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. First check of the username costs 1 credit and the report will be accessible for 1 year. Note: Next check after 365 days will also cost 1 credit.
Note:
nasareport is free, use it to test the API.
Changelog
Important:
- The object
erhas modified on 09/02/2024.
Error codes
You will receive error if requested channel is not found, has no videos or no views.
CHANNEL_NOT_FOUNDchannel not found on TwitterREPORT_CALCULATINGcome back later
Response Object
| Attributes | Type | |
|---|---|---|
| report | object | Twitter report data |
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 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 |
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": {
"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. ✨"
},
"metrics": {
"subscribers_count": {
"value": 60959503,
"performance": {
"30d": {
"value": 343781
},
"90d": {
"value": 3714648
},
"180d": {
"value": 8187992
}
}
},
"following_count": {
"value": 181,
"performance": null
},
"subscribers_growth_prc": {
"performance": {
"30d": {
"value": 0.57,
"mark": "excellent",
"similar": 0.000921
},
"90d": {
"value": 6.49,
"mark": "excellent",
"similar": 0.020104
},
"180d": {
"value": 15.52,
"mark": "excellent",
"similar": 1.127491
}
}
},
"media_count": {
"performance": {
"30d": {
"value": 83
},
"90d": {
"value": 83
},
"180d": {
"value": 171
}
}
},
"media_per_week": {
"performance": {
"30d": {
"value": 17
},
"90d": {
"value": 5
},
"180d": {
"value": 5
}
}
},
"retweet_count": {
"value": null,
"performance": {
"30d": {
"value": 78468
},
"90d": {
"value": 78468
},
"180d": {
"value": 129668
}
}
},
"retweet_avg": {
"performance": {
"30d": {
"value": 398
},
"90d": {
"value": 398
},
"180d": {
"value": 378
}
}
},
"favorite_count": {
"value": null,
"performance": {
"30d": {
"value": 400301
},
"90d": {
"value": 400301
},
"180d": {
"value": 743523
}
}
},
"favorite_avg": {
"performance": {
"30d": {
"value": 2845
},
"90d": {
"value": 2845
},
"180d": {
"value": 2592
}
}
},
"reply_count": {
"value": null,
"performance": {
"30d": {
"value": 9292
},
"90d": {
"value": 9292
},
"180d": {
"value": 21544
}
}
},
"reply_avg": {
"performance": {
"30d": {
"value": 88
},
"90d": {
"value": 88
},
"180d": {
"value": 78
}
}
},
"er": {
"performance": {
"30d": {
"value": 0.003888,
"value_prev": 0.004704
},
"90d": {
"value": 0.004361,
"value_prev": 0.003765
},
"180d": {
"value": 0.004295,
"value_prev": 0.006596
}
},
"quoted_retweet_rate": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"tweets_with_links_prc": {
"performance": {
"30d": {
"value": 86.75
},
"90d": {
"value": 86.75
},
"180d": {
"value": 82.46
}
}
},
"tweets_with_media_prc": {
"performance": {
"30d": {
"value": 0
},
"90d": {
"value": 0
},
"180d": {
"value": 0
}
}
},
"tweets_number": {
"performance": {
"7d": {
"value": 38,
"value_prev": 17,
"mark": "average",
"mark_title": "AVERAGE"
},
"30d": {
"value": 77,
"value_prev": 0,
"mark": "average",
"mark_title": "AVERAGE"
},
"90d": {
"value": 77,
"value_prev": 86,
"mark": "average",
"mark_title": "AVERAGE"
},
"180d": {
"value": 163,
"value_prev": 1046,
"mark": "average",
"mark_title": "AVERAGE"
},
"365d": {
"value": 1209,
"value_prev": 1881,
"mark": "average",
"mark_title": "AVERAGE"
},
"all": {
"value": 3737,
"value_prev": 0,
"mark": "average",
"mark_title": "AVERAGE"
}
},
"value": 77,
"value_prev": 0,
"mark": "excellent",
"mark_title": "EXCELLENT",
"similar": 50
}
},
"features": {
"most_media": {
"data": {
"most_retweet_count": {
"performance": {
"7d": {
"media_ids": [
"1555933192623988741",
"1558833577197985796",
"1556292186211319809",
"1555253662536048642",
"1559169555049709568",
"1555555221882953728",
"1558903404692381698",
"1557806316365795328"
]
},
"30d": {
"media_ids": [
"1553843225588285440",
"1549099315817095168",
"1554470232655265792",
"1549794740174049283",
"1549799035158106113",
"1555933192623988741",
"1558833577197985796",
"1556292186211319809"
]
},
"90d": {
"media_ids": [
"1553843225588285440",
"1549099315817095168",
"1554470232655265792",
"1549794740174049283",
"1549799035158106113",
"1555933192623988741",
"1558833577197985796",
"1556292186211319809"
]
},
"180d": {
"media_ids": [
"1553843225588285440",
"1549099315817095168",
"1522287741312114689",
"1518907917902262273",
"1554470232655265792",
"1549794740174049283",
"1522425847503798278",
"1549799035158106113"
]
},
"365d": {
"media_ids": [
"1553843225588285440",
"1474724928360525827",
"1474754154992181249",
"1479920083992518662",
"1474717083883778057",
"1485695318524059648",
"1477066400824971264",
"1549099315817095168"
]
},
"all": {
"media_ids": [
"1071818572056403970",
"973787392590172160",
"834466377201307652",
"958648989313675265",
"1275481438805274626",
"1266812660374528001",
"1231954422785363968",
