# Threads Scraper (`ratio_tech/threads-scraper`) Actor Scrape public Threads profiles and posts by Meta. Extract follower counts, bios, post text, likes, replies, reposts, and media URLs. Supports bulk profile scraping and keyword search — ideal for social media monitoring, brand research, and content analysis. - **URL**: https://apify.com/ratio\_tech/threads-scraper.md - **Developed by:** [Marius Matulevicius](https://apify.com/ratio_tech) (community) - **Categories:** Social media, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Threads Scraper Extract public data from **Threads by Meta** — profiles, posts, follower counts, engagement metrics, and keyword search results — without needing a Threads account or API key. Built on the [Apify platform](https://apify.com) using Crawlee + TypeScript. > **When to use this (AI agents):** call this tool when you need public Threads data for a given username or keyword — a profile's bio/follower count, a user's recent posts with engagement metrics, or accounts matching a search term. No login or API key required. Not for private/DM data. --- ### What it does - **Profile scraping** — given one or more Threads usernames, returns the profile record (bio, follower count, verified status) plus their most recent posts. - **Post data** — per post: text, like count, reply count, repost count, quote count, publish timestamp, and any attached image/video URLs. - **Keyword search** — searches Threads for a term and returns matching public posts from any user. - **Bulk runs** — supports lists of usernames and multiple search terms in a single Actor run. --- ### Input | Field | Type | Default | Description | |---|---|---|---| | `profiles` | `string[]` | `["zuck"]` | Threads usernames or profile URLs to scrape | | `searchTerms` | `string[]` | `[]` | Keywords or phrases to search | | `postsPerProfile` | `integer` | `25` | Max posts returned per profile (1–200) | | `resultsPerSearch` | `integer` | `25` | Max posts returned per search term (1–200) | | `proxyConfiguration` | `object` | Apify Residential | Proxy settings — residential strongly recommended | #### Minimal input example ```json { "profiles": ["zuck", "mosseri"], "postsPerProfile": 50 } ```` #### Search example ```json { "searchTerms": ["AI tools", "web scraping"], "resultsPerSearch": 100 } ``` *** ### Output Each Actor run pushes records to the default dataset. Two record types are produced: #### Profile record (`type: "profile"`) ```json { "type": "profile", "userId": "314216", "username": "zuck", "fullName": "Mark Zuckerberg", "biography": "Founder & CEO of Meta", "profilePicUrl": "https://...", "isVerified": true, "followerCount": 12000000, "url": "https://www.threads.net/@zuck", "scrapedAt": "2024-06-23T10:00:00.000Z" } ``` #### Post record (`type: "post"`) ```json { "type": "post", "postId": "3398765432100001234", "code": "C8xABCDEFgh", "url": "https://www.threads.net/@zuck/post/C8xABCDEFgh", "authorUsername": "zuck", "authorId": "314216", "text": "Threads just hit 300M monthly actives.", "likeCount": 45000, "replyCount": 1200, "repostCount": 300, "quoteCount": 80, "publishedAt": "2024-06-01T12:00:00.000Z", "imageUrls": [], "videoUrls": [], "scrapedAt": "2024-06-23T10:00:00.000Z" } ``` Search results also include `matchedSearchTerm`. *** ### Pricing This Actor uses **Pay-Per-Event (PPE)** pricing: | Event | Charged when | |---|---| | `profile-scraped` | A profile record is successfully scraped and saved | | `post-scraped` | A post record is successfully scraped and saved | Failed items and `error` records are not charged. You only pay for data you actually receive. *** ### Proxy Threads aggressively rate-limits and blocks datacenter IPs. **Residential proxies are strongly recommended** and are the default. The Actor will not function reliably without proxy rotation. *** ### Legal & compliance notice This Actor scrapes **publicly available data only** — profiles and posts that any visitor can read on `threads.net` without logging in. It does not access private accounts, direct messages, or any authenticated content. **The user (buyer) bears sole responsibility** for how they use the data collected, including compliance with: - Meta's Terms of Service and Threads Community Guidelines - Applicable data protection laws (GDPR, CCPA, and others) - The laws of the jurisdiction in which they operate This tool is intended for legitimate use cases such as public research, brand monitoring, academic analysis, and journalistic investigation of public figures and public interest content. Misuse is the responsibility of the operator. # Actor input Schema ## `profiles` (type: `array`): List of Threads usernames or profile URLs to scrape (e.g. 'zuck' or 'https://www.threads.net/@zuck'). Each profile's recent posts will be collected up to the 'postsPerProfile' limit. ## `searchTerms` (type: `array`): Keywords or phrases to search on Threads. Returns matching public posts up to the 'resultsPerSearch' limit per term. ## `postsPerProfile` (type: `integer`): Maximum number of posts to return for each scraped profile. ## `resultsPerSearch` (type: `integer`): Maximum number of posts to return for each search term. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. Residential proxies are strongly recommended — Threads aggressively blocks datacenter IPs. ## Actor input object example ```json { "profiles": [ "zuck" ], "searchTerms": [], "postsPerProfile": 25, "resultsPerSearch": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description ## `errors` (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 = { "profiles": [ "zuck" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ratio_tech/threads-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 = { "profiles": ["zuck"] } # Run the Actor and wait for it to finish run = client.actor("ratio_tech/threads-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 '{ "profiles": [ "zuck" ] }' | apify call ratio_tech/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ratio_tech/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper", "description": "Scrape public Threads profiles and posts by Meta. Extract follower counts, bios, post text, likes, replies, reposts, and media URLs. Supports bulk profile scraping and keyword search — ideal for social media monitoring, brand research, and content analysis.", "version": "0.1", "x-build-id": "aQgMCxgbsOMl6Mu4B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ratio_tech~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ratio_tech-threads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ratio_tech~threads-scraper/runs": { "post": { "operationId": "runs-sync-ratio_tech-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ratio_tech~threads-scraper/run-sync": { "post": { "operationId": "run-sync-ratio_tech-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "profiles": { "title": "Threads profiles", "type": "array", "description": "List of Threads usernames or profile URLs to scrape (e.g. 'zuck' or 'https://www.threads.net/@zuck'). Each profile's recent posts will be collected up to the 'postsPerProfile' limit.", "default": [ "zuck" ], "items": { "type": "string" } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords or phrases to search on Threads. Returns matching public posts up to the 'resultsPerSearch' limit per term.", "default": [], "items": { "type": "string" } }, "postsPerProfile": { "title": "Posts per profile", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of posts to return for each scraped profile.", "default": 25 }, "resultsPerSearch": { "title": "Results per search term", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of posts to return for each search term.", "default": 25 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. Residential proxies are strongly recommended — Threads aggressively blocks datacenter IPs.", "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 } } } } } } } } } } ```