HypeAuditor For YouTube
Endpoint
Get the report of a YouTube channel if it’s ready or requests the report if it’s not ready.
GET https://hypeauditor.com/api/method/auditor.youtube/?channel={channel}&features={featuresList}
channel
is the identifier of the channel from the URL. It can be channel ID: UCLA_DiR1FfKNvjuUpBHmylQ
or channel username: NASA
.
E.g.:
https://www.youtube.com/channel/UCLA_DiR1FfKNvjuUpBHmylQ
https://www.youtube.com/@NASA
Note:
- Endpoint doesn’t accept
/videos/
(https://www.youtube.com/@NASA/videos
) pages.- First check of the username 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.UCLA_DiR1FfKNvjuUpBHmylQ
orNASA
report is free, use it to test the API.
features
(string) - optional - comma separated list of additional features (ex. blogger_mentions_performance
), see below.
Requests frequency limit
100 requests per minute
Additional features
For access to report additional features you need to specify features
parameter in request
Feature | Response field |
---|---|
blogger_mentions_performance | features.blogger_mentions_performance |
Changelog
Important
- Object
ltd_rate
has depracated since 11/2021.- Endpoint accepts usernames (
https://www.youtube.com/@NASA
) since 23/05/2023.Media Object
has limited to 50 items since 09/10/2023. Please, refer to Account Media Endpoint to get all Content Media of a YouTube channel.- Object
category_name
has depracated since 11/2023. Please refer to [blogger_thematics
](https://hypeauditor.readme.io/reference/report_youtube#blogger_thematics
Error codes
You will receive error if requested channel is not found, has no videos or no views.
CHANNEL_NOT_FOUND
channel not found on YouTubeNO_VIDEOS
channel has no videosNO_VIEWS
channel has no viewsNOT_READY
come back later
Response Object
Attributes | Type | |
---|---|---|
report | object | YouTube report data |
metrics_history | object | report metrics history |
media | object | YouTube videos of the channel |
Report Object
Attributes | Type | |
---|---|---|
basic | object | general information about the channel |
metrics | object | channel metrics and calculated metrics |
features | object | rich data about channel |
Basic Object
IMPORTANT
Object
category_name
is deprecated since 11/2023
Attributes | Type | |
---|---|---|
id | string | channel id |
username | string | channel username |
title | string | channel title |
avatar_url | string | channel avatar url |
description | string | channel description |
category_name | string | DEPRECATED use features.blogger_thematics instead. |
last_video_time | int | timestamp if available |
Metrics Object
Each metrics objects may contain value
field and performance
object. Performance object contains 4 periods of data: (30d
for 30 day data, 90d
for 90, 180d
for 180 and all
for all-time data). Each period object contains value
computed for current period (30/90/180d) and value_prev
computed for the same period before current. For example: on 4th of July value
shows data for Jun 5 - Jul 4 and value_prev
shows data for May 4 - Jun 4.
Note:
value
and values in performance are not the same.all
objects contain last two years data.
