HypeAuditor For Twitter
Endpoint
Get the report of a Twitter channel:
GET https://hypeauditor.com/api/method/auditor.twitter/?channel={channel}
Channel is Twitter username (nasa) from the url of Twitter channel (https://twitter.com/nasa).
Returns the report if it’s ready or requests the report if it’s not ready.
Note:
nasareport is free, use it to test the API.- 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.- 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.
Changelog
Important:
- The object
erhas modified on 09/02/2024.- 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
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.
Error codes
You will receive error if requested channel is not found, has no videos or no views.
CHANNEL_NOT_FOUNDchannel not found on Twitter
Response Object
| Attributes | Type | |
|---|---|---|
| report_state | string | Twitter report state |
| report | object | Twitter 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 |
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
| Attributes | Type | |
|---|---|---|
| id | string | channel id |
| username | string | channel username |
| title | string | channel title |
| avatar_url | string | channel avatar url |
| description | string | channel description |
Metrics Object
Each metrics objects may contain value field and performance object. Performance object can contain 4 periods of data (30d for 30 day data, 90d for 90, 180d for 180 and 365d for 364). 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.
subscribers_count
| Attributes | Type | |
|---|---|---|
| value | int | Number of total subscribers |
| performance.value | int | number of new subscribers in a given period |
following_count
| Attributes | Type | |
|---|---|---|
| value | int | Number of other accounts influencer following |
| performance.value | int | Number of new accounts, influencer following in a given period |
subscribers_growth_prc
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
| performance.mark | string | quality mark |
| performance.similar | float | value for similar accounts in a given period |
Marks:
poorfairaveragegoodexcellent
media_count
| Attributes | Type | |
|---|---|---|
| performance.value | int | value in a given period |
media_per_week
| Attributes | Type | |
|---|---|---|
| performance.value | int | value in a given period |
retweet_count
| Attributes | Type | |
|---|---|---|
| value | float | last observed value |
| performance.value | float | value in a given period |
retweet_avg
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
favorite_count
| Attributes | Type | |
|---|---|---|
| value | float | last observed value |
| performance.value | float | value in a given period |
favorite_avg
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
reply_count
| Attributes | Type | |
|---|---|---|
| value | float | last observed value |
| performance.value | float | value in a given period |
reply_avg
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
er
Engagement Rate is calculated by the total number of received likes, replies and retweets divided by the total number of followers during the analyzed period.
IMPORTANT
value_prevhas been included since 09/02/2024.
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
| performance.value_prev | float | previous value in a given period |
quoted_retweet_rate
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
tweets_with_links_prc
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
tweets_with_media_prc
| Attributes | Type | |
|---|---|---|
| performance.value | float | value in a given period |
tweets_number
| Attributes | Type | |
|---|---|---|
| performance.value | int | value in a given period |
| performance.value_prev | int | previous value in a given period |
| performance.mark | string | quality mark in a given period |
| performance.mark_title | string | quality tittle for mark in a given period |
| value | int | last value observed |
| value_prev | int | previous value observed |
| mark | string | quality mark |
| mark_title | string | quality tittle for mark |
| similar | int | value for similar accounts |
Features Object
most_media
Lists of most (in some parameters) media ids. Each object contains performance object for given periods
