# Threads Scraper (`sheshinmcfly/threads-scraper`) Actor Search Threads posts by profile, keyword, or post URL with full engagement counts (likes, replies, reposts, quotes), author profiles, media, and reply threads. No login or API key needed -- get structured data ready for social listening, competitor tracking, or trend research. - **URL**: https://apify.com/sheshinmcfly/threads-scraper.md - **Developed by:** [Sheshinmcfly](https://apify.com/sheshinmcfly) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $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 Search Threads posts by profile, keyword, or post URL — full engagement counts (likes, replies, reposts, quotes), author profiles, media, and reply threads. No login, no account, no API key. Get structured data ready for social listening, competitor tracking, or trend research on Meta's Threads platform. ### How to use 1. Choose a **Data type**: profile (recent posts from specific accounts), search (posts matching a keyword), or post (a specific post plus its visible replies). 2. For profile, add one or more **usernames** (without the @). 3. For search, add one or more **search queries**. 4. For post, add one or more **post URLs**. 5. Set **max results per profile/search** and run. Profile mode returns each account's profile summary plus posts, replies, and media in one pass. ### Use cases - **Social listening:** track what's being said about a brand, product, or topic on Threads. - **Competitor tracking:** monitor a competitor's posting activity and engagement. - **Trend research:** search any keyword and see real-time post volume and sentiment. - **Thread analysis:** pull a full reply thread to analyze audience reactions to a specific post. ### Output example ```json { "recordType": "post", "id": "3937491905269768921", "code": "DakyAavlKLZ", "url": "https://www.threads.net/@zuck/post/DakyAavlKLZ", "text": "Today we're releasing a new model...", "createdAt": "2026-07-09T14:00:34+00:00", "likeCount": 2766, "replyCount": 612, "repostCount": 189, "quoteCount": 62, "authorUsername": "zuck", "authorFullName": "Mark Zuckerberg", "authorIsVerified": true } ```` ### Performance & cost Fast, structured results — no long waits for large jobs. ### Pricing This actor uses **pay-per-result** pricing — you are charged per post returned. See the pricing shown on the actor page. ### Keywords threads scraper, threads api, threads posts scraper, meta threads data, threads search scraper, social media scraper, threads engagement data, threads reply scraper ### Related actors - [StockTwits Scraper](https://apify.com/sheshinmcfly/stocktwits-scraper) - [Reddit Thread Scraper](https://apify.com/sheshinmcfly/reddit-thread-scraper) - [Polymarket Scraper](https://apify.com/sheshinmcfly/polymarket-scraper) ### Disclaimer This actor collects only publicly available post data from Threads. Use the data in compliance with the applicable terms and with data-protection laws in your jurisdiction. ### Changelog | Version | Date | Changes | |---|---|---| | 1.0 | 2026-07-14 | Initial release — profile posts, search, and post threads with full engagement data | # Actor input Schema ## `dataType` (type: `string`): What to scrape: profile (recent posts from specific accounts), search (posts matching a keyword), or post (a specific post plus its visible replies). ## `usernames` (type: `array`): Threads usernames to fetch recent posts from, without the @ (e.g. "zuck"). Required when Data type is Profile. ## `searchQueries` (type: `array`): Keywords to search Threads for. Required when Data type is Search. ## `postUrls` (type: `array`): Full Threads post URLs (e.g. "https://www.threads.net/@zuck/post/ABC123"). Required when Data type is Post. ## `maxResultsPerQuery` (type: `integer`): Maximum number of posts to return per username or search query. Only applies to Profile and Search data types (Post always returns the full visible thread). ## Actor input object example ```json { "dataType": "profile", "usernames": [ "zuck" ], "maxResultsPerQuery": 50 } ``` # Actor output Schema ## `dataset` (type: `string`): All extracted post records. # 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 = { "usernames": [ "zuck" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sheshinmcfly/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 = { "usernames": ["zuck"] } # Run the Actor and wait for it to finish run = client.actor("sheshinmcfly/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 '{ "usernames": [ "zuck" ] }' | apify call sheshinmcfly/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sheshinmcfly/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper", "description": "Search Threads posts by profile, keyword, or post URL with full engagement counts (likes, replies, reposts, quotes), author profiles, media, and reply threads. No login or API key needed -- get structured data ready for social listening, competitor tracking, or trend research.", "version": "1.0", "x-build-id": "fCeuQ9C0btkk9jMmq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sheshinmcfly~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sheshinmcfly-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sheshinmcfly~threads-scraper/runs": { "post": { "operationId": "runs-sync-sheshinmcfly-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sheshinmcfly~threads-scraper/run-sync": { "post": { "operationId": "run-sync-sheshinmcfly-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "dataType" ], "properties": { "dataType": { "title": "Data type", "enum": [ "profile", "search", "post" ], "type": "string", "description": "What to scrape: profile (recent posts from specific accounts), search (posts matching a keyword), or post (a specific post plus its visible replies).", "default": "profile" }, "usernames": { "title": "Usernames", "type": "array", "description": "Threads usernames to fetch recent posts from, without the @ (e.g. \"zuck\"). Required when Data type is Profile.", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search Threads for. Required when Data type is Search.", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Full Threads post URLs (e.g. \"https://www.threads.net/@zuck/post/ABC123\"). Required when Data type is Post.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max results per profile/search", "minimum": 1, "type": "integer", "description": "Maximum number of posts to return per username or search query. Only applies to Profile and Search data types (Post always returns the full visible thread).", "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 } } } } } } } } } } ```