Best X (Twitter) Scraping APIs in 2026: Scalability, Speed & Pricing

Staff Member

Jan 02, 2026

twitter data API , x API , twitter API

Best Twitter Scraping APIs

This guide reviews top X (Twitter) scraping APIs including SteadyAPI, Scrapingdog, Bright Data, Scrapingbee, and ScraperAPI.

SteadyAPI: Comprehensive endpoints for search, users, trends, and lists; delivers structured JSON data with straightforward Bearer token authentication.
Scrapingdog: Dedicated scraper with a dashboard; provides tweet metadata; includes a free credit trial.
Bright Data: Enterprise-grade solution; approx. $0.0009/record.
Scrapingbee: General web scraper (requires HTML parsing); approx. $0.0016/page.
ScraperAPI: General web scraper; approx. $0.0049/request.

Takeaway: SteadyAPI and Scrapingdog offer structured data out of the box, while others may require handling raw HTML.

Extracting data from social media platforms has become a critical operation for many businesses. Analyzing comments, posts, and engagement metrics allows companies to gauge public sentiment effectively.

Organizations utilize this data to monitor customer feedback or track competitor activities. In the realm of influencer marketing, scraping follower counts and content reach helps brands identify the right partners for promotion. Similarly, PR agencies analyze social media to spot trending topics for client campaigns, while political groups use the data to refine election agendas based on public discourse.

Among social platforms, X (formerly Twitter) is particularly dynamic. With over 500 million active users, it represents a massive repository of user-generated content, ranging from celebrity posts to real-time public reactions.

However, scraping Twitter at scale presents significant challenges, primarily due to aggressive IP blocking and anti-bot measures. To bypass these hurdles and maintain a stable data pipeline, using a specialized Twitter Scraping API is recommended.

Below is a compiled list of X (Twitter) scraping APIs, tested for reliability and integration ease.

SteadyAPI Twitter / X API

SteadyAPI provides a comprehensive set of endpoints designed to fetch real-time Twitter/X data. It covers a wide range of functionalities, including retrieving tweets, user profiles, replies, media, and global trends. The API returns structured JSON data, eliminating the need for complex HTML parsing.

Key capabilities include:

Search & Discovery: Find users, hashtags, and tweets (Top, Latest, People, Photos, Videos) via the /v1/search endpoint.
User Data: Retrieve detailed profile information, followers, following lists, and user timelines using /v1/user endpoints.
Tweet Details: Access granular data for specific tweets, including media urls and reply counts via /v1/tweet/info.
Trends: Fetch trending topics for specific locations using WOEID (Where On Earth ID).
Lists: Search for public lists and retrieve list members and timelines.

Example Request:

The following Python example demonstrates how to search for a keyword using SteadyAPI.

Python

import requests
import json

url = 'https://api.steadyapi.com/v1/twitter/search'
params = {
  'search': 'investing',
  'type': 'Top' # Options: Top, Latest, People, Photos, Videos
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}'
}

response = requests.request('GET', url, headers=headers, params=params)
print(response.json())

Output Structure:

The API returns a standardized JSON response containing metadata and a body with the requested results.

JSON

{
  "meta": {
    "version": "v1.0",
    "status": 200,
    "query": "investing",
    "count": 18
  },
  "body": [
    {
      "__typename": "Tweet",
      "rest_id": "1990951529319219322",
      "core": {
        "user_results": {
          "result": {
            "legacy": {
              "name": "Brian Feroldi",
              "screen_name": "BrianFeroldi",
              "followers_count": 635641
            }
          }
        }
      },
      "legacy": {
        "full_text": "The Best Investing Tools...",
        "reply_count": 15,
        "retweet_count": 173,
        "favorite_count": 790
      }
    }
  ]
}

For full implementation details, refer to the SteadyAPI documentation.

Scrapingdog Twitter Scraper API

Scrapingdog offers a dedicated Twitter Scraper API aimed at simplifying data extraction. Users can sign up for a trial to evaluate the service.

Upon logging in, the dashboard provides access to the X Scraper tool. Users can input a URL directly into the interface to retrieve data without writing code immediately. The tool extracts details such as tweet text, like counts, and comment numbers.

Alternatively, developers can integrate the API into their workflow. Below is an example of how to fetch tweet data programmatically:

Python

import requests

api_key = "your-api-key"
url = "https://api.scrapingdog.com/twitter"

params = {
    "api_key": api_key,
    "url": "https://x.com/username/status/123456789",
    "parsed": "true"
}

response = requests.get(url, params=params)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Request failed with status code: {response.status_code}")

Bright Data

A list of scraping tools often includes Bright Data, which provides a dedicated solution for scraping Twitter at an enterprise scale. While they typically do not offer a standard free trial for this specific dataset, their infrastructure is robust. The pricing model is generally usage-based, often costing around $0.0009 per record.

Scrapingbee

Scrapingbee does not market a specific "X Scraper API" in the same way as others, but its general web scraping API is capable of handling Twitter pages. A free trial is available for testing.

Since Scrapingbee returns the raw HTML of the page, developers must use a parsing library—such as BeautifulSoup for Python or Cheerio for Node.js—to extract the specific data points required. The cost for scraping Twitter pages is approximately $0.0016 per page.

ScraperAPI

Similar to Scrapingbee, ScraperAPI previously offered a dedicated endpoint but now primarily relies on its general web scraper for this task. It handles proxy rotation and headless browsing to retrieve the raw HTML from Twitter URLs.

Users are responsible for parsing the returned HTML content. The approximate cost per request for scraping these pages is around $0.0049.

Special Mention - Lobstr.io

Lobstr.io provides a different approach with no-code automation. It offers pre-built "Squids" (scrapers) for Twitter user profiles, posts, and search results. These can be triggered via a dashboard or an API.

The platform allows for the collection of over 60 structured data points. Pricing is based on the volume of data collected, costing roughly $0.0005 per result. A free tier allows for limited collection (approx. 100 results/month), which is useful for testing. Data can be exported to CSV, JSON, or Google Sheets, or integrated with platforms like Make.

Conclusion

We have compiled this list of effective Twitter scraping solutions currently available. While other tools exist, the ones listed above offer a mix of direct API access, general scraping capabilities, and no-code environments to suit different technical requirements. We will update this comparison as new or improved solutions emerge.