subscribers_count
Attributes | Type | |
---|---|---|
value | int | Number of total subscribers |
performance.value | int | number of new subscribers in a given period |
media_count
Attributes | Type | |
---|---|---|
value | int | Number of total media |
performance.value | int | number of new media in a given period |
views_count
Attributes | Type | |
---|---|---|
value | int | Number of total views |
performance.value | int | number of views in a given period |
views_avg
Attributes | Type | |
---|---|---|
performance.value | int | number of average views in a given period |
videos_v30
Views 30d
Attributes | Type |
---|---|
performance.value | int |
er
Engagement Rate
Attributes | Type |
---|---|
performance.value | float |
alikes_count
Attributes | Type | |
---|---|---|
performance.value | int | number of likes and dislikes in a given period |
likes_count
Attributes | Type | |
---|---|---|
performance.value | int | number of likes in a given period |
dislikes_count
Attributes | Type | |
---|---|---|
performance.value | int | number of dislikes in a given period |
comments_count
Attributes | Type | |
---|---|---|
performance.value | int | number of comments in a given period |
video_views_count
Attributes | Type | |
---|---|---|
performance.value | int | number of views on videos posted in a given period |
video_views_avg
Attributes | Type | |
---|---|---|
performance.value | int | average number of views on videos posted in a given period |
comments_rate
Attributes | Type | |
---|---|---|
performance.value | float | comments to views ratio - comments per 100 views |
performance.is_reactions_allowed | bool | if any video in a given period can be rated |
performance.is_comments_enabled | bool | if any video in a given period can be commented |
performance.mark | string | quality mark |
reactions_rate
Attributes | Type | |
---|---|---|
performance.value | float | likes and dislikes to views ratio |
performance.is_reactions_allowed | bool | if any video in a given period can be rated |
performance.is_comments_enabled | bool | if any video in a given period can be commented |
performance.mark | string | quality mark |
ltd_rate
IMPORTANT
This metric is deprecated since 11/2021
Attributes | Type | |
---|---|---|
performance.value | float | likes to dislikes ratio |
performance.is_reactions_allowed | bool | if any video in a given period can be rated |
performance.is_comments_enabled | bool | if any video in a given period can be commented |
performance.mark | string | quality mark |
likes_comments_ratio
Attributes | Type | |
---|---|---|
performance.value | float | likes to comments ratio |
performance.value_prev | float | likes to comments ratio previous value |
performance.is_rating_allowed | bool | if any video in a given period can be rated |
performance.is_comments_enabled | bool | if any video in a given period can be commented |
performance.similar | int | similar accounts value |
performance.mark | atring | quality mark |
videos_per_week
Attributes | Type | |
---|---|---|
performance.value | float | average number of videos per week in a given period |
performance.mark | string | quality mark |
comments_avg
Attributes | Type | |
---|---|---|
performance.value | float | average number of comments on videos in a given period |
performance.mark | string | quality mark |
likes_comments_ratio
Attributes | Type | |
---|---|---|
value | int | Likes comments ratio through all time activity |
performance.value | int | Likes comments ratio in a given period |
performance.value_prev | int | Likes comments ratio in a previous period |
performance.mark | int | Description of comparison with similar bloggers |
performance.similar | int | Likes comments ratio a in a given period of similar bloggers |
performance.similar_min | int | Min likes comments ratio in a given period of similar bloggers |
performance.similar_max | int | Max likes comments ratio in a given period of similar bloggers |
alikes_avg
Attributes | Type | |
---|---|---|
performance.value | float | average number of likes and dislikes on videos in a given period |
performance.mark | string | quality mark |
Mark:
- excellent
- good
- average
- fair
- poor
Features Object
audience_geo
Audience geo. If object is null that means no data available for channel.
Attributes | Type | |
---|---|---|
data | array | array of {title: string, prc: float} objects. Title is ISO Alpha-2 two letter country code. United Kingdom is uk |
audience_age_gender
Audience age gender distribution. If object is null that means no data available for channel.
Attributes | Type | |
---|---|---|
data | object | Dict of age objects. Each age object contains two genders (male and female ). |
Age objects are: 13-17
, 18-24
, 25-34
, 35-44
, 45-54
, 55-64
, 65+
audience_languages
Audience languages. If object is null that means no data available for channel.
Attributes | Type | |
---|---|---|
data | array | array of {title: string, prc: float} objects. Title is ISO 2 Letter Language Code. |
audience_races
Audience Ethnicity. If object is null that means no data available for channel.
Attributes | Type | |
---|---|---|
data | array | array of {group: string, prc: float} objects. Group is the name of ethnicity group. Ex. ‘caucasian’, ‘indian’, ‘hispanic’, ‘asian’, ‘african’, ‘arabian’ |
audience_sentiments
Attributes | Type | |
---|---|---|
data.sentiments.POSITIVE.count | int | count of positive comments |
data.sentiments.POSITIVE.prc | float | prc of positive comments |
data.sentiments.NEUTRAL.count | int | count of neutral comments |
data.sentiments.NEUTRAL.prc | float | prc of neutral comments |
data.sentiments.NEGATIVE.count | int | count of negative comments |
data.sentiments.NEGATIVE.prc | float | prc of negative comments |
data.score | int | final score |
data.comments_count | int | count of comments |
data.posts_count | int | count of posts |
blogger_languages
Blogger languages.
