HypeAuditor For Instagram
Endpoint
Get the report of an Instagram account if it’s ready or requests the report if it’s not ready.
- By
username:
GET https://hypeauditor.com/api/method/auditor.report/?username={username}&features={featuresList}
- By
user_id:
GET https://hypeauditor.com/api/method/auditor.reportByUserId/?user_id={user_id}&features={featuresList}
Both endpoints return the report if it’s ready or request the report if it’s not ready.
Accept username (string without @) parameter or user_id parameter of an Instagram account that you request to check.
features (string) - optional - comma-separated list of additional features (ex. ranking,mentions). For further information, please refer to Features Object.
v=2 -optional - api version - use only v=2 version, v=1 is deprecated
The following Instagram reports are free by setting up our Sandbox Credentials; use them to test the API:
- vancityreynolds
- kevinhart4real
- kobebryant
- supersaf
- taylorswift
- selenagomez
- pepamack
- kendalljenner
- fcbarcelona
- theshilpashetty
- tarynwilliams
- nathanwpyle
Changelog
Important:
- Only
v=2version can be used in API request. Thev=1version of HypeAuditor API Solutions is deprecated since August 1, 2024. For more information, please refer to v2 Migration guide- The objects
blogger_reachandblogger_priceshave added to Endpoint since 31/05/2023.- The object
most_mediahas deprecated from Endpoint since 31/05/2023. Please, refer to Account Media.- The object
er.histhas deprecated from Endpoint since 19/10/2023. Please, refer to ER Benchmarks.- The object
media_per_weekhas added to Endpoint since 08/12/2023.- The string
report_statehas added to Endpoint since 07/01/2025.- Since 10/02/2025, 1 credit is charged per report request and refunded if the report generation attempt was unsuccessful.
- The string
blogger_genderwas added to Endpoint on 15/10/2025.- The
allkey in performance objects (e.g.:metrics.subscribers_count.performance.all) is deprecated. Instead, key365d, has been added. If your integration currently relies onall, please migrate to365d. Theallkey will be permanently removed on 01/06/2026. Updating your integration in advance will help prevent any service disruptions.
Disclaimer
Before you start, consider that:
- A report request costs 1 credit. If we cannot build a report due to reuqested social platform account restrictions or errors, 1 credit will be returned after the unsuccessful generation attempt. To check the number of remaining credits, please refer to
restTokensfield in the fetched response.- A report will be accessible for 1 year. Next check after 365 days will cost 1 credit.
- You will receive an error if the requested account is private, has less than 1000 followers, or less than 1 post. We can not analyze it!
- The data provided by this API is raw and unrounded. Users should be aware that decimal values may extend to several decimal places, and rounding has not been applied.
Images (posts and avatars)
Pictures stored on our CDN side (cdn.hypeauditor.com/*) have a lifespan of 28 days. You should re-request them if you cache their URIs on your side.
Requests frequency limit
100 requests per minute
Response Object
| Attributes | Type | |
|---|---|---|
| report_state | string | Instagram report state |
| user | object | Instagram report data |
report_state
String report_state identifies if the requested report is fully ready or lacks demographic data due to the low audience activity. List of report states:
| Report state | Description |
|---|---|
READY | Report is fully ready and contains all metrics |
READY_LOW_CONFIDENCE | Report lacks metrics demography_by_age, demography, audience_type, audience_geography |
NOT_READY | Report generation is still in progress |
User Object
| Attributes | Type | |
|---|---|---|
| username | string | blogger username |
| full_name | string | blogger name |
| is_private | boolean | privacy of account |
| is_verified | boolean | verified account |
| is_deleted | boolean | deleted account |
| about | string | account description |
| photo_url | string | avatar URL |
| posts_count | int | blogger posts count |
| followers_count | int | blogger followers count |
| followings_count | int | blogger followings count |
| avg_likes | int | average post likes |
| avg_comments | int | average comments likes |
| aqs | int | blogger AQS |
| aqs_name | string | blogger AQS name, ex. ‘Good’ |
| aqs_description | string | blogger AQS description, ex. ‘Average activity, no suspicious likes or comments’ |
| blogger_categories | array | List of blogger category ids, go to Taxonomy to get all available categories |
| blogger_languages | array | list of blogger languages in 2char format |
blogger_hashtags
Object blogger_hashtags contains performance object. Object contains 3 periods of data: (30d for 30 days, 90d for 90 days, and 180d for 180 days). Each array of time period contains the following object:
| Attributes | Type | |
|---|---|---|
| text | string | hashtag description |
| media_count | int | number of posts with hashtag |
| er_avg | float | average of ER |
blogger_graph_anomalies
List of detected anomalies on followers and followings charts. Response contains description, description_followers and description_followings objects. Each object contains the following structure
| Attributes | Type | |
|---|---|---|
| mark | string | mark description, ex. ‘Great’ |
| title | string | title description, ex. ‘Organic’ |
| description.title | string | title description, ex. ‘Organic’ |
| description.description | string | anomaly description, ex. ‘No incentivized following patterns or negative trends detected on followers & following graphs.’ |
List of all possible anomalies:
| Anomaly | Title | Description |
|---|---|---|
FU_PATT_AG_NT | Massfollowing patterns, abnormal growth and negative trend | Massfollowing patterns, abnormal growth and negative trend detected on followers & following graphs, audience might be inauthentic. |
FU_PATT_AG_NT_MORE_12M | Massfollowing patterns, abnormal growth and negative trend more than 12 months ago | Massfollowing patterns & abnormal growth detected on followers & following graphs, audience might be inauthentic. Also, negative trend detected on followers graph more than 12 months ago. |
FU_PATT_AG | Massfollowing patterns & abnormal growth | Massfollowing patterns & abnormal growth detected on followers & following graphs, audience might be inauthentic. |
