# Twitter/X List Members Scraper ยท No Cookies (`data-slayer/twitter-list-members`) Actor Extract member profiles from any public Twitter/X list without login. Get usernames, bios, follower/following counts, verification status, locations, websites, and business account info. Build lead lists from curated Twitter lists. No cookies, no API key. JSON/CSV/Excel. - **URL**: https://apify.com/data-slayer/twitter-list-members.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Social media, Lead generation, Other - **Stats:** 12 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Twitter/X List Members Scraper ยท No Cookies Extract complete member profiles from any public Twitter list without authentication or cookies. This scraper enables sales intelligence teams to build targeted lead databases by harvesting rich profile data from curated Twitter lists in minutes. ### ๐Ÿ“บ Video Tutorial: How it Works [https://www.youtube.com/watch?v=8h8Qo2KFs4Y](https://www.youtube.com/watch?v=8h8Qo2KFs4Y) --- ### Inputs | Field | Type | Description | | ------ | ------ | ------------------------------------------------------------------------------------------------------------- | | listId | String | The unique identifier of the Twitter list to scrape (e.g., "1177128103228989440"). Find this in the list URL. | ### Outputs **Available Formats**: JSON, CSV, Excel **Extracted Fields**: - `user_id` - Unique Twitter user identifier - `screen_name` - Twitter handle (username) - `name` - Display name - `description` - User bio/profile description - `profile_image` - Profile picture URL - `statuses_count` - Total number of tweets - `followers_count` - Number of followers - `friends_count` - Number of accounts following - `media_count` - Total media items posted - `created_at` - Account creation date - `location` - User-specified location - `blue_verified` - Twitter Blue verification status - `verified` - Legacy verification status - `website` - Profile website URL - `affiliates` - Affiliated accounts - `business_account` - Business account information ### How to Use **Step 1**: Navigate to the target Twitter list and copy the List ID from the URL (the numeric string after `/lists/`). **Step 2**: Paste the List ID into the `listId` input field. **Step 3**: Click "Start" to begin extraction, then download your results in your preferred format (JSON, CSV, or Excel). ### Sample Output ```json [ { "user_id": "987654321012345678", "screen_name": "SarahTechCEO", "name": "Sarah Mitchell", "description": "CEO @ CloudScale | Building the future of enterprise SaaS | Speaker | Forbes 30 Under 30", "profile_image": "https://pbs.twimg.com/profile_images/...", "statuses_count": 8420, "followers_count": 15600, "friends_count": 890, "media_count": 340, "created_at": "Tue Mar 15 14:22:08 +0000 2018", "location": "San Francisco, CA", "blue_verified": true, "verified": false, "website": "https://cloudscale.io", "affiliates": [], "business_account": { "category": "Technology" } } ] ```` *** ### Key Features ๐Ÿ”’ **Cookieless / No Login Required** - Access public Twitter list data without authentication, eliminating account suspension risks and credential management overhead. ๐Ÿ“ˆ **Scalable Architecture** - Process lists containing thousands of members with enterprise-grade infrastructure that handles rate limits and pagination automatically. โœ… **Rich Profile Data** - Capture comprehensive user information including screen names, bios, follower/following counts, tweet statistics, verification status, location, account creation dates, and business account indicators. โšก **Fast & Reliable** - Optimized extraction engine delivers consistent results with built-in retry logic and error handling for uninterrupted data collection. ๐Ÿ“Š **Export-Ready Formats** - Download your data instantly in JSON, CSV, or Excel formats for seamless integration with CRM systems, marketing automation platforms, and analytics tools. ### Use Cases **Sales Professionals**: Identify decision-makers and prospects by extracting members from industry-specific Twitter lists, enriching your CRM with social profiles, follower counts, and bio information to prioritize high-value leads. **Market Analysts**: Monitor competitor audiences and industry influencers by scraping relevant Twitter lists to analyze audience demographics, engagement patterns, and community composition for strategic insights. **B2B Marketers**: Build targeted outreach campaigns by collecting profiles from lists curated by industry leaders, enabling personalized messaging based on user descriptions, locations, and social authority metrics. ### ๐Ÿงฉ Other Twitter/X Actors by Data Slayer | Actor | What it does | Link | | --------------------------------- | ------------------------------------------ | ------------------------------------------------------------------ | | Twitter Tweets Scraper | Extract tweets from any Twitter/X account | [Try it](https://apify.com/data-slayer/twitter-user-tweets) | | Twitter Comments Scraper | Extract replies from any tweet | [Try it](https://apify.com/data-slayer/twitter-comments) | | Twitter Followers Scraper | Extract follower lists from any account | [Try it](https://apify.com/data-slayer/twitter-followers) | | Twitter Following Scraper | See who any account follows | [Try it](https://apify.com/data-slayer/twitter-followings) | | Twitter Profile Scraper | Get detailed profile data by username | [Try it](https://apify.com/data-slayer/twitter-user) | | Twitter/X Search Scraper | Search tweets by keyword or hashtag | [Try it](https://apify.com/data-slayer/twitter-search) | | Twitter Community Members Scraper | Extract members from any Twitter community | [Try it](https://apify.com/data-slayer/twitter-community-members) | | Twitter Trends Scraper | Get trending topics by location | [Try it](https://apify.com/data-slayer/twitter-trends-by-location) | **Need verified emails?** Our [LinkedIn Post Engagers Email Finder](https://apify.com/data-slayer/linkedin-post-to-verified-leads) and [LinkedIn Audience Email Finder](https://apify.com/data-slayer/linkedin-influencer-audience-to-verified-leads) extract verified work emails from LinkedIn engagement data. ### ๐Ÿ’ฌ Feedback and Support We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features: - Create an issue on the Actor's **Issues tab** in Apify Console - Rate the actor if it helped you โ€” it helps others find it too We typically respond within 24 hours. *** *** # Actor input Schema ## `listId` (type: `string`): List ID ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "listId": "1177128103228989440", "maxPages": 1 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("data-slayer/twitter-list-members").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("data-slayer/twitter-list-members").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call data-slayer/twitter-list-members --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/twitter-list-members", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter/X List Members Scraper ยท No Cookies", "description": "Extract member profiles from any public Twitter/X list without login. Get usernames, bios, follower/following counts, verification status, locations, websites, and business account info. Build lead lists from curated Twitter lists. No cookies, no API key. JSON/CSV/Excel.", "version": "1.0", "x-build-id": "c0CeKJdjkcambUlMT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~twitter-list-members/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-twitter-list-members", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~twitter-list-members/runs": { "post": { "operationId": "runs-sync-data-slayer-twitter-list-members", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~twitter-list-members/run-sync": { "post": { "operationId": "run-sync-data-slayer-twitter-list-members", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "listId" ], "properties": { "listId": { "title": "List ID", "type": "string", "description": "List ID", "default": "1177128103228989440" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```