Pricing

$19.99/month + usage

Twitter User Following Scraper

Twitter User Following Scraper collects publicly available following data from Twitter user profiles. Extract usernames, profile metadata, and relationship details for research, analysis, or monitoring with fast execution and structured output.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scraper Engine

Actor stats

Bookmarked

Total users

Monthly active users

4 hours ago

Last modified

Categories

Social media

Lead generation

Developer tools

You can access the Twitter User Following 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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          "startUrls"
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        "properties": {
          "startUrls": {
            "title": "Twitter Usernames, URLs, or Keywords",
            "type": "array",
            "description": "List one or more Twitter usernames (e.g., jordanbpeterson), URLs (e.g., https://x.com/jordanbpeterson), or keywords.",
            "items": {
              "type": "string"
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          },
          "maxResults": {
            "title": "Maximum Results per Username",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of following users to scrape per username.",
            "default": 100
          },
          "authToken": {
            "title": "X auth_token Cookie (Optional)",
            "type": "string",
            "description": "Your X/Twitter `auth_token` cookie value. If not provided, the actor will use its built-in default (may stop working over time).",
            "default": ""
          },
          "ct0": {
            "title": "X ct0 Cookie (Optional)",
            "type": "string",
            "description": "Your X/Twitter `ct0` (CSRF) cookie value. If provided, it will also be used as the `x-csrf-token` header. If not provided, the actor will use its built-in default (may stop working over time).",
            "default": ""
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Choose which proxies to use. By default, no proxy is used. If Twitter rejects or blocks the request, it will fallback to datacenter proxy, then residential proxy with 3 retries."
          }
        }
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                "type": "string"
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              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
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                "example": "2025-01-08T00:00:00.000Z"
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Twitter User Following 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 User Following 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 User Following Scraper API in Python

Twitter User Following Scraper API in JavaScript

Twitter User Following Scraper API through CLI

Twitter User Following Scraper API

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Twitter User Following Scraper helps you analyze who a Twitter user follows. Useful for audience mapping, influencer research, and competitor analysis. Collect following lists at scale to uncover interests, networks, and growth patterns.

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Extract high-fidelity Twitter user followings with granular metadata, capturing hidden fields like precise timestamps, engagement metrics, and unique user IDs. Cookieless extraction enables comprehensive audience database construction for advanced social network analysis

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Extract detailed TikTok user following list with comprehensive profile data including engagement metrics, account information, and social media links. Perfect for network analysis, influencer research, and social connection mapping. Supports pagination for large-scale data collection.