FU_PATT_MORE_12M_AG_NT | Massfollowing patterns more than 12 months ago, abnormal growth, & negative trend | Abnormal growth & negative trend detected on followers graph, audience might be inauthentic. Also, Massfollowing patterns detected on following graph more than 12 months ago. |
FU_PATT_MORE_12M_AG_NT_MORE_12M | Massfollowing patterns & negative trend more than 12 months ago, abnormal growth | Abnormal growth detected on followers graph, audience might be inauthentic. Also, Massfollowing patterns & negative trend detected on followers & following graphs more than 12 months ago. |
FU_PATT_MORE_12M_AG | Massfollowing patterns, abnormal growth, and negative trend | Abnormal growth detected on followers graph, audience might be inauthentic. Also, Massfollowing patterns detected on following graph more than 12 months ago. |
AG_NT | Abnormal growth & negative trend | Abnormal growth & negative trend detected on followers graph, audience might be inauthentic. |
AG_NT_MORE_12M | Negative trend more than 12 months ago. Abnormal growth | Abnormal growth detected on followers graph, audience might be inauthentic. Also, negative trend detected on followers graph more than 12 months ago. |
AG | Abnormal growth | Abnormal growth detected on followers graph, audience might be inauthentic. |
FU_PATT_AG_MORE_12M_NT | Abnormal growth more than 12 months ago, Massfollowing patterns, and negative trend | Massfollowing patterns & negative trend detected on followers & following graphs, audience might be inauthentic. Also, abnormal growth detected on followers graph more than 12 months ago. |
FU_PATT_AG_MORE_12M_NT_MORE_12M | Abnormal growth & negative trend more than 12 months ago, Massfollowing patterns | Massfollowing patterns detected on following graph, audience might be inauthentic. Also, abnormal growth & negative trend detected on followers graph more than 12 months ago. |
FU_PATT_AG_MORE_12M | Abnormal growth more than 12 months ago. Massfollowing patterns | Massfollowing patterns detected on following graph, audience might be inauthentic. Also, abnormal growth detected on followers graph more than 12 months ago. |
FU_PATT_MORE_12M_AG_MORE_12M_NT | Massfollowing patterns & abnormal growth more than 12 months ago & negative trend | Negative trend detected on followers graph, audience might be inauthentic. Also, Massfollowing patterns & abnormal growth detected on followers & following graphs more than 12 months ago. |
FU_PATT_MORE_12M_AG_MORE_12M_NT_MORE_12M | Massfollowing patterns, abnormal growth, and negative trend more than 12 months ago | Massfollowing patterns, abnormal growth, and negative trend detected on followers & following graphs more than 12 months ago, audience might be inauthentic. |
FU_PATT_MORE_12M_AG_MORE_12M | Massfollowing patterns & abnormal growth more than 12 months ago | Massfollowing patterns & abnormal growth detected on followers & following graphs more than 12 months ago, audience might be inauthentic. |
AG_MORE_12M_NT | Abnormal growth more than 12 months ago & negative trend | Negative trend detected on followers graph, audience might be inauthentic. Also, abnormal growth detected on followers graph more than 12 months ago. |
AG_MORE_12M_NT_MORE_12M | Abnormal growth & negative trend more than 12 months ago | Abnormal growth & negative trend detected on followers graph more than 12 months ago, audience might be inauthentic. |
AG_MORE_12M | Abnormal growth more than 12 months ago | Abnormal growth detected on followers graph more than 12 months ago, audience might be inauthentic. |
FU_PATT_NT | Massfollowing patterns & negative trend | Massfollowing patterns & negative trend detected on followers & following graphs, audience might be inauthentic. |
FU_PATT_NT_MORE_12M | Negative trend more than 12 months ago & Massfollowing patterns | Massfollowing patterns detected on following graph, audience might be inauthentic. Also, negative trend detected on followers graph more than 12 months ago. |
FU_PATT | Massfollowing patterns | Massfollowing patterns detected on following graph, audience might be inauthentic. |
FU_PATT_MORE_12M_NT | Massfollowing patterns more than 12 months ago & negative trend | Negative trend detected on followers graph, audience might be inauthentic. Also, Massfollowing patterns detected on following graph more than 12 months ago. |
FU_PATT_MORE_12M_NT_MORE_12M | Massfollowing patterns & negative trend more than 12 months ago | Massfollowing patterns & negative trend detected on followers & following graphs more than 12 months ago, audience might be inauthentic. |
FU_PATT_MORE_12M | Massfollowing patterns more than 12 months ago | Massfollowing patterns detected on following graph more than 12 months ago, audience might be inauthentic. |
NT | Negative trend | Negative trend detected on followers graph, audience might be inauthentic. |
NT_MORE_12M | Negative trend more than 12 months ago | Negative trend detected on followers graph more than 12 months ago, audience might be inauthentic. |
ORGANIC | Organic | No "incentivized following" patterns or negative trends detected on followers & following graphs. |
Marks:
- great
- average
- poor
blogger_geo
| Attributes | Type | |
|---|---|---|
| country | string | blogger country in 2char form |
| state | string | blogger state |
| city | string | blogger city |
blogger_gender
| Attributes | Type | |
|---|---|---|
| male | string | The detected gender is male |
| female | string | The detected gender is female |
| unknown | string | No gender detected |
| null | - | The gender is not detected (for example, for brands' accounts like @nasa) |
blogger_emv
| Attributes | Type | |
|---|---|---|
| emv | int | Earned Media Value (EMV) |
| emv_from | int | EMV start interval |
| emv_mark | string | mark description for EMV, ex. ‘poor’ |
| emv_per_dollar | float | EMV per dollar |
| emv_similar | float | EMV similar accounts |
| emv_to | int | EMV finish interval |
| stories_emv | int | EMV for stories |
| stories_emv_from | int | EMV start interval for stories |
| stories_emv_to | int | EMV finish interval for stories |
Marks
- excellent
- very_good
- good
- average
- fair
- poor
The EMV metric requires a blogger to have 12 posts with likes within the last 30 days to be calculated. If there are not enough posts or if they contain hidden likes, the metric will return an empty field.
