Twitter User Replies

Get replies posted by a specific Twitter/X user. Returns the content of each reply along with engagement metrics. Supports pagination.

Endpoint

GET /v1/twitter/user/replies

Price: $0.006 per page Free tier: 50 requests/month

Parameters

Parameter	Required	Description
`username`	Yes	Twitter username (without @, max 50 characters)
`pages`	No	Number of pages to fetch, 1-10 (default: 1)
`get_sentiment`	No	Set to `true` to add AI emotion analysis (Plutchik’s Wheel) to each result. Adds +$0.001 per page to the cost. Returns emotion scores, dominant emotion, intensity, and polarity.

Response Fields

Field	Type	Description
`replies`	array	Array of replies by the user
`replies[].title`	string	Tweet title (format: `@username on X`)
`replies[].url`	string	Direct link to the reply
`replies[].date`	string	Publication date and time
`replies[].author`	string	Twitter username
`replies[].source`	string	`"Twitter (X)"`
`replies[].domain`	string	`"x.com"`
`replies[].snippet`	string	Reply content text
`replies[].likes`	integer	Number of likes
`replies[].retweets`	integer	Number of retweets
`replies[].replies`	integer	Number of replies to this reply
`replies[].quotes`	integer	Number of quote tweets
`replies[].bookmarks`	integer	Number of bookmarks
`replies[].views`	integer/null	Number of views
`replies[].author_followers`	integer	Author’s follower count
`replies[].author_verified`	boolean	Whether the author is verified
`replies[].lang`	string	Tweet language code
`replies[].is_reply`	boolean	`true` (all entries are replies)
`replies[].is_quote`	boolean	Whether the reply is also a quote tweet
`replies[].hashtags`	string[]	Hashtags used
`replies[].user_mentions`	string[]	Usernames mentioned
`replies[].sentiment`	object/null	Emotion analysis results. Only present when `get_sentiment=true`. Returns `null` if analysis fails.
`replies[].sentiment.emotions`	object	Plutchik emotion scores (0-100) for: `joy`, `trust`, `fear`, `surprise`, `sadness`, `disgust`, `anger`, `anticipation`.
`replies[].sentiment.dominant_emotion`	string	The emotion with the highest score.
`replies[].sentiment.emotional_intensity`	integer	Overall emotional intensity on a scale of 0-10.
`replies[].sentiment.polarity`	string	Overall sentiment polarity: `positive`, `negative`, or `neutral`.
`username`	string	Requested username
`pages`	integer	Number of pages fetched
`count`	integer	Total results returned

Example Request

cURL

curl "https://apidirect.io/v1/twitter/user/replies?username=elonmusk&pages=1" \
  -H "X-API-Key: YOUR_API_KEY"

Python

import requests

response = requests.get(
    "https://apidirect.io/v1/twitter/user/replies",
    headers={"X-API-Key": "YOUR_API_KEY"},
    params={"username": "elonmusk", "pages": 1}
)
print(response.json())

Example Response

{
  "replies": [
    {
      "title": "@elonmusk on X",
      "url": "https://twitter.com/elonmusk/status/...",
      "date": "2024-03-01 15:20:00",
      "author": "elonmusk",
      "source": "Twitter (X)",
      "domain": "x.com",
      "snippet": "@user Indeed, that is correct",
      "likes": 5000,
      "retweets": 200,
      "replies": 300,
      "quotes": 50,
      "bookmarks": 100,
      "views": 500000,
      "author_followers": 235918920,
      "author_verified": true,
      "lang": "en",
      "is_reply": true,
      "is_quote": false,
      "hashtags": [],
      "user_mentions": ["user"],
      "sentiment": {
        "emotions": {
          "joy": 40,
          "trust": 55,
          "fear": 0,
          "surprise": 10,
          "sadness": 0,
          "disgust": 0,
          "anger": 0,
          "anticipation": 30
        },
        "dominant_emotion": "trust",
        "emotional_intensity": 5,
        "polarity": "positive"
      }
    }
  ],
  "username": "elonmusk",
  "pages": 1,
  "count": 20
}