# X / Twitter Profile Posts Scraper (`automly/x-twitter-list-replies-scraper`) Actor Collect public posts from one or more X (Twitter) profile timelines as clean, structured records. - **URL**: https://apify.com/automly/x-twitter-list-replies-scraper.md - **Developed by:** [Automly](https://apify.com/automly) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 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 ## X / Twitter Profile Posts Scraper Collect public **posts from X (Twitter) profile timelines** and turn them into a clean, structured dataset. Point it at one or more accounts and get back each post with author, text, engagement counts, timestamp, and a direct link — ready for analysis, monitoring, or export. ### What it does - Reads recent public posts from one or more **profiles** (by `@handle` or URL). - Returns a flat record per post with author, text, engagement counts, timestamp, and a direct link. - De-duplicates within a run, so the same post never appears twice. - Supports an optional **date floor** to keep runs focused on fresh activity. Run it on a schedule to keep a fresh feed of an account's posts, or run it ad hoc to pull a profile's recent activity. ### Input | Field | Type | Description | |-------|------|-------------| | `startUrlsOrHandles` | array of strings | Accounts to read from. Accepts `@handles` (e.g. `@nasa`), profile URLs, or post URLs (the post's author is used). | | `maxPosts` | integer | Maximum posts to collect across all profiles (1–5000). Default `100`. | | `since` | string | Optional `YYYY-MM-DD` date. Posts created before this date are skipped. | | `proxyConfiguration` | object | Proxy settings. Residential proxies are strongly recommended for consistent results. | #### Example input ```json { "startUrlsOrHandles": ["@nasa", "https://x.com/natgeo"], "maxPosts": 100, "since": "2024-01-01", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Every post is pushed to the dataset as a flat record: ```json { "postId": "1790000000000000000", "authorHandle": "nasa", "authorName": "NASA", "text": "We're going back to the Moon.", "likeCount": 48213, "repostCount": 9120, "replyCount": 1342, "createdAt": "2024-05-01T15:04:05+00:00", "url": "https://x.com/nasa/status/1790000000000000000" } ``` | Field | Description | |-------|-------------| | `postId` | ID of the post. | | `authorHandle` | Account handle of the author, without the `@`. | | `authorName` | Display name of the author. | | `text` | Full text of the post. | | `likeCount` | Number of likes. | | `repostCount` | Number of reposts. | | `replyCount` | Number of replies the post has received. | | `createdAt` | ISO 8601 UTC creation timestamp. | | `url` | Direct link to the post on X. | ### Pricing This actor uses a **pay-per-event** model: - **Result item produced** — charged for each post saved to the dataset. You only pay for the results you actually receive. ### Tips - Start with a low `maxPosts` to gauge volume, then scale up. - Use `since` to keep scheduled runs focused on fresh activity. - Enable residential proxy configuration for more reliable results. # Actor input Schema ## `startUrlsOrHandles` (type: `array`): Accounts to read posts from. Accepts @handles (e.g. @nasa), profile URLs (e.g. https://x.com/nasa), or post/status URLs (the post's author is used). ## `maxPosts` (type: `integer`): Maximum number of posts to collect across all profiles (1-5000). ## `since` (type: `string`): Optional ISO date (YYYY-MM-DD). Posts created before this date are skipped. Leave empty for no date limit. ## `proxyConfiguration` (type: `object`): Proxy settings used to reach X reliably. Residential proxies are strongly recommended for consistent results. ## Actor input object example ```json { "startUrlsOrHandles": [ "@nasa" ], "maxPosts": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `records` (type: `string`): All posts produced by this run. ## `overview` (type: `string`): Dataset presented using the dataset schema overview view. # 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 = { "startUrlsOrHandles": [ "@nasa" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("automly/x-twitter-list-replies-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 = { "startUrlsOrHandles": ["@nasa"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("automly/x-twitter-list-replies-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 '{ "startUrlsOrHandles": [ "@nasa" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call automly/x-twitter-list-replies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automly/x-twitter-list-replies-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X / Twitter Profile Posts Scraper", "description": "Collect public posts from one or more X (Twitter) profile timelines as clean, structured records.", "version": "1.0", "x-build-id": "V6jAGAVo9mJK0msxD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automly~x-twitter-list-replies-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automly-x-twitter-list-replies-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/automly~x-twitter-list-replies-scraper/runs": { "post": { "operationId": "runs-sync-automly-x-twitter-list-replies-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/automly~x-twitter-list-replies-scraper/run-sync": { "post": { "operationId": "run-sync-automly-x-twitter-list-replies-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": [ "startUrlsOrHandles" ], "properties": { "startUrlsOrHandles": { "title": "Profiles or handles", "type": "array", "description": "Accounts to read posts from. Accepts @handles (e.g. @nasa), profile URLs (e.g. https://x.com/nasa), or post/status URLs (the post's author is used).", "items": { "type": "string" } }, "maxPosts": { "title": "Max posts", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of posts to collect across all profiles (1-5000).", "default": 100 }, "since": { "title": "Only posts since (date)", "type": "string", "description": "Optional ISO date (YYYY-MM-DD). Posts created before this date are skipped. Leave empty for no date limit." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings used to reach X reliably. Residential proxies are strongly recommended for consistent results." } } }, "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 } } } } } } } } } } ```