blogger_reach
| Attributes | Type | |
|---|---|---|
| reach | int | Estimated number of people who see a post created by this influencer. |
| reach_from | int | Reach start interval |
| reach_to | int | Reach finish interval |
| stories_reach | int | Estimated number of people who see a story created by this influencer. |
| stories_reach_from | int | Story reach start interval |
| stories_reach_to | int | Story reach finish interval |
| impressions | int | Average number of times people have seen an influencer’s content over the last 12 posts. |
The blogger_reach metric requires a blogger to have 12 posts with likes within the last 30 days to be calculated. If there are not enough posts or if they contain hidden likes, the metric will return an empty field.
blogger_prices
| Attributes | Type | |
|---|---|---|
| post_price | int | Estimated price for a post created by this influencer |
| post_price_from | int | Post price start interval |
| post_price_to | int | Post price finish interval |
| stories_price | int | Estimated price for a story created by this influencer |
| stories_price_from | int | Story post price start interval |
| stories_price_to | int | Story post price finish interval |
| cpe | float | Cost Per Engagement |
| cpe_from | float | CPE start interval |
| cpe_to | float | CPE finish interval |
| cpe_mark | string | Mark description for CPE, ex. ‘poor’ |
| cpe_similar | float | CPE similar accounts |
Marks
- excellent
- very_good
- good
- average
- fair
- poor
The blogger_prices metric requires a blogger to have 12 posts with likes within the last 30 days to be calculated. If there are not enough posts or if they contain hidden likes, the metric will return an empty field.
brand_safety
Is this blogger safe for brand, object like
| Attributes | Type | |
|---|---|---|
| score | int | score based on criteria values from 0 to 9, 0 is safe blogger |
| mark | string | Description of brand safety score |
| items.{criteria}.value | bool | Is this criteria found in blogger content/comments |
Marks
POSITIVEif the attributescoreis 0NEUTRALif the attributescoreis less than 2NEGATIVEif the attributescoreis equal to or more than 2
blogger_rankings
| Attributes | Type | |
|---|---|---|
| worldwide.rank | int | worldwide rank value |
| worldwide.delta | int | |
| country.rank | int | country rank value |
| country.country.id | int | country id from https://www.geonames.org |
| country.country.code | string | country in 2char form |
| country.country.title | string | country title |
| category.rank | int | category rank value |
| category.country.id | int | country id from https://www.geonames.org |
| category.country.code | string | country in 2char form |
| category.country.title | string | country title |
| category.category.id | int | category id, go to Taxonomy to get all available categories |
| category.category.title | string | title of category |
likes_spread
| Attributes | Type | |
|---|---|---|
| value | float | blogger likes spread |
| avg | float | similar bloggers average likes spread |
| title | string | ex., “Excellent” |
If likes-related metrics returnnull, it means an influencer disabled likes count for their posts. We do not track hidden likes.
likes_comments_ratio
| Attributes | Type | |
|---|---|---|
| value | float | blogger likes-comments ratio |
| avg | float | similar bloggers avg likes-comments ratio |
| title | string | ex., “Excellent” |
If likes-related metrics returnnull, it means an influencer disabled likes count for their posts. We do not track hidden likes.
audience_reachability
| Attributes | Type | |
|---|---|---|
| value | float | blogger audience reachability |
| avg | float | similar bloggers avg audience reachability |
| title | string | ex., “Excellent” |
Marks for Title
- Excellent
- Very Good
- Good
- Average
- Could be improved
- Low
audience_authenticity
| Attributes | Type | |
|---|---|---|
| value | float | blogger audience authenticity |
| avg | float | similar bloggers avg audience authenticity |
| title | string | ex., “Excellent” |
audience_type
| Attributes | Type | |
|---|---|---|
| real | float | prc of real audience |
| susp | float | prc of suspicious audience |
| infs | float | prc of influencers audience |
| mass | float | prc of mass followers audience |
most_media
IMPORTANT
This metric has been deprecated since 31/05/2023. Please, refer to Account Media.
audience_ethnicity
| Attributes | Type | |
|---|---|---|
| name | string | name of ethnicity group |
| value | float | prc of ethnicity group |
audience_sentiments
| Attributes | Type | |
|---|---|---|
| sentiments.POSITIVE.count | int | count of positive comments |
| sentiments.POSITIVE.prc | float | prc of positive comments |
| sentiments.NEUTRAL.count | int | count of neutral comments |
| sentiments.NEUTRAL.prc | float | prc of neutral comments |
| sentiments.NEGATIVE.count | int | count of negative comments |
| sentiments.NEGATIVE.prc | float | prc of negative comments |
| score | int | final score |
| comments_count | int | count of comments |
| posts_count | int | count of posts |
likes_comments_ratio_chart
Array likes_comments_ratio_chart includes the 12 most recent posts likes/comments.
| Attributes | Type |
|---|---|
| x | int |
| y | int |
followers_chart
| Attributes | Type | |
|---|---|---|
| date | int | Unix timestamp in seconds |
| count | int | number of followers in a given date |
following_chart
| Attributes | Type | |
|---|---|---|
| date | int | Unix timestamp in seconds |
| count | int | number of following in a given date |
er
IMPORTANT
The object
er.histis deprecated since 19/10/2023, thus the data is not updated. Please, refer to ER Benchmarks.
