# ๐Ÿงต Threads Scraper โ€” Profiles, Posts, Replies & Keyword Search (`nominated_tupelo/threads-scraper`) Actor ๐Ÿงต Scrape public Threads profiles, posts, replies, and keyword search โ€” no login, no API key. Get captions, engagement counts, hashtags, mentions, and follower data. Ideal for marketers, researchers, and AI data pipelines. - **URL**: https://apify.com/nominated\_tupelo/threads-scraper.md - **Developed by:** [kade](https://apify.com/nominated_tupelo) (community) - **Categories:** Social media, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 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 ## ๐Ÿงต Threads Scraper โ€” Profiles, Posts, Replies & Keyword Search **Threads Scraper** extracts public data from [Threads (by Meta)](https://www.threads.net/) โ€” **no login, no API key, no Meta developer account**. Give it usernames, a search query, or a post URL and it returns profiles, posts, replies, captions, engagement counts (likes, replies, reposts), hashtags, mentions, follower counts, timestamps, and media URLs as structured JSON. Unlike profile-only Threads actors, this one covers **posts, replies, AND keyword search** in a single Actor. ### Why use Threads Scraper? - **Find and monitor influencers** โ€” pull follower counts and engagement to rank accounts. - **Track brand and topic mentions** โ€” keyword-search Threads for any term. - **Build datasets for analytics or AI** โ€” continuously collect captions, hashtags, and engagement for training or trend analysis. - **Competitive research** โ€” watch competitors' posting cadence and reception. - **Lead generation** โ€” collect public profile data and bio links at scale. ### How it works Uses a headless Firefox browser (Playwright) to load threads.net and acquire session tokens, then queries the internal GraphQL API directly for efficient bulk collection. Residential proxies are recommended for reliability against Meta's bot detection. Rate limits are respected with automatic backoff. ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `profiles` / `posts` / `search` / `replies` | | `usernames` | array | Target usernames (without @) | | `searchQuery` | string | Keyword for search mode | | `postUrl` | string | Full post URL for replies mode | | `maxPosts` | integer | Max posts per user (default 50) | | `maxReplies` | integer | Max replies (default 50) | | `maxSearchResults` | integer | Max search results (default 50) | | `includeProfile` | boolean | Include profile metadata in posts output | | `proxyConfig` | object | Apify proxy config (residential recommended) | #### Example input ```json { "mode": "posts", "usernames": ["zuck", "mark"], "maxPosts": 25, "includeProfile": true, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each dataset item is a `post`, `profile`, or `search_result` record. **Post record:** ```json { "type": "post", "postId": "3456789012345678901", "username": "zuck", "text": "Sharing an update on...", "likeCount": 12345, "replyCount": 567, "repostCount": 89, "hashtags": ["meta", "ai"], "mentions": ["mark"], "timestamp": 1718000000, "mediaUrls": ["https://..."], "url": "https://www.threads.net/@zuck/post/..." } ``` **Profile record:** ```json { "type": "profile", "username": "zuck", "fullName": "Mark Zuckerberg", "bio": "...", "followerCount": 12000000, "followingCount": 800, "isVerified": true, "profilePicUrl": "https://...", "url": "https://www.threads.net/@zuck" } ``` ### Pricing Pay per result at **$0.50 per 1,000 items**. Example: scraping 25 posts each from 100 profiles = 2,500 items โ‰ˆ **$1.25** plus Apify platform compute/proxy usage. No subscription, no minimums โ€” you pay only for what you scrape. ### FAQ **Is this legal?** This Actor accesses only publicly available Threads data. No authentication is bypassed and no login is required. Always comply with applicable data protection laws (GDPR, CCPA) when processing personal data. **Do I need a Meta account or API key?** No. The Actor needs neither. **Why residential proxies?** Meta applies bot detection; residential proxies materially improve reliability and success rate. # Actor input Schema ## `mode` (type: `string`): What to scrape: 'profiles' (profile info), 'posts' (user posts), 'search' (keyword search), 'replies' (replies to a post). ## `usernames` (type: `array`): Threads usernames to scrape (without @). Used in profiles and posts modes. ## `searchQuery` (type: `string`): Keyword to search (used in search mode). ## `postUrl` (type: `string`): Full URL of a Threads post to get replies for (used in replies mode). e.g. https://www.threads.net/@zuck/post/abc123 ## `maxPosts` (type: `integer`): Maximum number of posts to scrape per user. ## `maxReplies` (type: `integer`): Maximum number of replies to scrape in replies mode. ## `maxSearchResults` (type: `integer`): Maximum number of search results to return. ## `includeProfile` (type: `boolean`): When scraping posts, also include the profile metadata for each user. ## `proxyConfig` (type: `object`): Apify proxy settings. Residential proxies recommended for Threads. ## Actor input object example ```json { "mode": "posts", "usernames": [], "maxPosts": 50, "maxReplies": 50, "maxSearchResults": 50, "includeProfile": true, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nominated_tupelo/threads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("nominated_tupelo/threads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nominated_tupelo/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nominated_tupelo/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿงต Threads Scraper โ€” Profiles, Posts, Replies & Keyword Search", "description": "๐Ÿงต Scrape public Threads profiles, posts, replies, and keyword search โ€” no login, no API key. Get captions, engagement counts, hashtags, mentions, and follower data. Ideal for marketers, researchers, and AI data pipelines.", "version": "0.1", "x-build-id": "1GPRSzqmjfFceNgM2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nominated_tupelo~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nominated_tupelo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nominated_tupelo~threads-scraper/runs": { "post": { "operationId": "runs-sync-nominated_tupelo-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nominated_tupelo~threads-scraper/run-sync": { "post": { "operationId": "run-sync-nominated_tupelo-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Scrape mode", "enum": [ "profiles", "posts", "search", "replies" ], "type": "string", "description": "What to scrape: 'profiles' (profile info), 'posts' (user posts), 'search' (keyword search), 'replies' (replies to a post).", "default": "posts" }, "usernames": { "title": "Usernames", "type": "array", "description": "Threads usernames to scrape (without @). Used in profiles and posts modes.", "items": { "type": "string" }, "default": [] }, "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword to search (used in search mode)." }, "postUrl": { "title": "Post URL", "type": "string", "description": "Full URL of a Threads post to get replies for (used in replies mode). e.g. https://www.threads.net/@zuck/post/abc123" }, "maxPosts": { "title": "Max posts per user", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of posts to scrape per user.", "default": 50 }, "maxReplies": { "title": "Max replies", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of replies to scrape in replies mode.", "default": 50 }, "maxSearchResults": { "title": "Max search results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of search results to return.", "default": 50 }, "includeProfile": { "title": "Include profile in posts output", "type": "boolean", "description": "When scraping posts, also include the profile metadata for each user.", "default": true }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Residential proxies recommended for Threads.", "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 } } } } } } } } } } ```