Attributes | Type | |
---|---|---|
data | array | array of [string] objects. ISO 2 Letter Language Code. |
video_integration_price
Video integration price.
Attributes | Type | |
---|---|---|
data | object | keys: price, price_from, price_to |
cqs
Channel Quality Score.
Attributes | Type | |
---|---|---|
data | object | keys: value, display_mark |
blogger_geo
Attributes | Type | |
---|---|---|
data.country | string | Two char country code |
blogger_emv
Attributes | Type | |
---|---|---|
data.emv | int | Forecasted EMV |
data.emv_from | int | EMV start interval |
data.emv_to | int | EMV finish interval |
data.emv_per_dollar | int | EMV per dollar |
data.emv_similar | int | EMV of similar bloggers |
data.emv_mark | int | mark description for EMV, ex. ‘poor’ |
Mark:
- excellent
- very_good
- good
- fair
- poor
blogger_rankings
Attributes | Type | |
---|---|---|
data.worldwide.rank | int | Position of the influencer in global top. |
data.worldwide.delta | int | |
data.country.country | int | Country object |
data.country.rank | int | Position of the influencer in countrytop. |
data.category.category | int | Country object |
data.category.country | int | Category object |
data.category.rank | int | Position of the influencer in category top. |
blogger_emails
Attributes | Type | |
---|---|---|
data | array | List of blogger emails |
blogger_prices
Attributes | Type | |
---|---|---|
data.post_price | int | Forecasted price of post |
data.post_price_from | int | Post price start interval |
data.post_price_to | int | Post price finish interval |
blogger_thematics
Attributes | Type | |
---|---|---|
data | array | List of ids blogger categories. List of available thematics: Taxonomy |
brand_safety
Is this blogger safe for brand, object like
Attributes | Type | |
---|---|---|
data.score | int | score based on criteria values from 0 to 9, 0 is safe blogger |
data.mark | string | Description of brand safety score |
data.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
most_media
Attributes | Type | |
---|---|---|
data.views_count_desc.performance.{time_period}.media_ids | int | Ids list of media with max views count in given period |
data.engagement_desc.performance.{time_period}.media_ids | int | Ids list of media with max engagement rate in given period |
data.time_added_desc.performance.{time_period}.media_ids | int | Ids list of last added media |
blogger_views_likes_chart
Each dot is a video. X coordinate is the number of views, while Y is the number of reactions. Use it to see how predictable the numbers of views and reactions are
Attributes | Type | |
---|---|---|
data.id | string | ID of video |
data.x | int | Number of views |
data.y | int | Number of reactions |
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 |
Metrics History Object
Contains videos_v30
, er
, subscribers_count
, and media_count
metrics history.
Attributes | Type | |
---|---|---|
videos_v30.history.time | int | Unix timestamp |
videos_v30.history.value | int | Last observed value of metric |
videos_v30.history.time_iso | date | Date in iso format |
er.history.value | float | Last observed value of metric |
er.history.time_iso | date | Date in iso format |
subscribers_count.value | int | Last observed value of metric |
subscribers_count.history.time | int | Unix timestamp |
subscribers_count.history.value | int | Observed value of metric for specific period |
subscribers_count.history.datetime | date | Date time |
subscribers_count.history.time_iso | date | Date in iso format |
media_count.value | int | Last observed value of metric |
media_count.history.time | int | Unix timestamp |
media_count.history.datetime | date | Date time |
media_count.history.time_iso | date | Date in iso format |
media_count.history.value | int | Observed value of metric for specific period |
Media Object
Contains array of youtube media (videos) objects.
