# X / Twitter DM History Fetcher & Scraper (`fastcrawler/x-twitter-dm-history-fetcher-scraper`) Actor The best API to scrape and download Twitter (X) direct message history. Supports individual and group DMs. No official developer account needed. Perfect for developers and businesses needing reliable data extraction for CRM sync, analytics, and messaging backups. - **URL**: https://apify.com/fastcrawler/x-twitter-dm-history-fetcher-scraper.md - **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community) - **Categories:** AI, Agents, Social media - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 dmhistoryresults 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 DM History Fetcher & Scraper Automate the extraction of your Twitter (X) direct message history **without needing an official Twitter Developer account or API access**. Built for developers, CRM integration, customer support sync, and audit logging, this ultimate DM scraping tool empowers you to seamlessly export your 1-on-1 and group conversations into structured data (JSON, CSV, etc.). --- ### ✨ Key Features & Benefits * 🚫 **No API Key or Dev Account Needed:** Works directly with your logged-in account sessions (via cookies). Bypass official API restrictions instantly. * 💬 **1-on-1 & Group DM Supported:** Fetches both private chats and group conversations with ease. * 🔄 **Pagination & Cursor Support:** Effortlessly scrape long conversation histories by utilizing cursor-based pagination. * 🗃️ **Structured Data Export:** Ready to integrate with your CRM, analytics tools, or backup systems. * 🛡️ **Proxy Support & Safety:** Keep your accounts safe by routing traffic through custom proxies for stable and secure connections. --- ### 🚀 Input Parameters Here is the complete list of parameters you can pass to this Actor: | Field | Type | Description | | :--- | :--- | :--- | | **`cookie`** | String | *(Required)* Cookies used to authorize the actor with Twitter. Export as 'Headers String' using the Cookie-Editor extension. | | **`recipient`** | String | *(Required)* The target you want to fetch history from. Supports User ID, `@handle`, conversationId (e.g., `a:b`), or group ID (e.g., `g...`). | | **`pin`** | String | *(Optional)* Enter your xchat Passcode (PIN) if required to access specific chats. | | **`proxy`** | String | *(Optional)* Custom proxy URL (e.g., `http://user:pass@ip:port`). Leave blank if not needed. | # Actor input Schema ## `cookie` (type: `string`): Cookies are used to authorize the actor with twitter Follow these steps to get the cookies: 1. Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) chrome extension 2. Login to your twitter account 3. Click on the extension and Export As 'Headers String' and export the twitter cookies 4. Paste the copied contents here. [how-to-get-twitter-cookie](https://youtube-promotion.pages.dev/how-to-get-twitter-cookie) ## `recipient` (type: `string`): User id, @handle, conversationId a:b, or group g.... ## `pin` (type: `string`): Enter your xchat Passcode (PIN) if required. ## `proxy` (type: `string`): Custom proxy URL (e.g., http://user:pass@ip:port). Leave blank if not needed. ## Actor input object example ```json { "cookie": "auth_token=b07bd", "recipient": "123456789", "pin": "" } ```` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "cookie": "auth_token=b07bd", "recipient": "123456789" }; // Run the Actor and wait for it to finish const run = await client.actor("fastcrawler/x-twitter-dm-history-fetcher-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 = { "cookie": "auth_token=b07bd", "recipient": "123456789", } # Run the Actor and wait for it to finish run = client.actor("fastcrawler/x-twitter-dm-history-fetcher-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 '{ "cookie": "auth_token=b07bd", "recipient": "123456789" }' | apify call fastcrawler/x-twitter-dm-history-fetcher-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fastcrawler/x-twitter-dm-history-fetcher-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X / Twitter DM History Fetcher & Scraper", "description": "The best API to scrape and download Twitter (X) direct message history. Supports individual and group DMs. No official developer account needed. Perfect for developers and businesses needing reliable data extraction for CRM sync, analytics, and messaging backups.", "version": "0.0", "x-build-id": "nZ1JiiDd95YCUNQg0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fastcrawler~x-twitter-dm-history-fetcher-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fastcrawler-x-twitter-dm-history-fetcher-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fastcrawler~x-twitter-dm-history-fetcher-scraper/runs": { "post": { "operationId": "runs-sync-fastcrawler-x-twitter-dm-history-fetcher-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fastcrawler~x-twitter-dm-history-fetcher-scraper/run-sync": { "post": { "operationId": "run-sync-fastcrawler-x-twitter-dm-history-fetcher-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "cookie", "recipient" ], "properties": { "cookie": { "title": "Cookies: Cookies are used to authorize the actor with twitter", "type": "string", "description": "Cookies are used to authorize the actor with twitter \n\n Follow these steps to get the cookies:\n\n1. Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) chrome extension\n2. Login to your twitter account\n3. Click on the extension and Export As 'Headers String' and export the twitter cookies\n4. Paste the copied contents here. \n\n [how-to-get-twitter-cookie](https://youtube-promotion.pages.dev/how-to-get-twitter-cookie)" }, "recipient": { "title": "recipient", "type": "string", "description": "User id, @handle, conversationId a:b, or group g...." }, "pin": { "title": "xchat Passcode (PIN)", "type": "string", "description": "Enter your xchat Passcode (PIN) if required.", "default": "" }, "proxy": { "title": "Proxy URL (Optional)", "type": "string", "description": "Custom proxy URL (e.g., http://user:pass@ip:port). Leave blank if not needed." } } }, "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 } } } } } } } } } } ```