| Attributes | Type | |
|---|---|---|
| data.most_retweet_count | object with array of media_ids | Media IDs sorted by most retweet count |
| data.most_favorite_count | object with array of media_ids | Media IDs sorted by most favorite count |
| data.most_reply_count | object with array of media_ids | Media IDs sorted by most reply count |
| data.most_posted_desc | object with array of media_ids | Media IDs sorted by most posted descendent |
| data.media.{media_id} | object | {basic: object, metrics: object, features: object} |
| data.media.{media_id}.basic.id | string | Media ID |
| data.media.{media_id}.basic.tittle | string | Media Title |
| data.media.{media_id}.basic.conversation_id | string | Conversation ID |
| data.media.{media_id}.basic.retweeted_id_str | string | Retweeted ID |
| data.media.{media_id}.basic.in_reply_to_status_id_str | string | In reply to status ID |
| data.media.{media_id}.basic.language | string | Language in 2 char format |
| data.media.{media_id}.basic.time_iso | string | time in iso format |
| data.media.{media_id}.basic.time_timestamp | int | Unix stamp time |
| data.media.{media_id}.basic.time | string | time |
| data.media.{media_id}.metrics.retweet_count | int | Retweet count |
| data.media.{media_id}.metrics.favorite_count | int | Favorite count |
| data.media.{media_id}.metrics.reply_count | int | Reply count |
| data.media.{media_id}.metrics.quote_count | int | Quote count |
| data.media.{media_id}.features.links | array | URLs |
| data.media.{media_id}.features.types | object | {is_retweet: boolean, is_quoted: boolean, is_links: boolean, is_media: boolean, is_reply: boolean, is_tweet: boolean} |
| data.media.{media_id}.features.hashtags | array of strings | Hashtags |
| data.media.{media_id}.features.mentions | array of strings | Mentions |
blogger_emails
List of blogger contact emails
| Attributes | Type | |
|---|---|---|
| data | array | array of emails. |
blogger_geo
Blogger geo if available
| Attributes | Type | |
|---|---|---|
| data.country | string | ISO Alpha-2 two letter country code. |
| data.city | int | city id from https://www.geonames.org |
| data.state | int | state id from https://www.geonames.org |
blogger_languages
| Attributes | Type | |
|---|---|---|
| data | array | array of 2 letter lang codes |
blogger_mentions
Mentions object contains performance object for given periods
| Attributes | Type | |
|---|---|---|
| data.mentions.performance.{period}.summary.all.er | float | Mentions Engagement Rate |
| data.mentions.performance.{period}.summary.all.posts_count | int | Mentions Posts Count |
| data.mentions.performance.{period}.summary.all.bloggers_count | int | Mentions Bloggers Count |
| data.mentions.performance.{period}.summary.all.posts_per_week | int | Mentions Posts per Week |
blogger_hashtags
blogger_hashtags object contains performance object for given periods
| Attributes | Type | |
|---|---|---|
| data.performance.{period} | array | array of hashtag objects {text: string, media_count: int, er_avg: float} |
social_networks
| Attributes | Type | |
|---|---|---|
| data | array | array of {type: int, id: string} objects. |
Social networks ids map:
| Id | Social network |
|---|---|
| 1 | |
| 2 | YouTube |
| 3 | TikTok |
| 4 | Twitch |
| 5 | |
| 7 | Snapchat |
Requests
Set YOUR_ID and YOUR_TOKEN from HypeAuditor.
curl -X POST \
https://hypeauditor.com/api/method/auditor.twitter \
-H 'content-type: application/x-www-form-urlencoded' \
-H 'x-auth-id: %YOUR_ID%' \
-H 'x-auth-token: %YOUR_TOKEN%' \
-d channel=nasa \
<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => 'https://hypeauditor.com/api/method/auditor.twitter',
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS => [
'channel' => 'nasa'
],
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.twitter/?channel=nasa
Sample response
{
"result": {
"report_state": "READY",
"report": {
"basic": {
"id": "11348282",
"username": "nasa",
"title": "NASA",
"avatar_url": "https://pbs.twimg.com/profile_images/1321163587679784960/0ZxKlEKB_400x400.jpg",
"description": "There's space for everybody. ✨\n\nVerification: https://t.co/8nok3NP4PW"
},
"metrics": {
"subscribers_count": {
"value": 85343176,
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"following_count": {