Attributes | Type | |
---|---|---|
id | string | Identifier of video |
title | string | Video title |
description | string | Video description |
strict_reason | string | Restriction reason |
is_sctricted | boolean | Is this media restricted |
thumbnail | string | Thumbnail url |
time_added | int | Timestamp video added |
time_added_iso | date | Time video added in format iso |
metrics | array | array of {views_count: int, likes_count: int, dislikes_count: int, rating_value: float, length_sec: int, comments_count: int, engagement: int, er: object, views_performance: float, cpm: object} objects |
channel_ids | array | array of strings with channel ids |
Metrics
Object metrics
contains:
Attributes | Type | |
---|---|---|
views_count.value | int | Value of views for media object. |
likes_count.value | int | Value of likes for media object. |
dislikes_count.value | int | Value of dislikes for media object. |
rating_value.value | float | Value of rating value for media object. |
length_sec.value | int | Duration of media object in seconds. |
comments_count.value | int | Value of comments for media object. |
engagement.value | int | Engagement for media object. |
er.value | float | Value of Engagement Rate for media object. |
er.mark | string | Mark of Engagement Rate for media object. E.g.: average |
views_performance | float | Value of Views Performance for media object. |
cpm.value | float | Value of Cost per Mille for media object. |
cpm.value_from | float | Initial value of Cost per Mille for media object. |
cpm.value_to | float | Final value of Cost per Mille for media object. |
cpm.performance | string | Performance 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). Each period contains mark of CPM for media object. E.g.: poor |
Requests
Set YOUR_ID
and YOUR_TOKEN
from HypeAuditor.
curl -X POST \
https://hypeauditor.com/api/method/auditor.youtube \
-H 'content-type: application/x-www-form-urlencoded' \
-H 'x-auth-id: %YOUR_ID%' \
-H 'x-auth-token: %YOUR_TOKEN%' \
-d channel=UCLA_DiR1FfKNvjuUpBHmylQ \
<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => 'https://hypeauditor.com/api/method/auditor.youtube',
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS => [
'channel' => 'UCLA_DiR1FfKNvjuUpBHmylQ'
],
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;
}
Note:
You don’t need to pre-request the report from web, you can request it directly from API.
Sample request
GET https://hypeauditor.com/api/method/auditor.youtube/?channel=UCLA_DiR1FfKNvjuUpBHmylQ
Sample response
{
"result": {
"report": {
"basic": {
"id": "UCLA_DiR1FfKNvjuUpBHmylQ",
"username": "NASA",
"title": "NASA",
"avatar_url": "https://yt3.googleusercontent.com/2kw8s66dhLUegJ3XrqZSkZMfp77CRhCfYm1NurDwDB2L9sT_-CaoUix_iWjoE_t66b07JzoR=s900-c-k-c0x00ffffff-no-rj",
"description": "NASA's mission is to pioneer the future in space exploration, scientific discovery, and aeronautics research.\r\n\r\nTo do that, we have worked around the world—and off it—for more than 60 years, searching for answers to fundamental questions about our place in the universe. We're exploring space and discovering Earth. Join us on this exciting and important journey.\n",
"category_name": "Science & Technology",
"is_verified": true
},
"metrics": {
"subscribers_count": {
"value": 11454597,
"performance": {
"30d": {
"value": 100330,
"value_prev": 82947
},
"90d": {
"value": 260253,
"value_prev": 63831
},
"180d": {
"value": 328068,
"value_prev": 375558
},
"365d": {
"value": 707356,
"value_prev": 1329792
},
"all": {
"value": 10362226
}
}
},
"subscribers_growth_prc": {
"value": null,
"performance": {
"30d": {
"value": 0.88
},
"90d": {
"value": 2.32
},
"180d": {
"value": 2.95
},
"365d": {
"value": 6.58
}
}
},
"media_count": {
"value": 5715,
"performance": {
"30d": {
"value": 18,
"value_prev": 17
},
"90d": {
"value": 51,
"value_prev": 41
},
"180d": {
"value": 93,
"value_prev": 118
},
"all": {
"value": 3077
}
}
},
"views_count": {
"value": 965679228,
"performance": {
"30d": {
"value": 6706473,
"value_prev": 11906516
},
"90d": {
"value": 26489816,
"value_prev": 14901313
},
"180d": {
"value": 41391129,
"value_prev": 63290691
