# Threads Scraper (`sourabhbgp/threads-scraper`) Actor - **URL**: https://apify.com/sourabhbgp/threads-scraper.md - **Developed by:** [Sourabh Kumar](https://apify.com/sourabhbgp) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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 — 100 Free | Profiles, Posts, Search & Replies Scrape Meta Threads profiles, posts, search results, and replies. Extract follower counts, engagement metrics (likes, reposts, quotes), images, and timestamps. HTTP-only, fast, reliable. The only all-in-one Threads scraper on Apify. ### 💰 Pricing - **100 free results** — lifetime, no credit card needed - After that: **$2 per 1,000 results** (pay-per-event) - Profile mode: 1 result = 1 full profile with posts - Posts/Search/Replies mode: 1 result = 1 post or reply | Results | Cost | |---------|------| | 100 | Free | | 1,000 | $2 | | 10,000 | $20 | | 100,000 | $200 | ### 🔍 What can you scrape? #### Profile Mode - Username, full name, bio, follower count - Verified status, profile picture URL - Recent posts with engagement metrics #### Posts Mode - Individual posts from a user's feed - Text content, likes, reposts, quotes, reply counts - Image URLs, timestamps, direct post URLs #### Search Mode - Find posts by keyword across all of Threads - Post text, engagement metrics, author info #### Replies Mode - Extract replies/comments on a specific post - Parent post + all server-rendered replies ### 📥 Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `urls` | string[] | `["https://www.threads.com/@zuck"]` | URLs, @usernames, or search keywords | | `mode` | enum | auto-detect | Override: `profile`, `posts`, `search`, `replies` | | `maxResults` | integer | 50 | Max results. 0 = unlimited | #### Auto-Detection - `https://threads.com/@zuck` → profile - `https://threads.com/@zuck/post/ABC123` → replies - `@username` or `username` → profile - `AI startups` → search #### Example Input ```json { "urls": ["@zuck", "@instagram"], "mode": "profile", "maxResults": 10 } ```` ### 📤 Output #### Profile Record ```json { "type": "profile", "username": "zuck", "fullName": "Mark Zuckerberg", "bio": "Mostly superintelligence and MMA takes", "followerCount": 5453639, "isVerified": true, "profilePicUrl": "https://...", "posts": [...], "scrapedAt": "2026-04-06T12:00:00Z", "url": "https://www.threads.com/@zuck" } ``` #### Post Record ```json { "type": "post", "username": "zuck", "postCode": "DVrwsE5EdSz", "text": "Post text here...", "likeCount": 12345, "repostCount": 678, "quoteCount": 90, "replyCount": 456, "postedAt": "2026-04-05T14:30:00Z", "imageUrls": ["https://..."], "postUrl": "https://www.threads.com/@zuck/post/DVrwsE5EdSz", "scrapedAt": "2026-04-06T12:00:00Z" } ``` ### 💡 Use Cases - **Social media monitoring** — Track brand mentions and competitor activity - **Influencer research** — Analyze engagement rates and content strategies - **Content curation** — Find trending posts by topic - **Market research** — Monitor industry conversations and sentiment - **Lead generation** — Identify active users in your niche - **Academic research** — Study social media engagement patterns ### ⚡ Tips - Combine multiple usernames in one run for bulk scraping - Use search mode to discover relevant accounts, then scrape their profiles - The actor auto-detects mode from URLs — just paste Threads links - Empty input defaults to @zuck profile (for Apify daily health checks) - Replies mode extracts server-rendered replies (typically 5-15 per post) # Actor input Schema ## `urls` (type: `array`): Threads URLs, @usernames, or search keywords. Mode is auto-detected. Examples: https://www.threads.com/@zuck, @instagram, AI startups ## `mode` (type: `string`): Override auto-detection. Leave empty to auto-detect from URL. ## `maxResults` (type: `integer`): Maximum number of results to return. 0 = unlimited. ## Actor input object example ```json { "urls": [ "https://www.threads.com/@zuck" ], "maxResults": 50 } ``` # Actor output Schema ## `results` (type: `string`): Scraped Threads data. # 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 = { "urls": [ "https://www.threads.com/@zuck" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sourabhbgp/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 = { "urls": ["https://www.threads.com/@zuck"] } # Run the Actor and wait for it to finish run = client.actor("sourabhbgp/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 '{ "urls": [ "https://www.threads.com/@zuck" ] }' | apify call sourabhbgp/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sourabhbgp/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper", "version": "0.0", "x-build-id": "T58KzBXddAEicJTzi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sourabhbgp~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sourabhbgp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sourabhbgp~threads-scraper/runs": { "post": { "operationId": "runs-sync-sourabhbgp-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sourabhbgp~threads-scraper/run-sync": { "post": { "operationId": "run-sync-sourabhbgp-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs, Usernames, or Search Keywords", "type": "array", "description": "Threads URLs, @usernames, or search keywords. Mode is auto-detected. Examples: https://www.threads.com/@zuck, @instagram, AI startups", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "profile", "posts", "search", "replies" ], "type": "string", "description": "Override auto-detection. Leave empty to auto-detect from URL." }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of results to return. 0 = unlimited.", "default": 50 } } }, "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 } } } } } } } } } } ```