# X / Twitter Post Scraper (`clappi/x-twitter-post-scraper`) Actor Instantly scrape X (Twitter) posts - no login, no API keys. Get full engagement metrics (likes, retweets, replies, quotes, bookmarks, views) plus complete author profile data. Fast, reliable, and ready to scale. - **URL**: https://apify.com/clappi/x-twitter-post-scraper.md - **Developed by:** [Clappi](https://apify.com/clappi) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.30 / 1,000 posts 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 ## X (Twitter) Post Scraper Scrape public X (Twitter) post metrics and author data without login. Get likes, retweets, replies, quotes, bookmarks, views, and full author profile details. ### Input | Field | Type | Description | |-------|------|-------------| | `postUrls` | array | X post URLs to scrape | #### Supported URL formats - `https://x.com/username/status/ID` — Standard post URL - `https://twitter.com/username/status/ID` — Old twitter.com URLs - `https://x.com/i/status/ID` — Short format (no username) #### Example Input ```json { "postUrls": [ "https://x.com/HardwareSteam/status/2050983784879722845", "https://x.com/GymBr_o/status/2050688856861630710", "https://x.com/JasonDeJesuz/status/2050885797029499224" ] } ```` ### Output Each post returns a JSON object with the following fields: ```json { "tweet_id": "1234567890123456789", "url": "https://x.com/username/status/1234567890123456789", "text": "Post content here...", "created_at": "Sun May 03 17:00:14 +0000 2026", "lang": "en", "likes": 1200, "retweets": 85, "replies": 43, "quotes": 12, "bookmarks": 97, "views": 45000, "possibly_sensitive": false, "hashtags": ["example", "hashtag"], "media": [ { "type": "photo", "url": "https://pbs.twimg.com/media/..." } ], "author": { "id": "987654321", "username": "username", "name": "Display Name", "created_at": "Mon Jan 01 00:00:00 +0000 2022", "avatar_url": "https://pbs.twimg.com/profile_images/...", "banner_url": "https://pbs.twimg.com/profile_banners/...", "bio": "Account bio text here", "location": "New York, NY", "followers": 15000, "following": 500, "tweets_count": 2400, "media_count": 310, "likes_given": 8500, "listed_count": 75, "is_blue_verified": false, "is_verified": false, "is_protected": false }, "status": "available", "scrapedAt": "2026-05-03T17:00:00.000Z" } ``` #### Output fields | Field | Description | |-------|-------------| | `tweet_id` | Post ID | | `url` | Canonical post URL | | `text` | Full post text | | `created_at` | Post publish timestamp | | `lang` | Detected language | | `likes` | Like count | | `retweets` | Retweet count | | `replies` | Reply count | | `quotes` | Quote tweet count | | `bookmarks` | Bookmark count | | `views` | View count | | `hashtags` | List of hashtags used | | `media` | Attached media (photos/videos) | | `author.username` | Author handle | | `author.followers` | Follower count | | `author.is_blue_verified` | X Premium (blue checkmark) | | `author.is_verified` | Legacy verified status | | `status` | `available` or `unavailable` | | `scrapedAt` | Scrape timestamp (ISO 8601) | ### Use Cases - **Content Analysis** — Track post performance metrics - **Competitor Research** — Monitor competitor content engagement - **Influencer Vetting** — Verify engagement rates and follower quality - **Social Listening** — Collect post data for reporting and analysis - **Audience Research** — Analyse author profiles and reach # Actor input Schema ## `postUrls` (type: `array`): List of X (Twitter) post URLs to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy settings. ## Actor input object example ```json { "postUrls": [ "https://x.com/HardwareSteam/status/2050983784879722845", "https://x.com/GymBr_o/status/2050688856861630710", "https://x.com/JasonDeJesuz/status/2050885797029499224" ], "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "postUrls": [ "https://x.com/HardwareSteam/status/2050983784879722845", "https://x.com/GymBr_o/status/2050688856861630710", "https://x.com/JasonDeJesuz/status/2050885797029499224" ] }; // Run the Actor and wait for it to finish const run = await client.actor("clappi/x-twitter-post-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 = { "postUrls": [ "https://x.com/HardwareSteam/status/2050983784879722845", "https://x.com/GymBr_o/status/2050688856861630710", "https://x.com/JasonDeJesuz/status/2050885797029499224", ] } # Run the Actor and wait for it to finish run = client.actor("clappi/x-twitter-post-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 '{ "postUrls": [ "https://x.com/HardwareSteam/status/2050983784879722845", "https://x.com/GymBr_o/status/2050688856861630710", "https://x.com/JasonDeJesuz/status/2050885797029499224" ] }' | apify call clappi/x-twitter-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=clappi/x-twitter-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X / Twitter Post Scraper", "description": "Instantly scrape X (Twitter) posts - no login, no API keys. Get full engagement metrics (likes, retweets, replies, quotes, bookmarks, views) plus complete author profile data. Fast, reliable, and ready to scale.", "version": "0.0", "x-build-id": "4YzPRy37gQcsoJlQq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/clappi~x-twitter-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-clappi-x-twitter-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/clappi~x-twitter-post-scraper/runs": { "post": { "operationId": "runs-sync-clappi-x-twitter-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/clappi~x-twitter-post-scraper/run-sync": { "post": { "operationId": "run-sync-clappi-x-twitter-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "postUrls" ], "properties": { "postUrls": { "title": "X Post URLs", "minItems": 1, "type": "array", "description": "List of X (Twitter) post URLs to scrape.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```