# Threads Scraper — Posts, Profiles, Search & Hashtags (`skipper_lume/threads-scraper`) Actor Scrape Meta Threads: posts, profiles, search, hashtags and replies. Hybrid engine (fast GraphQL + browser fallback). No login needed. Extract text, engagement metrics, media, hashtags and more. - **URL**: https://apify.com/skipper\_lume/threads-scraper.md - **Developed by:** [Max Gor](https://apify.com/skipper_lume) (community) - **Categories:** Social media, SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% 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 ## Threads Scraper — Posts, Profiles, Search & Hashtags Scrape **Meta Threads** without login or API key. Extract posts, profiles, search results, hashtags, and full threads with replies. ### Features - **5 modes** in one actor: profiles, posts, threads, search, and hashtags - **Hybrid engine**: fast GraphQL API requests with automatic Playwright browser fallback - **No login required** — no tokens, no cookies - **Rich data**: text, engagement metrics (likes, replies, reposts), media URLs, hashtags, mentions - **Proxy support** with Apify Proxy (residential recommended) ### Input | Parameter | Type | Description | |-----------|------|-------------| | `mode` | string | `profiles`, `posts`, `thread`, `search`, or `hashtags` | | `profiles` | string[] | Usernames or profile URLs (for `profiles` and `posts` modes) | | `postUrls` | string[] | Post URLs (for `thread` mode) | | `searchQueries` | string[] | Search keywords (for `search` mode) | | `hashtags` | string[] | Hashtag strings (for `hashtags` mode) | | `maxResults` | number | Max results per query/profile (default: 50) | | `proxyConfiguration` | object | Proxy settings | #### Example: Scrape user posts ```json { "mode": "posts", "profiles": ["zuck", "instagram"], "maxResults": 20 } ```` #### Example: Search by keyword ```json { "mode": "search", "searchQueries": ["artificial intelligence", "web scraping"], "maxResults": 50 } ``` #### Example: Get a thread with replies ```json { "mode": "thread", "postUrls": ["https://www.threads.net/t/C8H5FiCtESk"] } ``` #### Example: Hashtag tracking ```json { "mode": "hashtags", "hashtags": ["tech", "ai"], "maxResults": 100 } ``` ### Output #### Posts | Field | Type | Description | |-------|------|-------------| | `id` | string | Threads post ID | | `code` | string | Short code for URL | | `url` | string | Direct link to the post | | `text` | string | Post content | | `username` | string | Author's username | | `userVerified` | boolean | Verified account badge | | `publishedAt` | string | ISO 8601 timestamp | | `likeCount` | number | Number of likes | | `replyCount` | number | Number of replies | | `repostCount` | number | Number of reposts | | `images` | string\[] | Image URLs | | `videos` | string\[] | Video URLs | | `hashtags` | string\[] | Extracted hashtags | | `mentions` | string\[] | Extracted @mentions | | `isReply` | boolean | Whether this is a reply | #### Profiles | Field | Type | Description | |-------|------|-------------| | `username` | string | Threads handle | | `fullName` | string | Display name | | `bio` | string | Profile bio | | `profilePicUrl` | string | Avatar URL | | `followerCount` | number | Followers count | | `followingCount` | number | Following count | | `isVerified` | boolean | Verified badge | | `isPrivate` | boolean | Private account | | `externalUrl` | string | Website link | ### Use Cases | Who | What | |-----|------| | **Social media managers** | Track brand mentions, monitor competitor content | | **Marketers** | Analyze trending hashtags, measure engagement | | **Researchers** | Collect public opinion data, study viral content | | **Journalists** | Monitor public figures, track breaking stories | | **Developers** | Feed Threads data into apps, dashboards, analytics | | **Influencers** | Track engagement metrics, find trending topics | ### How it works 1. **GraphQL layer** (fast, lightweight): Sends direct API requests to Threads' internal GraphQL endpoint — same requests the browser makes. No authentication needed. Works for profiles, posts, and threads. 2. **Playwright fallback** (reliable): If GraphQL is blocked (403/429), automatically launches a headless browser. Also used for **search** and **hashtag** modes which don't have public GraphQL endpoints. 3. **Anti-bot resilience**: User-Agent rotation, request delays, exponential backoff, and Apify Proxy integration. ### Pricing This actor uses a **pay-per-result** model: | Results | Cost | |---------|------| | 1,000 | ~$1.00 | | 10,000 | ~$10.00 | | 100,000 | ~$100.00 | Platform compute costs (memory + time) are additional. Recommended: 1 GB memory for most runs. ### Tips - Use **residential proxies** for best reliability (Apify RESIDENTIAL group) - `search` and `hashtags` modes require a browser, so they use more memory and time - Keep `maxResults` reasonable (50-200) for faster runs - For monitoring, run the actor on a schedule (e.g., hourly hashtag tracking) ### FAQ **Q: Do I need a Threads account?