},
"all": {
"value": 903472430
}
}
},
"views_avg": {
"performance": {
"30d": {
"value": 74388,
"value_prev": 63180
},
"90d": {
"value": 73363,
"value_prev": 55396
},
"180d": {
"value": 63516,
"value_prev": 102933
},
"365d": {
"value": 77690,
"value_prev": 92513
},
"all": {
"value": 30883
}
}
},
"videos_v30": {
"value": 48223,
"performance": {
"30d": {
"value": null,
"value_prev": null
},
"90d": {
"value": null,
"value_prev": null
},
"180d": {
"value": null,
"value_prev": null
},
"365d": {
"value": null,
"value_prev": null
},
"all": null
}
},
"alikes_count": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0
},
"90d": {
"value": 0,
"value_prev": 0
},
"180d": {
"value": 0,
"value_prev": 0
},
"all": {
"value": 8452716
}
}
},
"likes_count": {
"performance": {
"30d": {
"value": 77060,
"value_prev": 86903
},
"90d": {
"value": 213271,
"value_prev": 215672
},
"180d": {
"value": 428943,
"value_prev": 1237836
},
"all": {
"value": 14380160
}
}
},
"dislikes_count": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0
},
"90d": {
"value": 0,
"value_prev": 0
},
"180d": {
"value": 0,
"value_prev": 0
},
"all": {
"value": 236630
}
}
},
"comments_count": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0
},
"90d": {
"value": 0,
"value_prev": 0
},
"180d": {
"value": 0,
"value_prev": 0
},
"all": {
"value": 359949
}
}
},
"video_views_count": {
"performance": {
"30d": {
"value": 2859655,
"value_prev": 3642002
},
"90d": {
"value": 8126886,
"value_prev": 10431783
},
"180d": {
"value": 18558669,
"value_prev": 43908256
},
"all": {
"value": 633192445
}
}
},
"video_views_avg": {
"performance": {
"30d": {
"value": 74388.5,
"value_prev": 63180.5
},
"90d": {
"value": 73363,
"value_prev": 55395.5
},
"180d": {
"value": 63516,
"value_prev": 102933
},
"all": {
"value": 30883
}
}
},
"comments_rate": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0,
"is_comments_enabled": true,
"mark": "none",
"is_reactions_allowed": true
},
"90d": {
"value": 0,
"value_prev": 0,
"is_comments_enabled": true,
"mark": "none",
"is_reactions_allowed": true
},
"180d": {
"value": 0,
"value_prev": 0,
"is_comments_enabled": true,
"mark": "none",
"is_reactions_allowed": true
},
"all": {
"value": 0,
"is_comments_enabled": true,
"mark": "none",
"is_reactions_allowed": true
}
}
},
"reactions_rate": {
"performance": {
"30d": {
"value": 30.124378,
"value_prev": 35.180236,
"is_comments_enabled": true,
"mark": "good",
"is_reactions_allowed": true
},
"90d": {
"value": 32.402435,
"value_prev": 38.500694,
"is_comments_enabled": true,
"mark": "good",
"is_reactions_allowed": true
},
"180d": {
"value": 36.420634,
"value_prev": 38.338778,
"is_comments_enabled": true,
"mark": "good",
"is_reactions_allowed": true
},
"all": {
"value": 23.644655,
"is_comments_enabled": true,
"mark": "good",
"is_reactions_allowed": true
}
}
},
"ltd_rate": null,
"videos_per_week": {
"performance": {
"30d": {
"value": 4,
"value_prev": 2,
"mark": "average"
},
"90d": {
"value": 3,
"value_prev": 1,
"mark": "average"
},
"180d": {
"value": 3,
"value_prev": 2,
"mark": "average"
},
"all": {
"value": 5,
"mark": "average"
}
}
},
"comments_avg": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0,
"mark": null
},
"90d": {
"value": 0,
"value_prev": 0,
"mark": null
},
"180d": {
"value": 0,
"value_prev": 0,
"mark": null
},
"all": {
"value": 0,
"mark": null
}
}
},
"alikes_avg": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0,
"mark": null
},
"90d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true
},
"180d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true
},
"all": {
"value": 3047,
"mark": null
}
}
},
"likes_comments_ratio": {
"performance": {
"7d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true,
"similar": 1.116646,
"mark": "none"
},
"30d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true,
"similar": 3.830584,
"mark": "none"
},
"90d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true,
"similar": 5.244269,
"mark": "none"
},
"180d": {
"value": 0,
"value_prev": 0,
"is_rating_allowed": true,
"is_comments_enabled": true,
"similar": 5.403592,
"mark": "none"
},
"365d": {
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