# Twitter Profile Scraper (`pratikdani/twitter-profile-scraper`) Actor The **Twitter Profile Scraper** collects detailed information from any public Twitter profile. Enter the profile URL to retrieve data such as follower count, post details, and profile information. Ideal for tracking and analyzing Twitter activity. - **URL**: https://apify.com/pratikdani/twitter-profile-scraper.md - **Developed by:** [Pratik Dani](https://apify.com/pratikdani) (community) - **Categories:** Social media, Lead generation - **Stats:** 492 total users, 14 monthly users, 97.0% runs succeeded, 9 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing from $15.00 / 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 Profile Scraper Interested in scraping Twitter profiles? Get it here: [Twitter Profile Scraper](https://apify.com/pratikdani/twitter-profile-scraper). Extract detailed information from Twitter profiles and posts efficiently. **Features** - **Data Export and Integration:** Export the extracted data in JSON or CSV format. Customize the fields to integrate with other tools and platforms for in-depth analysis. - **Automatic Retry and Error Handling:** The scraper includes built-in retry functionality to handle network issues or timeouts gracefully, ensuring uninterrupted data collection. - **Ability to Resume Last Failed Runs:** Resume data collection from the last failed attempt with a simple click, allowing you to pick up where you left off. **Sample Output** Here is a sample output of this scraper: ```json { "biography": null, "birth_date": null, "category_name": null, "date_joined": "2009-06-02T20:12:29.000Z", "external_link": null, "followers": 193576643, "following": 690, "id": "elonmusk", "input": { "url": "https://x.com/elonmusk" }, "is_business_account": false, "is_government_account": false, "is_verified": true, "location": null, "posts": [ { "date_posted": "2022-04-28T00:56:58.000Z", "description": "Next I’m buying Coca-Cola to put the cocaine back in", "hashtags": [], "likes": 4457583, "photos": null, "post_id": "1519480761749016577", "post_url": "https://twitter.com/44196397/status/1519480761749016577", "replies": 182384, "reposts": 623761, "videos": null, "views": null } ], "posts_count": 49004, "profile_image_link": "https://pbs.twimg.com/profile_images/1815749056821346304/jS8I28PL_normal.jpg", "profile_name": "Elon Musk", "subscriptions": 158, "suggested_profiles": [ { "profile_id": "50393960", "profile_image": "https://pbs.twimg.com/profile_images/1674815862879178752/nTGMV1Eo_normal.jpg", "profile_name": "Bill Gates", "profile_url": "https://x.com/BillGates" } ], "url": "https://x.com/elonmusk", "x_id": "44196397" } ```` #### Output Data Documentation Here is the JSON fields documentation without including the sample values: - **biography** (string): A short biography of the user. - **birth\_date** (string): The birth date of the user. - **category\_name** (string): The category or type of account. - **date\_joined** (string): The date when the user joined Twitter. - **external\_link** (string): Any external link associated with the user’s profile. - **followers** (number): The number of followers the user has. - **following** (number): The number of accounts the user is following. - **id** (string): The user’s internal Twitter ID. - **input** (object): Contains the URL of the user’s Twitter profile. - **is\_business\_account** (boolean): Indicates if the account is a business account. - **is\_government\_account** (boolean): Indicates if the account is a government account. - **is\_verified** (boolean): Indicates if the account is verified. - **location** (string): The location of the user. - **posts** (array): An array of posts by the user. - **posts\_count** (number): The total number of posts made by the user. - **profile\_image\_link** (string): The URL of the user’s profile image. - **profile\_name** (string): The name of the user. - **subscriptions** (number): The number of subscriptions the user has. - **suggested\_profiles** (array): A list of suggested profiles related to the user. - **url** (string): The URL of the user’s Twitter profile. - **x\_id** (string): The user’s unique ID on Twitter. # Actor input Schema ## `url` (type: `string`): URL of the Twitter profile to scrape ## Actor input object example ```json { "url": "https://x.com/elonmusk" } ``` # 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 = { "url": "https://x.com/elonmusk" }; // Run the Actor and wait for it to finish const run = await client.actor("pratikdani/twitter-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "url": "https://x.com/elonmusk" } # Run the Actor and wait for it to finish run = client.actor("pratikdani/twitter-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://x.com/elonmusk" }' | apify call pratikdani/twitter-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pratikdani/twitter-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Profile Scraper", "description": "The **Twitter Profile Scraper** collects detailed information from any public Twitter profile. Enter the profile URL to retrieve data such as follower count, post details, and profile information. Ideal for tracking and analyzing Twitter activity.", "version": "0.0", "x-build-id": "HPvAZsWQoHuAByGJE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pratikdani~twitter-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pratikdani-twitter-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pratikdani~twitter-profile-scraper/runs": { "post": { "operationId": "runs-sync-pratikdani-twitter-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pratikdani~twitter-profile-scraper/run-sync": { "post": { "operationId": "run-sync-pratikdani-twitter-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Twitter Profile URL", "type": "string", "description": "URL of the Twitter profile to scrape" } } }, "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 } } } } } } } } } } ```