"value": 171,
"performance": null
},
"subscribers_growth_prc": {
"performance": {
"30d": {
"value": 0,
"mark": "none",
"similar": 0
},
"90d": {
"value": 0,
"mark": "none",
"similar": 0
},
"180d": {
"value": 0,
"mark": "none",
"similar": 0
}
}
},
"media_count": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"media_per_week": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"retweet_count": {
"value": null,
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"retweet_avg": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"favorite_count": {
"value": null,
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"favorite_avg": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"reply_count": {
"value": null,
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"reply_avg": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"er": {
"performance": {
"30d": {
"value": 0,
"value_prev": 0
},
"90d": {
"value": 0,
"value_prev": 0
},
"180d": {
"value": 0,
"value_prev": 1.0e-6
}
}
},
"quoted_retweet_rate": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"tweets_with_links_prc": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"tweets_with_media_prc": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"tweets_number": {
"performance": {
"7d": {
"value": 0,
"value_prev": 0,
"mark": "average",
"mark_title": "AVERAGE"
},
"30d": {
"value": 0,
"value_prev": 0,
"mark": "average",
"mark_title": "AVERAGE"
},
"90d": {
"value": 0,
"value_prev": 0,
"mark": "average",
"mark_title": "AVERAGE"
},
"180d": {
"value": 0,
"value_prev": 12,
"mark": "average",
"mark_title": "AVERAGE"
},
"365d": {
"value": 12,
"value_prev": 362,
"mark": "average",
"mark_title": "AVERAGE"
}
},
"value": 374,
"value_prev": null,
"mark": "poor",
"mark_title": "LOW",
"similar": 0
}
},
"features": {
"most_media": {
"data": {
"most_retweet_count": {
"performance": {
"7d": {
"media_ids": []
},
"30d": {
"media_ids": []
},
"90d": {
"media_ids": []
},
"180d": {
"media_ids": []
},
"365d": {
"media_ids": [
"1894139589763186772",
"1892364497790124093",
"1895136057105998119",
"1890463773044945212",
"1891955605729865760",
"1892964832527167670",
"1894840654506627485",
"1894863223637041293"
]
}
}
},
"most_favorite_count": {
"performance": {
"7d": {
"media_ids": []
},
"30d": {
"media_ids": []
},
"90d": {
"media_ids": []
},
"180d": {
"media_ids": []
},
"365d": {
"media_ids": [
"1894139589763186772",
"1892364497790124093",
"1890463773044945212",
"1891955605729865760",
"1892964832527167670",
"1892250430152794445",
"1894840654506627485",
"1894863223637041293"
]
}
}
},
"most_reply_count": {
"performance": {
"7d": {
"media_ids": []
},
"30d": {
"media_ids": []
},
"90d": {
"media_ids": []
},
"180d": {
"media_ids": []
},
"365d": {
"media_ids": [
"1894139589763186772",
"1894417737117548852",
"1892364497790124093",
"1891955605729865760",
"1894840654506627485",
"1892964832527167670",
"1892250430152794445",
"1893059079376884018"
]
}
}
},
"time_posted_desc": {
"performance": {
"7d": {
"media_ids": []
},
"30d": {
"media_ids": []
},
"90d": {
"media_ids": []
},
"180d": {
"media_ids": []
},
"365d": {
"media_ids": [
"1895136057105998119",
"1895123642746286504",
"1894977672402333829",
"1894863223637041293",
"1894840654506627485",
"1894463865179504941",
"1894417737117548852",
"1894139589763186772"
]
}
}
},
"media": {
"1886821032096338166": {
"basic": {
"id": "1886821032096338166",
"title": "RT @NASAArtemis: NASA is seeking U.S. proposals for a public/private partnership to land and operate the VIPER rover mission on the Moon.…",
"conversation_id": "1886821032096338166",
"retweeted_id_str": "1886782102252740775",
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2025-02-04T16:56:04",
"time_timestamp": 1738688164,
"time": "2025-02-04T16:56:04",
"urls": [],
"social_type": "tr"
},
"metrics": {
"retweet_count": 348,
"favorite_count": 0,
"reply_count": 0,
"quote_count": 0
},
"features": {
"links": [],
"types": {
"is_retweet": true,
"is_quoted": false,
"is_links": false,
"is_media": false,
"is_reply": false,
"is_tweet": false
},
"hashtags": [],
"mentions": [
"NASAArtemis"
]
}
},
"1894840654506627485": {
"basic": {
"id": "1894840654506627485",