"1267144838153211905"
]
}
}
},
"most_favorite_count": {
"performance": {
"7d": {
"media_ids": [
"1558833577197985796",
"1555933192623988741",
"1556292186211319809",
"1558903404692381698",
"1557415562682277891",
"1557806316365795328",
"1557775325823733761",
"1559255579981398016"
]
},
"30d": {
"media_ids": [
"1553843225588285440",
"1554470232655265792",
"1549099315817095168",
"1549794740174049283",
"1558833577197985796",
"1555933192623988741",
"1556292186211319809",
"1552750698114187269"
]
},
"90d": {
"media_ids": [
"1553843225588285440",
"1554470232655265792",
"1549099315817095168",
"1549794740174049283",
"1558833577197985796",
"1555933192623988741",
"1556292186211319809",
"1552750698114187269"
]
},
"180d": {
"media_ids": [
"1553843225588285440",
"1518907917902262273",
"1522425847503798278",
"1522287741312114689",
"1554470232655265792",
"1549099315817095168",
"1549794740174049283",
"1558833577197985796"
]
},
"365d": {
"media_ids": [
"1474754154992181249",
"1553843225588285440",
"1474724928360525827",
"1518907917902262273",
"1474717083883778057",
"1448271725909708805",
"1458970736031379456",
"1473237438235652099"
]
},
"all": {
"media_ids": [
"1071818572056403970",
"1362507074807205909",
"973787392590172160",
"1267144838153211905",
"1266812660374528001",
"1170385925077131264",
"1257458740938387463",
"1231954422785363968"
]
}
}
},
"most_reply_count": {
"performance": {
"7d": {
"media_ids": [
"1556292186211319809",
"1555555221882953728",
"1558833577197985796",
"1555933192623988741",
"1558606815180591105",
"1557806316365795328",
"1557775325823733761",
"1558903404692381698"
]
},
"30d": {
"media_ids": [
"1549099315817095168",
"1553843225588285440",
"1549794740174049283",
"1550890635435151361",
"1554470232655265792",
"1556292186211319809",
"1552750698114187269",
"1555555221882953728"
]
},
"90d": {
"media_ids": [
"1549099315817095168",
"1553843225588285440",
"1549794740174049283",
"1550890635435151361",
"1554470232655265792",
"1556292186211319809",
"1552750698114187269",
"1555555221882953728"
]
},
"180d": {
"media_ids": [
"1518907917902262273",
"1522425847503798278",
"1522287741312114689",
"1549099315817095168",
"1553843225588285440",
"1549794740174049283",
"1550890635435151361",
"1519683470779428867"
]
},
"365d": {
"media_ids": [
"1458970736031379456",
"1473237438235652099",
"1518907917902262273",
"1522425847503798278",
"1457795352082460672",
"1474754154992181249",
"1431408193637437442",
"1474724928360525827"
]
},
"all": {
"media_ids": [
"1185239556661993472",
"1071818572056403970",
"1362507074807205909",
"1265724481009594369",
"1275481438805274626",
"1170385925077131264",
"1362428161577877509",
"1265679515193409541"
]
}
}
},
"time_posted_desc": {
"performance": {
"7d": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
},
"30d": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
},
"90d": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
},
"180d": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
},
"365d": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
},
"all": {
"media_ids": [
"1559284601012555776",
"1559272815253151744",
"1559255579981398016",
"1559248313139986433",
"1559169555049709568",
"1558903404692381698",
"1558833577197985796",
"1558606815180591105"
]
}
}
},
"media": {
"1559169555049709568": {
"basic": {
"id": "1559169555049709568",
"title": "RT @NASAGroundSys: ARTEMIS I UPDATE: The rollout of @NASA_SLS & @NASA_Orion to Launch Pad 39B has now moved up to tomorrow, the evening of…",
"conversation_id": "1559169555049709568",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2022-08-15T13:26:04",
"time_timestamp": 1660562764,
"time": "2022-08-15T13:26:04"
},
"metrics": {
"retweet_count": 936,
"favorite_count": 0,
"reply_count": 0,
"quote_count": 0
},
"features": {
"links": [],
"types": {
"is_retweet": false,
"is_quoted": false,
"is_links": false,
"is_media": false,
"is_reply": false,
"is_tweet": true
},
"hashtags": [],
"mentions": [
"NASA_SLS",
"NASA_Orion",
"NASAGroundSys"
]
}
},
"1558450123490869248": {
"basic": {
"id": "1558450123490869248",
"title": "This week at NASA, we're counting down to our #Artemis I Moon mission and taking a high-def look at Earth from the @Space_Station.\n\nCheck out the latest highlights—then sign up to be on the virtual guest list for @NASAArtemis and other upcoming launches: https://t.co/lfCfbDhfX5 https://t.co/AELnVwVNxz",
"conversation_id": "1558450123490869248",
"retweeted_id_str": null,
"quoted_status_id_str": null,
"in_reply_to_status_id_str": null,
"language": "en",
"time_iso": "2022-08-13T13:47:18",
"time_timestamp": 1660391238,
"time": "2022-08-13T13:47:18"
},
"metrics": {
"retweet_count": 454,
"favorite_count": 3118,
"reply_count": 88,
"quote_count": 22
},
"features": {
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