Object er contains performance object. Object contains 6 periods of data: (7d for 7 days, 30d for 30 days, 90d for 90 days, 180d for 180 days, 365d for 365 days).
| Attributes | Type | |
|---|---|---|
| value | float | Blogger Engagement Rate, prc |
| avg | float | Similar bloggers average Engagement Rate |
| title | string | ex., “Excellent, compared to other brand accounts” |
| hist | array | Distribution of ER for similar accounts |
| hist.count | int | count of accounts |
| hist.min | float | min ER in group |
| hist.max | float | max ER in group |
| performance.{period}.value | float | value for given period |
| performance.{period}.value_prev | float | previous value for given period |
| performance.{period}.max | float | max ER for given period |
| performance.{period}.min. | float | min ER for given period |
subscribers_growth_prc
Object subscribers_growth_prc contains performance object. Object contains 5 periods of data: (7d for 7 days, 30d for 30 days, 90d for 90 days, 180d for 180 days and 365d for 365 days). Each array of time period contains the following object:
| Attributes | Type | |
|---|---|---|
| value | float | subscribers growth prc for given period |
| mark | string | mark description, ex. "average" |
| mark_title | string | mark title description, ex. "average" |
| similar | float | value for similar accounts |
Marks & Mark Title
- excellent
- good
- average
- fair
- poor
comments_rate
| Attributes | Type | |
|---|---|---|
| value | float | comments rate value |
| avg | float | average value |
| title | string | mark, ex. ‘excellent’ |
audience_languages
| Attributes | Type | |
|---|---|---|
| data | array | array of {code: string, value: float} objects. Code is ISO 639-1, and value the prc. |
audience_age_21_plus_prc
| Attributes | Type | |
|---|---|---|
| value | float | adult audience percent |
social_networks
Links to other blogger social networks. If the object is null that means no data is available for the blogger.
| Attributes | Type | |
|---|---|---|
| data | array | array of {type: int, title: string, social_id: string, username, string, avatar_url: string, subscribers_count: int, er: float} objects.type is integer code of social network,title is name of blogger,social_id is identifier in this network,title is name in social network,avatar_url is link to avatar,subscribers_count is count of subscribers,er is count of engagement rate |
Social networks ids map:
| Id | Social network |
|---|---|
| 1 | |
| 2 | youtube |
| 3 | tiktok |
| 4 | twitch |
| 5 | |
| 7 | snapchat |
audience_education
| Attributes | Type | |
|---|---|---|
| no_education | float | prc of audience without education |
| incomplete_primary | float | prc of audience with incomplete primary education |
| primary | float | prc of audience with primary education |
| lower_secondary | float | prc of audience with lower secondary education |
| upper_secondary | float | prc of audience with upper secondary education |
| post_secondary | float | prc of audience with post secondary education |
audience_marital_status
| Attributes | Type | |
|---|---|---|
| single | float | prc of single audience |
| married | float | prc of married audience |
| widowed | float | prc of widowed audience |
| divorced | float | prc of divorced audience |
media_per_week
IMPORTANT
The object
media_per_weekhas added to Endpoint since 08/12/2023.
| Attributes | Type | |
|---|---|---|
| value | float | count of media per week |
| mark | string | mark, ex. ‘excellent’ |
Marks
- excellent
- very_good
- good
- average
- fair
- poor
growth
Growth analysis
| Attributes | Type | |
|---|---|---|
| title | string | mark, ex. ‘Organinc’ |
| description | string | description of the growth analysis, ex. "No "incentivized following" patterns or negative trends detected on followers & following graphs.” |
audience_geography
| Attributes | Type | |
|---|---|---|
| countries | array | array of {name: string, code: string, value: float} objects. Code is ISO 3166 two letters country code. United Kingdom is uk. |
| states | array | array of {name: string, value: float} objects. |
| cities | array | array of {name: string, value: float, id: int} objects. ID from https://www.geonames.org |
audience_interests
| Attributes | Type | |
|---|---|---|
| data | array | array of [0: string, 1: float] objects, where 0 is the category name and 1 the category weight. |
est_reach
Estimated reach
| Attributes | Type | |
|---|---|---|
| from | int | start interval |
| to | int | final interval |
yearly_growth
| Attributes | Type | |
|---|---|---|
| value | float | prc of yearly growth |
| avg | float | similar bloggers average Yearly Growth prc |
| title | string | ex., “Excellent” |
advertising_data
Info!
Please note that the metric is only returned if the account has ad posts; otherwise, it will be absent.