"title": "LIVE: Get ready for the next moonshot with @Int_Machines Mission-2 updates from the team, @SpaceX, and @SpaceForceDOD. https://t.co/NPFo0onKDu https://t.co/OxC6mLCgze",
"conversation_id": "1894840654506627485",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2025-02-26T20:03:11",
"time_timestamp": 1740600191,
"time": "2025-02-26T20:03:11",
"urls": [
{
"displayurl": "youtu.be/oRrr5ARF1po",
"expandedurl": "https://youtu.be/oRrr5ARF1po",
"url": "https://t.co/NPFo0onKDu"
}
],
"social_type": "tr"
},
"metrics": {
"retweet_count": 888,
"favorite_count": 4360,
"reply_count": 479,
"quote_count": 44
},
"features": {
"links": [
"https://t.co/NPFo0onKDu"
],
"types": {
"is_retweet": false,
"is_quoted": false,
"is_links": true,
"is_media": false,
"is_reply": false,
"is_tweet": true
},
"hashtags": [],
"mentions": [
"Int_Machines",
"SpaceForceDOD",
"SpaceX",
"SpaceForceDoD"
]
}
},
"1890507414358659170": {
"basic": {
"id": "1890507414358659170",
"title": "RT @NASAArtemis: We love you, Moon. \n\nAfter about a month in transit to the Moon, @Firefly_Space’s Blue Ghost lunar lander successfully com…",
"conversation_id": "1890507414358659170",
"retweeted_id_str": "1890485183477907518",
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2025-02-14T21:04:26",
"time_timestamp": 1739567066,
"time": "2025-02-14T21:04:26",
"urls": [],
"social_type": "tr"
},
"metrics": {
"retweet_count": 545,
"favorite_count": 0,
"reply_count": 0,
"quote_count": 0
},
"features": {
"links": [],
"types": {
"is_retweet": true,
"is_quoted": false,
"is_links": false,
"is_media": false,
"is_reply": false,
"is_tweet": false
},
"hashtags": [],
"mentions": [
"Firefly_Space",
"NASAArtemis"
]
}
},
"1825640134634573900": {
"basic": {
"id": "1825640134634573900",
"title": "Tonight (Aug. 19) through Wednesday, look up to see a full moon that is both:\n \nA supermoon—when the Moon is within 90% of its closest approach to Earth\nA blue moon—which doesn't necessarily mean the Moon will look blue.\n \nWhat *does* it mean? Read on: https://t.co/ByNDVSbRr0 https://t.co/Hu1UXWxRN3",
"conversation_id": "1825640134634573900",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2024-08-19T21:05:01",
"time_timestamp": 1724101501,
"time": "2024-08-19T21:05:01",
"urls": [
{
"displayurl": "go.nasa.gov/4fOuMHf",
"expandedurl": "https://go.nasa.gov/4fOuMHf",
"url": "https://t.co/ByNDVSbRr0"
}
],
"social_type": "tr"
},
"metrics": {
"retweet_count": 5667,
"favorite_count": 23889,
"reply_count": 1108,
"quote_count": 871
},
"features": {
"links": [
"https://t.co/ByNDVSbRr0"
],
"types": {
"is_retweet": false,
"is_quoted": false,
"is_links": true,
"is_media": false,
"is_reply": false,
"is_tweet": true
},
"hashtags": [],
"mentions": []
}
},
"1892364497790124093": {
"basic": {
"id": "1892364497790124093",
"title": "New observations of asteroid 2024 YR4 helped us update its chance of impact in 2032. The current probability is 1.5%.\n\nOur understanding of the asteroid's path improves with every observation. We'll keep you posted. https://t.co/LuRwg1eaCv https://t.co/SfZIxflB95",
"conversation_id": "1892364497790124093",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2025-02-20T00:03:49",
"time_timestamp": 1740009829,
"time": "2025-02-20T00:03:49",
"urls": [
{
"displayurl": "go.nasa.gov/3I0ZA7K",
"expandedurl": "http://go.nasa.gov/3I0ZA7K",
"url": "https://t.co/LuRwg1eaCv"
}
],
"social_type": "tr"
},
"metrics": {
"retweet_count": 1812,
"favorite_count": 10077,
"reply_count": 790,
"quote_count": 466
},
"features": {
"links": [
"https://t.co/LuRwg1eaCv"
],
"types": {
"is_retweet": false,
"is_quoted": false,
"is_links": true,
"is_media": false,
"is_reply": false,
"is_tweet": true
},
"hashtags": [],
"mentions": []
}
},
"1781068357959037419": {
"basic": {
"id": "1781068357959037419",
"title": "It’s okay if you don’t feel sparkly today. It's cool if you're not feeling it. Step back for a bit. There’s just one problem.\n\nYou already sparkle. Maybe you don’t see it, but others do. You belong, just like every star in this star cluster belongs. https://t.co/PCQKEDOn68",
"conversation_id": "1781068357959037419",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2024-04-18T21:12:41",
"time_timestamp": 1713474761,
"time": "2024-04-18T21:12:41",
"urls": [
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