# Twitter / X Profile Scraper Goat (`goat255/twitter-profile-scraper`) Actor Bulk Twitter/X profile metadata. Followers, following, tweet count, bio, verification, avatar, banner. No API key, no login. - **URL**: https://apify.com/goat255/twitter-profile-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Social media - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Profile Scraper Goat - Bulk Profile Metadata with Followers, Bio & Verification Bulk-scrape public **Twitter / X profile metadata** with no API key, no login, and no per-run start fee. For every handle you pass in, you get one clean ordered row: identity, follower / following / tweet counts, bio, location, verification, profile picture, banner. Built for spreadsheets, CRMs, and lead-gen pipelines. ### What this Twitter profile scraper does For each username you provide, the actor returns one normalised profile row containing identity, follower / following / tweet counts, bio, verification, avatar, banner, and metadata. All records share a single ordered schema so the output drops straight into a spreadsheet or database without post-processing. Perfect for **lead generation, agency prospecting, influencer discovery, audience research, MRR / brand-monitoring pipelines, and CRM enrichment**. ### Why use this Twitter profile scraper - **No Twitter / X API key required.** No developer account, no rate-limit ceiling tied to a paid tier. - **No login.** Public profiles only. No cookies to refresh, no 2FA risk. - **Multi-tier resilient fetch** so a single upstream blip never breaks your run. - **Clean ordered output** - identity โ†’ metrics โ†’ profile fields โ†’ media โ†’ metadata. - **Bulk-friendly.** Feed in 10 or 10,000 handles per run. - **Residential proxy rotation built in.** ### What data you get per profile ```json { "ok": true, "id": "44196397", "username": "elonmusk", "name": "Example User", "description": "Example bio text", "location": "Austin, Texas", "url": "https://example.com", "created_at": "2009-06-02T20:12:29.000Z", "verified": true, "verified_type": "business", "protected": false, "profile_image_url": "https://pbs.twimg.com/profile_images/.../avatar.jpg", "profile_banner_url": "https://pbs.twimg.com/profile_banners/.../1500x500", "metrics": { "followers": 240100000, "following": 1348, "tweets": 103545, "listed": 145000, "likes": 231653, "media": 4517 }, "scrapedAt": "2026-06-02T11:30:00.000Z" } ```` ### How to use the Twitter Profile Scraper 1. Click **Try for free** on the actor page. 2. Enter the **usernames** in the `usernames` array - handles only (no `@` needed), one per line in the editor. 3. Leave the **proxy** on default (Apify residential). 4. Click **Save & Start**. Download in JSON, CSV, Excel, XML, or HTML. ### Top use cases - **Lead generation** - enrich a list of Twitter handles with bios + follower counts. - **Influencer outreach** - sort a list of creators by follower count + verification. - **CRM enrichment** - add Twitter metrics to your contact records. - **Audience research** - measure the public footprint of accounts in your niche. - **Brand monitoring** - track follower growth of competitor and customer handles. - **Investor / acquisition research** - benchmark social-media size across portfolio companies. - **Spreadsheet pipelines** - one row per handle, ready for Google Sheets / Excel. ### Pricing Pay-per-result. No subscription and **no per-run start fee**. Failed lookups are never billed. | What you pay for | Price | |---|---| | Per profile returned | $0.005 | Apify's $5 platform free credit applies on first use. ### Integrations #### Apify API ```bash curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json" ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("goat255/twitter-profile-scraper").call(run_input={ "usernames": ["NASA", "OpenAI", "elonmusk"], }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"@{item['username']:20} {item['metrics']['followers']:>12,} followers") ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('goat255/twitter-profile-scraper').call({ usernames: ['NASA', 'OpenAI'], }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(p => console.log(`@${p.username}: ${p.metrics.followers}`)); ``` #### No-code Send results to Google Sheets, Slack, Zapier, Make, Amazon S3, HubSpot, or any webhook via [Apify Integrations](https://docs.apify.com/platform/integrations). ### FAQ #### Do I need a Twitter / X API key? No. Public profiles only, no developer account required. #### Are the follower counts exact? Yes - the actor returns exact integer follower / following / tweet / listed / favourites / media counts. #### Do I need a proxy? Apify residential is the default and recommended for the most reliable results. #### What if a profile is private or suspended? The actor returns `ok: false` with an `error` field. You are not billed for failed lookups. #### Can I scrape tweets with this actor? This actor is profile-metadata only. Use the **Twitter / X Tweet Scraper Goat** for tweets and the **Twitter / X Scraper Goat** all-in-one actor for both in one run. #### Can I export to CSV / Google Sheets / Excel? Yes - JSON / CSV / Excel / XML / HTML all supported, plus native integrations. ### Related Apify actors - ๐Ÿ“ [Twitter / X Tweet Scraper](https://apify.com/goat255/twitter-tweet-scraper) - bulk tweet extraction by handle. - ๐Ÿฆ [Twitter / X Scraper](https://apify.com/goat255/twitter-scraper-goat) - profile + tweets in one run. - ๐Ÿ“ท [Instagram Profile Scraper](https://apify.com/goat255/instagram-profile-scraper) - Instagram profiles with public emails. - ๐Ÿงต [Instagram Threads Profile Scraper](https://apify.com/goat255/threads-profile-scraper) - Meta Threads profiles. ### Support Found a missing field or a bug? Open an issue on the actor page. Reviews are read and replied to. # Actor input Schema ## `usernames` (type: `array`): Handles to scrape (with or without @). Example: NASA, @OpenAI, elonmusk. ## `concurrency` (type: `integer`): How many handles to scrape in parallel. Default 10. Higher = faster but more proxy load. ## `proxyConfig` (type: `object`): Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results. ## Actor input object example ```json { "usernames": [ "NASA", "OpenAI", "elonmusk" ], "concurrency": 10, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "usernames": [ "NASA", "OpenAI", "elonmusk" ], "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/twitter-profile-scraper").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 = { "usernames": [ "NASA", "OpenAI", "elonmusk", ], "proxyConfig": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("goat255/twitter-profile-scraper").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 '{ "usernames": [ "NASA", "OpenAI", "elonmusk" ], "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call goat255/twitter-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/twitter-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter / X Profile Scraper Goat", "description": "Bulk Twitter/X profile metadata. Followers, following, tweet count, bio, verification, avatar, banner. No API key, no login.", "version": "0.1", "x-build-id": "3KYYqSeGT0FErDsuw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~twitter-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~twitter-profile-scraper/runs": { "post": { "operationId": "runs-sync-goat255-twitter-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~twitter-profile-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-twitter-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames" ], "properties": { "usernames": { "title": "Twitter / X Usernames", "type": "array", "description": "Handles to scrape (with or without @). Example: NASA, @OpenAI, elonmusk.", "items": { "type": "string" } }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many handles to scrape in parallel. Default 10. Higher = faster but more proxy load.", "default": 10 }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```