** A: No. All data is scraped from public pages without login. **Q: What proxies should I use?** A: Residential proxies work best. Set Apify Proxy with RESIDENTIAL group in the proxy configuration. **Q: Why are some posts missing text?** A: Image-only or video-only posts may have no text content. The media URLs are still extracted. **Q: Can I monitor a hashtag over time?** A: Yes! Schedule this actor to run hourly/daily with the same hashtag. Compare datasets to track trends. **Q: What's the difference between GraphQL and Playwright modes?** A: GraphQL is faster and cheaper but may get blocked without proxies. Playwright is slower but more reliable. The actor switches automatically. ### Integrations - **Google Sheets** — export directly from Apify - **Webhooks** — trigger on completion - **API** — fetch results programmatically - **Zapier / Make** — automate workflows - **Slack / Email** — get notified on new results ### Limits - Threads may rate-limit or block requests — proxies help significantly - Private profiles return limited data - Search results depend on Threads' ranking algorithm - Media URLs are temporary (CDN links may expire) # Actor input Schema ## `mode` (type: `string`): profiles: get user profile info. posts: get user's posts. thread: get a post + all replies. search: find posts by keyword. hashtags: find posts by hashtag. ## `profiles` (type: `array`): Threads usernames or profile URLs. Used in profiles and posts modes. Example: natgeo, @zuck, https://www.threads.net/@instagram ## `postUrls` (type: `array`): Threads post URLs. Used in thread mode. Example: https://www.threads.net/t/C8H5FiCtESk ## `searchQueries` (type: `array`): Keywords to search for. Used in search mode. ## `hashtags` (type: `array`): Hashtags to scrape (with or without #). Used in hashtags mode. ## `maxResults` (type: `integer`): Maximum number of results per profile/query/hashtag. ## `proxyConfiguration` (type: `object`): Residential proxies recommended for best reliability. Apify Proxy or custom proxy URLs. ## Actor input object example ```json { "mode": "posts", "profiles": [ "zuck" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of scraped Threads data (posts, profiles, replies). # 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" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("skipper_lume/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"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("skipper_lume/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" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call skipper_lume/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=skipper_lume/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper — Posts, Profiles, Search & Hashtags", "description": "Scrape Meta Threads: posts, profiles, search, hashtags and replies. Hybrid engine (fast GraphQL + browser fallback). No login needed. Extract text, engagement metrics, media, hashtags and more.", "version": "1.0", "x-build-id": "cIyQLSI1j7wSyVmZv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/skipper_lume~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-skipper_lume-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/skipper_lume~threads-scraper/runs": { "post": { "operationId": "runs-sync-skipper_lume-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/skipper_lume~threads-scraper/run-sync": { "post": { "operationId": "run-sync-skipper_lume-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "profiles", "posts", "thread", "search", "hashtags" ], "type": "string", "description": "profiles: get user profile info. posts: get user's posts. thread: get a post + all replies. search: find posts by keyword. hashtags: find posts by hashtag.", "default": "posts" }, "profiles": { "title": "Profiles / Usernames", "type": "array", "description": "Threads usernames or profile URLs. Used in profiles and posts modes. Example: natgeo, @zuck, https://www.threads.net/@instagram", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Threads post URLs. Used in thread mode. Example: https://www.threads.net/t/C8H5FiCtESk", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search for. Used in search mode.", "items": { "type": "string" } }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape (with or without #). Used in hashtags mode.", "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of results per profile/query/hashtag.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies recommended for best reliability. Apify Proxy or custom proxy URLs." } } }, "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 } } } } } } } } } } ```