| Attributes | Type | |
|---|---|---|
| avg_ad_er | float | average advertising ER |
| avg_er_display | array | array of {0: string, 1: string} objects, where 0 and 1 are marks (mark & Title correspondingly):poor ; Lowexcellent ; Highgood ; Normal |
| ad_posts.count | float | count of advertising posts |
| ad_posts.prc | float | prc of advertising posts |
| ad_posts.display | array | array of {0: string, 1: string} objects, where 0 and 1 are marks (mark & Title correspondingly):poor ; Highfair; Averagegood ; Normal |
| all_posts.count | int | count of all posts |
| all_posts.display | array | array of {0: string, 1: string} objects, where 0 and 1 are marks (mark & Title correspondingly):poor ; Highgood ; Above_averagegreat ; Averagegood ; Below_averagefair; Low |
| brand_mentions_count | int | count of brand mentions |
| brands_categories | array | array of objects strings |
| regular_posts.count | int | count of regular posts |
| regular_posts.display | array | array of {0: string, 1: string} objects, where 0 and 1 are marks (mark & Title correspondingly):poor; Highgood ; Goodgreat ; Excellentfair ; Low |
| brand_mentions | array | array of {username:string, name: string, avatar: string, mentions_count: int, mention_er: float, category: string} objects.Username is brand username,name is brand name,avatar is link to brand avatar,mentions_count is number of times brand was mentioned by influencer, mentions_er is number of times brand was mentioned by influencer,category is brand category |
| brand_categories_html | string | description of brand categories |
| avg_er | float | average ER |
post_frequency
| Attributes | Type | |
|---|---|---|
| value | float | number of posts per week |
location
| Attributes | Type | |
|---|---|---|
| value | string | blogger location - country, city |
demography_by_age
Array
| Attributes | Type | |
|---|---|---|
| gender | string | male or female |
| value | float | percent of the gender group |
| by_age_group | array | array of {group: string, value: float} objects, where gender is the gender group, and value is the prc. |
demography
| Attributes | Type | |
|---|---|---|
| gender | string | “F” for female or “M” for male |
| value | float | percent of the gender group |
contact_details
| Attributes | Type | |
|---|---|---|
| emails | array | array of strings |
| phones | array | array of strings |
audience_income
Audience Yearly Household Income
| Attributes | Type |
|---|---|
| 0k - 5k | float |
| 5k - 10k | float |
| 10k - 25k | float |
| 25k - 50k | float |
| 50k - 75k | float |
| 75k - 100k | float |
| 100k - 150k | float |
| 150k - 200k | float |
| 200k+ | float |
est_post_price
Estimated post price
| Attributes | Type | |
|---|---|---|
| min | int | start interval |
| max | int | finish interval |
est_stories_price
Estimated story price
| Attributes | Type | |
|---|---|---|
| min | int | start interval |
| max | int | finish interval |
geo_quality
| Attributes | Type |
|---|---|
| code | string |
| title | string |
Features Object (optional)
For access to report additional features you need to specify features parameter in the request
| Feature | Response field | |
|---|---|---|
| ranking | features.ranking | Ranking data for specified channel. |
| mentions | features.content | Influencer mentions |
| mentioned_by | features.report | Influencers that mentioned this account last 90 days. |
| notable_audience | features.report | Influencers that have recently interacted (liked or commented) with this account. |
| audience_brand_affinity | features.report | A list of brands the influencer’s audience engages with |
| er_benchmarks | features.report | ER Benchmarks |
er_benchmarks
ER Benchmarks include historical data for ER Tiers (data.tiers), ER Countries (data.countries), ER Category Labels (data.labels).
| Attributes | Type | |
|---|---|---|
| data.tiers.mark | string | ER mark. E.g.: average |
| data.tiers.similar | float | ER value for similar accounts |
| data.tiers.hist | array of objects | array of {count: int, min: float, max: float} objects.count is number of accounts,min is min ER value,max is max ER value. |
| data.countries.hist | array of objects | array of {mark: string, similar: float, id: int, code: string, er: float, min: float, max: float, count: int} objects.mark is ER mark,similar is ER value for similar accounts,id is ISO 3166 two letters country code,code is country two letters code, er is ER value,min is min ER value,max is max ER value,count is number of accounts. |
| data.labels.hist | array of objects | array of {mark: string, similar: float, id: int, er: float, min: float, max: float, count: int} objects.mark is ER mark,similar is ER value for similar accounts, id is category label, er is ER value,min is min ER value,max is max ER value,count is number of accounts. |
Marks
- excellent
- very_good
- good
- average
- fair
- poor
Requests
Set YOUR_ID and YOUR_TOKEN from HypeAuditor.
curl -X GET \
https://hypeauditor.com/api/method/auditor.report?username=vancityreynolds&v=2 \
-H 'x-auth-id: %YOUR_ID%' \
-H 'x-auth-token: %YOUR_TOKEN%' \
<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => 'https://hypeauditor.com/api/method/auditor.report?username=vancityreynolds&v=2',
CURLOPT_CUSTOMREQUEST => 'GET',
CURLOPT_HTTPHEADER => [
'x-auth-id: YOUR_ID',
'x-auth-token: YOUR_TOKEN'
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo 'cURL Error #:' . $err;
} else {
echo $response;
}
Using Postman App
You can use Postman to request HypeAuditor API.
Setup request params:
Set YOUR_ID and YOUR_TOKEN from HypeAuditor. Setup headers:
Note:
You don’t need to pre-request the report from the web, you can request it directly from API.
Sample Response
{
"result": {
"report_state": "READY",
"user": {
"id": "528817151",
"username": "nasa",
"full_name": "NASA",
"is_private": false,
"is_verified": true,
"is_deleted": false,
"about": "🚀 🌎 Exploring the universe and our home planet. Verification: nasa.gov/socialmedia",
