# X.com / Twitter video downloader (`pocesar/download-twitter-video`) Actor Download X.com (formerly Twitter) videos in bulk - **URL**: https://apify.com/pocesar/download-twitter-video.md - **Developed by:** [Paulo Cesar](https://apify.com/pocesar) (community) - **Categories:** Automation, Social media, Videos - **Stats:** 92 total users, 0 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing $10.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 video downloader Download multiple videos from Twitter / X.com and save them to Apify key value store ### Supported URLs * `https://twitter.com/username/status/`... * `https://x.com/username/status/`... * `https://twitter.com/i/status/`... * `https://x.com/i/status/`... ### Custom data If you need to pass custom data to the output, set the `userData` object of the request in the `startUrls` array and it will be appended to the output ```json { "startUrls": [{ "url": "https://www.twitter.com/.../status/...", "userData": { "userid": "1454784661528485889" } }] } ```` ### Integration Integrates with the https://apify.com/pocesar/merge-key-value-store-pieces to merge the output as one output for each chunks downloaded. Otherwise, check the way for doing this manually below. ### Output The generated output is the following: ```jsonc { "url": "https://x.com/apify/status/1454784661528485889", // original URL requested "hash": "83143134", // the internal hash of the video, never changes between requests "partsUrl": "https://api.apify.com/v2/key-value-stores/SOME_ID/records/83143134", // the URL to the Key Value store where the video parts are stored "userData": { "userid": "1454784661528485889" }, "#error": false // hidden field if there was an error } ``` The video is chunked in parts of ~2MB each and saved to the Key Value store. To be able to download it, you'll need to download all the parts and concatenate them together. Here's a small example that can be used in the browser: ```js const { appendFileSync } = require('node:fs'); async function main(datasetId) { const items = await fetch(`https://api.apify.com/v2/datasets/${datasetId}/items?clean=true&format=json`).then((response) => response.json()); const firstVideo = items[0].partsUrl; // partsUrl contains the location to the Key Value store // get the parts from the Key value store const { parts, length, contentType } = await fetch(firstVideo).then((response) => response.json()); console.log({ parts, length, contentType }); // wait for all parts to be downloaded for (const url of parts) { // download part using fetch const downloaded = await fetch(url); // get an arrayBuffer from the chunk const arrayBuffer = new Uint8Array(await downloaded.arrayBuffer()); console.log(`Downloaded ${arrayBuffer.byteLength} bytes from ${url}`); // write downloaded chunk to file appendFileSync('video.mp4', arrayBuffer); } } main('YOUR_DATASET_ID'); ``` # Actor input Schema ## `startUrls` (type: `array`): Post urls that contains video publicly available ## `proxy` (type: `object`): Select proxy for download ## `maxRequestRetries` (type: `integer`): How many times the request should be retried before giving up ## Actor input object example ```json { "startUrls": [ { "url": "https://x.com/apify/status/1454784661528485889", "method": "GET" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [], "apifyProxyCountry": "US" }, "maxRequestRetries": 3 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://x.com/apify/status/1454784661528485889", "method": "GET" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [], "apifyProxyCountry": "US" }, "maxRequestRetries": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("pocesar/download-twitter-video").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "startUrls": [{ "url": "https://x.com/apify/status/1454784661528485889", "method": "GET", }], "proxy": { "useApifyProxy": True, "apifyProxyGroups": [], "apifyProxyCountry": "US", }, "maxRequestRetries": 3, } # Run the Actor and wait for it to finish run = client.actor("pocesar/download-twitter-video").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 '{ "startUrls": [ { "url": "https://x.com/apify/status/1454784661528485889", "method": "GET" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [], "apifyProxyCountry": "US" }, "maxRequestRetries": 3 }' | apify call pocesar/download-twitter-video --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pocesar/download-twitter-video", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X.com / Twitter video downloader", "description": "Download X.com (formerly Twitter) videos in bulk", "version": "0.2", "x-build-id": "GRRvRf9d0OFgWSaxI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pocesar~download-twitter-video/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pocesar-download-twitter-video", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pocesar~download-twitter-video/runs": { "post": { "operationId": "runs-sync-pocesar-download-twitter-video", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pocesar~download-twitter-video/run-sync": { "post": { "operationId": "run-sync-pocesar-download-twitter-video", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "proxy" ], "properties": { "startUrls": { "title": "Post URLs", "type": "array", "description": "Post urls that contains video publicly available", "default": [ { "url": "https://x.com/apify/status/1454784661528485889", "method": "GET" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "proxy": { "title": "Proxy", "type": "object", "description": "Select proxy for download", "default": { "useApifyProxy": true, "apifyProxyGroups": [], "apifyProxyCountry": "US" } }, "maxRequestRetries": { "title": "Maximum request retries", "type": "integer", "description": "How many times the request should be retried before giving up", "default": 3 } } }, "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 } } } } } } } } } } ```