Twitter/X Scraper

Overview

The Twitter/X Scraper by Apidojo is an advanced data extraction tool that completely bypasses the restrictive and expensive official Twitter API. It allows researchers, marketers, and brands to conduct comprehensive social listening by scraping tweets, retweets, replies, user profiles, and granular engagement statistics. Whether you need to monitor brand mentions in real-time, track the viral spread of specific hashtags, or analyze competitor social media strategies, this scraper delivers high-quality JSON or CSV data. It natively supports advanced Twitter search operators (like `from:`, `since:`, `until:`, `min_faves:`), giving you pinpoint accuracy in your data collection without logging in.

Key Features

Input Parameters

Sample Output

{
  "type": "tweet",
  "id": "175000123456789",
  "url": "https://twitter.com/elonmusk/status/175000123456789",
  "twitterUrl": "https://twitter.com/elonmusk/status/175000123456789",
  "text": "Excited to announce the new update! 🚀",
  "retweetCount": 12500,
  "replyCount": 3420,
  "likeCount": 85000,
  "quoteCount": 1100,
  "createdAt": "Thu Jan 25 10:30:00 +0000 2026",
  "lang": "en",
  "bookmarkCount": 4500,
  "author": {
    "type": "user",
    "userName": "elonmusk",
    "url": "https://twitter.com/elonmusk",
    "name": "Elon Musk",
    "followers": 165000000
  }
}

How to Use

1. 1

   Click the 'Try for Free' button to access the Twitter Scraper on Apify.

2. 2

   Log in to your Apify account or create a new one for free.

3. 3

   Enter your target keywords, hashtags, or specific Twitter usernames.

4. 4

   Adjust the maximum items limit and date ranges if needed.

5. 5

   Click 'Start' and wait for the extraction to finish.

6. 6

   Navigate to the 'Storage' tab to download your tweets in JSON, CSV, or Excel.

API Example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

const input = {
    "searchTerms": [
        "#AI min_faves:500"
    ],
    "sort": "Top",
    "maxItems": 200
};

const run = await client.actor("apidojo/tweet-scraper").call(input);

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing Structure

Pay for usage. Extremely cost-effective at roughly $2.00 per 1,000 tweets extracted. With the $5 free monthly credit, you can comfortably scrape over 2,000 tweets per month for free.

Limitations

• Twitter/X continuously updates its anti-bot systems; occasionally the scraper might require updates from the developer.
• Extracting historical tweets older than 6-12 months can be slower or yield fewer results depending on Twitter's indexing.
• Does not extract data from private/locked accounts.

Frequently Asked Questions