"photo_url": "https://cdn.hypeauditor.com/img/instagram/user/528817151.jpg?w=320&till=1775001540&sign=9bdaa5795691953d3d41ba20d565bafe",
"posts_count": 4606,
"followers_count": 98706039,
"followings_count": 93,
"avg_likes": 289882,
"avg_comments": 1208,
"aqs": 97,
"aqs_name": "Excellent",
"aqs_description": "Highly engaged audience; Excellent likes activity; Excellent comments activity",
"blogger_categories": [
1029,
1038
],
"blogger_languages": [
"en"
],
"blogger_hashtags": {
"performance": {
"30d": [
{
"text": "nasa",
"media_count": 21,
"er_avg": 0.287452
},
{
"text": "space",
"media_count": 14,
"er_avg": 0.273277
},
{
"text": "hubble",
"media_count": 5,
"er_avg": 0.561403
},
{
"text": "moon",
"media_count": 5,
"er_avg": 0.287452
},
{
"text": "universe",
"media_count": 4,
"er_avg": 0.386913
},
{
"text": "stars",
"media_count": 4,
"er_avg": 0.282369
},
{
"text": "skywatching",
"media_count": 4,
"er_avg": 0.185468
},
{
"text": "nebula",
"media_count": 4,
"er_avg": 0.533096
},
{
"text": "whatsup",
"media_count": 3,
"er_avg": 0.144575
},
{
"text": "mars",
"media_count": 2,
"er_avg": 0.211729
}
],
"90d": [
{
"text": "nasa",
"media_count": 52,
"er_avg": 0.303625
},
{
"text": "space",
"media_count": 32,
"er_avg": 0.345181
},
{
"text": "hubble",
"media_count": 11,
"er_avg": 0.304782
},
{
"text": "universe",
"media_count": 10,
"er_avg": 0.35047
},
{
"text": "stars",
"media_count": 8,
"er_avg": 0.339341
},
{
"text": "moon",
"media_count": 8,
"er_avg": 0.504319
},
{
"text": "galaxy",
"media_count": 7,
"er_avg": 0.396316
},
{
"text": "nebula",
"media_count": 7,
"er_avg": 0.474036
},
{
"text": "skywatching",
"media_count": 6,
"er_avg": 0.186383
},
{
"text": "iss",
"media_count": 5,
"er_avg": 0.203621
}
],
"180d": [
{
"text": "nasa",
"media_count": 85,
"er_avg": 0.323432
},
{
"text": "space",
"media_count": 47,
"er_avg": 0.331455
},
{
"text": "hubble",
"media_count": 19,
"er_avg": 0.352238
},
{
"text": "universe",
"media_count": 18,
"er_avg": 0.34422
},
{
"text": "stars",
"media_count": 15,
"er_avg": 0.338131
},
{
"text": "galaxy",
"media_count": 12,
"er_avg": 0.381567
},
{
"text": "moon",
"media_count": 12,
"er_avg": 0.518749
},
{
"text": "spacestation",
"media_count": 9,
"er_avg": 0.200343
},
{
"text": "earth",
"media_count": 9,
"er_avg": 0.27822
},
{
"text": "nebula",
"media_count": 9,
"er_avg": 0.503379
}
]
}
},
"blogger_graph_anomalies": {
"description": {
"mark": "great",
"title": "ORGANIC",
"description": {
"title": "Organic",
"description": "No \"incentivized following\" patterns or negative trends detected on followers & following graphs."
}
},
"description_followers": {
"mark": "great",
"title": "ORGANIC",
"description": {
"title": "Organic",
"description": "No abnormal growths or negative trends detected on followers graphs."
}
},
"description_followings": {
"mark": "great",
"title": "ORGANIC",
"description": {
"title": "Organic",
"description": "No \"incentivized following\" patterns detected on following graph."
}
}
},
"blogger_geo": {
"country": "us",
"state": "5128638",
"city": "5134086"
},
"blogger_gender": null,
"blogger_emv": {
"emv": 1241393,
"emv_from": 600000,
"emv_to": 2000000,
"emv_per_dollar": 3.47,
"stories_emv": 215209,
"stories_emv_from": 85000,
"stories_emv_to": 400000,
"emv_mark": "fair",
"emv_similar": 5.276757
},
"blogger_reach": {
"reach": 10492355,
"post_price_mark": "excellent",
"reach_from": 5250000,
"reach_to": 15700000,
"reach_mark": "excellent",
"stories_reach": 1946419,
"stories_reach_from": 973000,
"stories_reach_to": 2920000,
"stories_reach_mark": "excellent",
"impressions": 7530260
},
"blogger_prices": {
"post_price": 358173,
"post_price_from": 179000,
"post_price_to": 537000,
"cpm": 34.136569,
"cpm_from": 17.06004,
"cpm_to": 51.180121,
"stories_price": 62081,
"stories_price_from": 30000,
"stories_price_to": 90000,
"cpe": 1.227934,
"cpe_from": 0.299543,
"cpe_to": 3.605781,
"cpe_mark": "fair",
"cpe_similar": 0.72376
},
"brand_safety": {
"score": 0,
"mark": "POSITIVE",
"items": {
"alcohol": {
"value": false
},
"sentiment_negative": {
"value": false
},
"crime": {
"value": false
},
"toxic": {
"value": false
},
"offensive": {
"value": false
},
"sex": {
"value": false
},
"religion": {
"value": false
},
"politics": {
"value": false
},
"pranks": {
"value": false
}
}
},
"blogger_rankings": {
"worldwide": {
"rank": 110,
"delta": 0
},
"countries": [
{
"rank": 19,
"country": {
"id": 298795,
"code": "tr",
"title": "Turkey"
}
},
{
"rank": 21,
"country": {
"id": 2921044,
"code": "de",
"title": "Germany"
}
},
{
"rank": 33,
"country": {
"id": 130758,
"code": "ir",
"title": "Iran"
}
},
{
"rank": 39,
"country": {
"id": 6251999,
"code": "ca",
"title": "Canada"
}
},
{
"rank": 54,
"country": {
"id": 3175395,
"code": "it",
"title": "Italy"
}
},
{
"rank": 58,
"country": {
"id": 2635167,
"code": "gb",
"title": "United Kingdom"
}
},
{
"rank": 61,
"country": {
"id": 3017382,
"code": "fr",
"title": "France"
}
},
{
"rank": 85,
"country": {
"id": 3469034,
"code": "br",
"title": "Brazil"
}
},
{
"rank": 93,
"country": {
"id": 1269750,
"code": "in",
"title": "India"
}
},
{
"rank": 106,
"country": {
"id": 6252001,
"code": "us",
"title": "United States"
}
}
],
"country": {
"rank": 19,
"country": {
"id": 298795,
"code": "tr",
"title": "Turkey"
}
},
"categories": [
{
"category": {
"id": 1029,
"title": "Science"
},
"countries": [
{
"rank": 1,
"country": {
"id": 3469034,
"code": "br",
"title": "Brazil"
}
},
{
"rank": 1,
"country": {
"id": 2635167,
"code": "gb",
"title": "United Kingdom"
}
},
{
"rank": 1,
"country": {
"id": 1269750,
"code": "in",
"title": "India"
}
},
{
"rank": 1,
"country": {
"id": 130758,
"code": "ir",
"title": "Iran"
}
},
{
"rank": 1,
"country": {
"id": 6252001,
"code": "us",
"title": "United States"
}
}
]
},
{
"category": {
"id": 1038,
"title": "Photography"
},
"countries": [
{
"rank": 1,
"country": {
"id": 2635167,
"code": "gb",
"title": "United Kingdom"
}
},
{
"rank": 3,
"country": {
"id": 3469034,
"code": "br",
"title": "Brazil"
}
},
{
"rank": 3,
"country": {
"id": 1269750,
"code": "in",
"title": "India"
}
},
{
"rank": 3,
"country": {
"id": 130758,
"code": "ir",
"title": "Iran"
