Unlimited Twitter (X.com) Scraper: Pull Twitter Data Without Volume Limits

Unlimited Twitter scraper that pulls tweets and their metadata. No volume limits. Get the raw data straight from Twitter's API, flattened and normalized for easy consumption. This includes author profiles, engagement metrics like views and likes, and all attached media URLs.

Use cases

• Social media monitoring: track brand mentions and engagement metrics across thousands of tweets
• Academic research: gather massive datasets of public discourse without dealing with API restrictions
• Competitor analysis: scrape competing accounts to uncover their most successful content and engagement strategies
• Sentiment analysis training: collect text data and engagement signals to train or fine-tune machine learning models

Input

Parameter	Type	Default	Description
tweetIds	array	[]	List of Twitter (X.com) Tweet IDs to scrape.

Example input

{
    "tweetIds": [
        "2032718234198368620",
        "896523232098078720",
        "440322224407314432",
        "1299532822763261952",
        "1137938366471442432",
        "1351586544978329606",
        "1445078208190291973",
        "1351174624387284992",
        "1759685652516626607",
        "1725547617634353272"
    ]
}

Output

The actor stores results in a dataset. Each entry contains normalized tweet data.

{
  "tweetId": "2032718234198368620",
  "url": "https://x.com/kawsarlog/status/2032718234198368620",
  "text": "Social media managers are not the only ones using AI...",
  "createdAt": "2026-03-14T07:19:27.000Z",
  "authorName": "Kawsar",
  "authorUsername": "kawsarlog",
  "authorId": "1090656678423359488",
  "authorProfileImage": "https://pbs.twimg.com/profile_images/.../rT7rHQWM_normal.jpg",
  "authorIsVerified": true,
  "likes": 1,
  "retweets": 0,
  "quotes": 0,
  "replies": 1,
  "language": "en",
  "isSensitive": false,
  "hashtags": [],
  "externalUrls": [
    "https://t.co/8RnIz7FGRj"
  ],
  "mediaUrls": [
    "https://pbs.twimg.com/media/HDWoV0mbMAEshAS.jpg"
  ],
  "scrapedAt": "2026-03-14T11:29:05.123456+00:00"
}

How it works

1. Reads the list of tweetIds from the input configuration.
2. Iteratively extracts data for each Tweet ID.
3. Cleans up and normalizes the deeply nested raw JSON response into a flat structure.
4. Pushes the cleaned data into the Apify dataset.

FAQ

Can this actor check links or scrape profiles directly? No, this actor specifically scrapes individual tweet data based on their unique Tweet IDs.

How many tweets can it process per run? There are no hard limits built into the actor. It can process as many Tweet IDs as you provide.

Does it require a Twitter account or API keys? No, it completely bypasses the need for official API keys or user session authentication.

Integrations

Connect Unlimited Twitter (X.com) Scraper with other apps and services using Apify integrations. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and many more. You can also use webhooks to trigger actions whenever results are available.