Twitter/X Posts Scraper

Pricing

$9.99/month + usage

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Twitter/X Posts Scraper

Try for free

Scrapes posts from Twitter X profiles, hashtags, or searches, capturing tweet text, media, timestamps, metrics, authors, hashtags, and URLs. Ideal for trend research, competitor analysis, sentiment studies, influencer insights, and large-scale Twitter X post extraction.

Pricing

$9.99/month + usage

Rating

5.0

(7)

Developer

Scraper Engine

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Social media

Lead generation

Agents

You can access the Twitter/X Posts Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "type": "object",
        "required": [
          "startUrls"
        ],
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          "startUrls": {
            "title": "Twitter URLs, Usernames, or Keywords",
            "type": "array",
            "description": "List one or more Twitter profile URLs (e.g., https://x.com/username), usernames (e.g., username or @username), or keywords to search. One entry per line.",
            "items": {
              "type": "string"
            }
          },
          "sortOrder": {
            "title": "Sort Order",
            "enum": [
              "recent",
              "popular",
              "oldest"
            ],
            "type": "string",
            "description": "How to sort the tweets",
            "default": "recent"
          },
          "maxTweets": {
            "title": "Maximum Tweets per User",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "Maximum number of tweets to fetch per user/profile (1-1000).",
            "default": 10
          },
          "maxComments": {
            "title": "Maximum Comments",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "Maximum number of comments to fetch per tweet (currently not implemented, reserved for future use).",
            "default": 0
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Choose which proxies to use. By default, no proxy is used. If Twitter/X rejects the request, it will automatically fallback to datacenter proxy, then residential proxy with 3 retries."
          }
        }
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Twitter/X Posts Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Twitter/X Posts Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Twitter/X Posts Scraper API in Python

Twitter/X Posts Scraper API in JavaScript

Twitter/X Posts Scraper API through CLI

Twitter/X Posts Scraper API

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