}
},
{
"rank": 3,
"country": {
"id": 6252001,
"code": "us",
"title": "United States"
}
}
]
}
],
"category": {
"rank": 1,
"country": {
"id": 3469034,
"code": "br",
"title": "Brazil"
},
"category": {
"id": 1029,
"title": "Science"
}
}
},
"likes_spread": {
"value": 0.83,
"avg": 1.857885,
"title": "Good"
},
"likes_comments_ratio": {
"value": 0.4,
"avg": 1.4,
"title": "Good"
},
"audience_reachability": {
"value": 90.5,
"avg": 85.514842,
"title": "Good"
},
"audience_authenticity": {
"value": 83.67,
"avg": 72.194952,
"title": "Very Good"
},
"audience_type": {
"real": 79.7,
"susp": 6.85,
"infs": 3.97,
"mass": 9.49
},
"most_media": [],
"audience_ethnicity": [
{
"name": "Caucasian",
"value": 49.82
},
{
"name": "Asian",
"value": 21.72
},
{
"name": "Hispanic",
"value": 5.87
},
{
"name": "Arabian",
"value": 12.93
},
{
"name": "African",
"value": 6.89
},
{
"name": "Indian",
"value": 2.78
}
],
"audience_sentiments": {
"sentiments": {
"POSITIVE": {
"count": 527,
"prc": 72.89
},
"NEUTRAL": {
"count": 56,
"prc": 7.75
},
"NEGATIVE": {
"count": 140,
"prc": 19.36
}
},
"score": 80,
"comments_count": 723,
"posts_count": 88
},
"likes_comments_ratio_chart": [
{
"x": 277177,
"y": 3817
},
{
"x": 268452,
"y": 989
},
{
"x": 487805,
"y": 1638
},
{
"x": 292247,
"y": 1150
},
{
"x": 299602,
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},
{
"x": 403195,
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},
{
"x": 173727,
"y": 521
},
{
"x": 1189022,
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},
{
"x": 176227,
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},
{
"x": 903563,
"y": 3092
},
{
"x": 214067,
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},
{
"x": 108515,
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},
{
"x": 230723,
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},
{
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},
{
"x": 145386,
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},
{
"x": 365517,
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},
{
"x": 239693,
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},
{
"x": 224232,
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},
{
"x": 374369,
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},
{
"x": 287518,
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},
{
"x": 715926,
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},
{
"x": 296479,
"y": 1381
},
{
"x": 98633,
"y": 700
},
{
"x": 255864,
"y": 1056
},
{
"x": 292876,
"y": 1001
},
{
"x": 504055,
"y": 1289
},
{
"x": 727012,
"y": 2017
},
{
"x": 554496,
"y": 2855
},
{
"x": 223480,
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},
{
"x": 295746,
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}
],
"followers_chart": [
{
"date": 1770768000,
"count": 98706039
},
{
"date": 1770681600,
"count": 98683142
},
{
"date": 1770595200,
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},
{
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},
{
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{
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{
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{
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{
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{
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{
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},
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},
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},
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},
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},
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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0.49
],
[
"Photography",
0.48
],
[
"Snowboarding",
0.44
],
[
"Social Issues",
0.37
],
[
"Film & Television",
0.35
],
[
"Surfing",
0.33
],
[
"Technology & Gadgets",
0.32
],
[
"Entertainment",
0.25
],
[
"Politics",
0.24
],
[
"Theater",
0.21
]
],
"est_reach": {
"from": 5250000,
"to": 15700000
},
"yearly_growth": {
"value": 2.06,
"avg": 9.45,
"title": "Average"
},
"advertising_data": {
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"avg_er_display": [
"good",
"Normal"
],
"ad_posts": {
"count": 70,
"prc": 70.71,
"display": [
"poor",
"High"
]
},
"all_posts": {
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"fair",
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]
},
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"Machinery & Technologies",
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],
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"display": [
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]
},
"brands_mentions": [
{
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},
{
"username": "iss",
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"mentions_count": 14,
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},
{
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},
{
"username": "nasasolarsystem",
"name": "NASA Solar System Exploration",
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"mentions_count": 7,
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},
{
"username": "nasascience_",
"name": "NASA Science",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/1210974752.jpg?w=150&till=1775001540&sign=4298af0cc5e1325e3511c375cec777b0",
"mentions_count": 2,
"mention_er": 0.3,
"category": "Science"
},
{
"username": "nasakennedy",
"name": "NASA's Kennedy Space Center",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/549403870.jpg?w=150&till=1775001540&sign=72df16f8d8c8e02462401a850be0d653",
"mentions_count": 5,
"mention_er": 0.29,
"category": "Science"
},
{
"username": "canadianspaceagency",
"name": "Canadian Space Agency",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/3517229058.jpg?w=150&till=1775001540&sign=258676c246a3cd7a4ef89895def3c77c",
"mentions_count": 1,
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"category": "Science"
},
{
"username": "nasawebb",
"name": "NASA Webb Telescope",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/549313808.jpg?w=150&till=1775001540&sign=a282b9079e11a9707d0705a7182b83f6",
