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}&v=2
- 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
- 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:
- Starting August 1st, 2024, the
v=1
version of HypeAuditor API Solutions will be deprecated. For more information, please refer to v2 Migration guide- The objects
blogger_reach
andblogger_prices
have added to Endpoint since 31/05/2023.- The object
most_media
has deprecated from Endpoint since 31/05/2023. Please, refer to Account Media.- The object
er.hist
has deprecated from Endpoint since 19/10/2023. Please, refer to ER Benchmarks.- The object
media_per_week
has added to Endpoint since 08/12/2023.
Disclaimer
Before you start, consider that:
- First check of the account costs 1 credit and the report will be accessible for 1 year. Next check after 365 days will also cost 1 credit. To check the number of remaining credits, please refer to
restTokens
field in the fetched response.- 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 | object | Instagram report data |
features | object | optional data about the username |
Report 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_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
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. |
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
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
POSITIVE
if the attributescore
is 0NEUTRAL
if the attributescore
is less than 2NEGATIVE
if the attributescore
is 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” |
likes_comments_ratio
Attributes | Type | |
---|---|---|
value | float | blogger likes-comments ratio |
avg | float | similar bloggers avg likes-comments ratio |
title | string | ex., “Excellent” |
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.hist
is 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 and all
).
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_week
has 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 ; Low excellent ; High good ; 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 ; High fair ; Average good ; 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 ; High good ; Above_average great ; Average good ; Below_average fair ; 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 ; High good ; Good great ; Excellent fair ; 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": {
"user": {
"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=1697104098&sign=fa4e134b481b1afb609c5a43d9fd1806",
"posts_count": 3895,
"followers_count": 94131628,
"followings_count": 77,
"avg_likes": 881007,
"avg_comments": 2722,
"aqs": 98,
"aqs_name": "Excellent",
"aqs_description": "Highly engaged audience; Excellent likes activity; Excellent comments activity",
"blogger_categories": [
1000,
1029,
1038
],
"blogger_languages": [
"en"
],
"blogger_hashtags": {
"performance": {
"30d": [
{
"text": "nasa",
"media_count": 26,
"er_avg": 0.974758
},
{
"text": "space",
"media_count": 25,
"er_avg": 0.978054
},
{
"text": "solarsystem",
"media_count": 11,
"er_avg": 1.210632
},
{
"text": "hubble",
"media_count": 6,
"er_avg": 0.865
},
{
"text": "astronomy",
"media_count": 5,
"er_avg": 0.978054
},
{
"text": "astrophotography",
"media_count": 5,
"er_avg": 1.001817
},
{
"text": "stars",
"media_count": 5,
"er_avg": 0.920648
},
{
"text": "moon",
"media_count": 5,
"er_avg": 0.463957
},
{
"text": "galaxy",
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"_report_quality": "FULL",
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}
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 |