# Twitter Lists Search Scraper πŸ” (`easyapi/twitter-lists-search-scraper`) Actor Efficiently scrape and extract Twitter lists data. Find curated lists by keywords, including list names, URLs, subscriber counts, and descriptions. Perfect for social media researchers, marketers, and content creators looking to discover targeted Twitter communities. πŸ” - **URL**: https://apify.com/easyapi/twitter-lists-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media - **Stats:** 47 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Lists Search Scraper πŸ” ### πŸ€– What does Twitter Lists Search Scraper do? This actor helps you discover and extract Twitter lists data. It's perfect for social media researchers, marketers, and anyone interested in finding curated Twitter lists around specific topics or keywords. ### ✨ Features - 🎯 Search Twitter lists by keywords - πŸ“Š Extract list details including name, URL, subscriber count, and member count - πŸ“ Get list descriptions - ⚑ Fast and efficient data collection - πŸ”„ Automatic pagination handling - πŸ›‘οΈ Built-in proxy support ### πŸ”§ Input Parameters - `query` - The search term to find relevant Twitter lists - `maxResults` (optional) - Limit the number of results ### πŸ’‘ Use Cases - 🎯 Market Research: Find influential Twitter lists in your industry - πŸ“Š Competitor Analysis: Discover curated lists of industry players - πŸ” Content Discovery: Find relevant content sources - 🎨 Community Building: Identify potential community members ### πŸ’ͺ Benefits - Save hours of manual Twitter list research - Discover highly relevant, curated content sources - Build targeted audience lists - Stay updated with industry-specific information #### Input Example A full explanation of an input example in JSON. ```json { "query": "btc", "maxResults": 100 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "object_id": "1249473692842823682", "topic": "BTC Long term", "url": "twitter.com/i/lists/1249473692842823682", "primary_image": { "original_info": { "url": "https://pbs.twimg.com/media/GkIPUqRX0AAGDxg.png", "height": 375, "width": 1125, "focus_rect": { "h": 1, "w": 1, "x": 200, "y": 200 } } }, "supporting_text": "Some crypto traders that I have learnt from over the past couple of years", "facepile_urls": [ { "profile_image_url_https": "https://pbs.twimg.com/profile_images/1782380912384090113/haek5E45_mini.jpg" }, { "profile_image_url_https": "https://pbs.twimg.com/profile_images/1875205359650099200/ZjOGOjof_mini.png" }, { "profile_image_url_https": "https://pbs.twimg.com/profile_images/2002382867092156418/mCqW1z7e_mini.jpg" } ], "result_contexts": [ { "result_context": { "display_string": "2.1K followers including @earnwithsapna", "types": [ { "type": "followers_context" } ] } }, { "result_context": { "display_string": "19 members", "types": [ { "type": "members_context" } ] } } ], "searchQuery": "btc", "scrapedAt": "2026-05-29T02:51:34.334Z" }, ... ] ``` # Actor input Schema ## `query` (type: `string`): Topic or name to find public Lists on X. ## `maxResults` (type: `integer`): How many matching Lists to save to your dataset (from the top of the result list). ## Actor input object example ```json { "query": "ai", "maxResults": 100 } ``` # 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 = { "query": "ai", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/twitter-lists-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "ai", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("easyapi/twitter-lists-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "ai", "maxResults": 100 }' | apify call easyapi/twitter-lists-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/twitter-lists-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Lists Search Scraper πŸ”", "description": "Efficiently scrape and extract Twitter lists data. Find curated lists by keywords, including list names, URLs, subscriber counts, and descriptions. Perfect for social media researchers, marketers, and content creators looking to discover targeted Twitter communities. πŸ”", "version": "0.0", "x-build-id": "jzDtII8LOTnGT6YEG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~twitter-lists-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-twitter-lists-search-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~twitter-lists-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-twitter-lists-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~twitter-lists-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-twitter-lists-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search words", "type": "string", "description": "Topic or name to find public Lists on X.", "default": "ai" }, "maxResults": { "title": "Maximum results", "minimum": 50, "maximum": 10000, "type": "integer", "description": "How many matching Lists to save to your dataset (from the top of the result list).", "default": 100 } } }, "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 } } } } } } } } } } ```