"mentions_count": 13,
"mention_er": 0.37,
"category": "Science"
},
{
"username": "usdot",
"name": "U.S. Dept. of Transportation",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/1601826309.jpg?w=150&till=1775001540&sign=dfa6285cc1f5231144f6c142a0c9bafb",
"mentions_count": 1,
"mention_er": 0.02,
"category": "Travel"
},
{
"username": "nasa_marshall",
"name": "Marshall Space Flight Center",
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"mentions_count": 1,
"mention_er": 0.33,
"category": "Science"
},
{
"username": "nasachandraxray",
"name": "NASA Chandra X-ray Observatory",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/1332348075.jpg?w=150&till=1775001540&sign=994aaf1549a046e442962066953dc9c8",
"mentions_count": 3,
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},
{
"username": "esawebb",
"name": "James Webb Space Telescope",
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"mentions_count": 1,
"mention_er": 0.3,
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},
{
"username": "nasagoddard",
"name": "NASA Goddard",
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"mentions_count": 2,
"mention_er": 0.08,
"category": "Photography"
},
{
"username": "nasauniverse",
"name": "NASA Universe",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/65495240044.jpg?w=150&till=1775001540&sign=d998da223480a480c7887c024035c09e",
"mentions_count": 3,
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},
{
"username": "nasajohnson",
"name": "NASA’s Johnson Space Center",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/673882723.jpg?w=150&till=1775001540&sign=280c14d70d64a6fb505e68ba16108104",
"mentions_count": 1,
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},
{
"username": "copernicus_eu",
"name": "CopernicusEU",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/5452839578.jpg?w=150&till=1775001540&sign=8a1e72efd9b9dc6b363d807ead085ca1",
"mentions_count": 1,
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"category": "Nature & landscapes"
},
{
"username": "esa_earth",
"name": "ESA Earth Observation",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/4541067110.jpg?w=150&till=1775001540&sign=f40d99c757ff14ed4ba44e6c1ac06935",
"mentions_count": 1,
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},
{
"username": "nasaearth",
"name": "NASA Earth",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/354812686.jpg?w=150&till=1775001540&sign=485fd6f50e8563d116dcf22388d4c6d4",
"mentions_count": 1,
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"category": "Nature & landscapes"
},
{
"username": "europeanspaceagency",
"name": "ESA - European Space Agency",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/1387463011.jpg?w=150&till=1775001540&sign=193714f6562cd370849e060deb413c82",
"mentions_count": 1,
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"category": "Science"
},
{
"username": "noaa",
"name": "NOAA",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/481149732.jpg?w=150&till=1775001540&sign=b16379d7efc8d7c1a920569ec3be4a1c",
"mentions_count": 1,
"mention_er": 0.15,
"category": "Science"
},
{
"username": "cnes_france",
"name": "CNES",
"avatar": "https://cdn.hypeauditor.com/img/instagram/user/24627518.jpg?w=150&till=1775001540&sign=b25d5ec48e71e699ae0132d53927ca11",
"mentions_count": 1,
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"category": "Science"
}
],
"brands_categories_html": "Science, Photography, Nature & landscapes",
"avg_er": 0.38
},
"post_frequency": 3.96,
"location": "United States (USA), Rochester",
"demography_by_age": [
{
"gender": "male",
"value": 55.78000000000001,
"by_age_group": [
{
"group": "age13-17",
"value": 1.63
},
{
"group": "age18-24",
"value": 7.25
},
{
"group": "age25-34",
"value": 28.19
},
{
"group": "age35-44",
"value": 11.63
},
{
"group": "age45-54",
"value": 4.13
},
{
"group": "age55-64",
"value": 1.81
},
{
"group": "age65-",
"value": 1.14
}
]
},
{
"gender": "female",
"value": 44.21,
"by_age_group": [
{
"group": "age13-17",
"value": 2.43
},
{
"group": "age18-24",
"value": 10.97
},
{
"group": "age25-34",
"value": 19.58
},
{
"group": "age35-44",
"value": 5.94
},
{
"group": "age45-54",
"value": 2.74
},
{
"group": "age55-64",
"value": 1.42
},
{
"group": "age65-",
"value": 1.13
}
]
}
],
"demography": [
{
"gender": "M",
"value": 55.78000000000001
},
{
"gender": "F",
"value": 44.21
}
],
"contact_details": {
"emails": [
"[email protected]"
]
},
"audience_income": {
"0k-5k": 24.7,
"5k-10k": 16.17,
"10k-25k": 19.72,
"25k-50k": 13,
"50k-75k": 8.14,
"75k-100k": 5.72,
"100k-150k": 6.69,
"150k-200k": 3.11,
"200k+": 2.73
},
"est_post_price": {
"min": 179000,
"max": 537000
},
"est_stories_price": {
"min": 30000,
"max": 90000
},
"geo_quality": {
"code": "",
"title": ""
}
},
"validUntil": 1802357158,
"_report_quality": "FULL",
"restTokens": 9926
}
}
Note:
We do not provide Quality Audience and Authentic engagement per post via API, since they are easy to calculate using existing metrics:
Quality Audience = followers_count * (audience_type.real + audience_type.infs)
Authentic Engag ement = er.value * followers_count * (audience_type.real + audience_type.infs)
highDemand field is “true” when HypeAuditor experiences unexpected high load that effects report generation time negatively. When you receive that field you may want to inform your users that the delay is temporary and we’re fixing it. Everything will go back to normal and all requests are safe.
Error codes
If error occurred while processing request corresponding message will be returned:
{
"error": {
"code": 31,
"description": "Account has not enough followers"
}
}
| Code | Description |
|---|---|
| 6 | Too many requests |
| 16 | Object has not found |
| 25 | Service is unavailable |
| 26 | You do not have enough credits |
| 27 | You do not have API access |
| 30 | Account is private |
| 31 | Account does not have enough followers |
| 33 | Account is hidden |
| 34 | Account is suspended |
| 37 | Account is restricted |