# Threads Profile Scraper (`lazyscraper/threads-profile-scraper`) Actor Scrape Threads profiles and posts. Extract Bio, User ID, Full Name, Follower Count, Profile Picture — plus post content, like/reply/repost counts, and timestamps. Key Advantage: Accurate follower counts – a metric most competitors fail to provide. - **URL**: https://apify.com/lazyscraper/threads-profile-scraper.md - **Developed by:** [Lazy Scraper](https://apify.com/lazyscraper) (community) - **Categories:** Social media, Lead generation - **Stats:** 7 total users, 5 monthly users, 100.0% runs succeeded, 5 bookmarks - **User rating**: No ratings yet ## Pricing from $4.50 / 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 Profile & Posts Scraper ### What is Threads Profile & Posts Scraper? A specialized data extraction tool that retrieves structured profile and post data from Threads accounts using: - **Usernames** (e.g. `@lilbieber`, `@joemanweng`) Captures **publicly available data** including profile details, audience metrics, and post engagement — with precise follower counts that most competitors fail to provide reliably. ### Why Scrape Threads Profiles? Collected data enables: - 📩 **Lead Generation** from public profile information - ✅ **Influencer Vetting** with verified follower metrics - 🔍 **Competitor Analysis** through bio and post content patterns - 📊 **Engagement Research** via like, reply, and repost counts - 🚫 **Fake Account Identification** ### Key Features | Feature | Description | |---------|-------------| | **Profile Extraction** | Full Name, Username, Bio, User ID, Profile Picture URL | | **Verified Follower Metrics** | Accurate follower counts for public accounts | | **Post Data Collection** | Content, timestamps, like/reply/repost counts, post URLs | | **Replies Collection** | Nested replies under each post with full engagement data | | **Structured Exports** | JSON, CSV, Excel, XML formats | | **Multi-Account Support** | Scrape multiple usernames in a single run | | **Compliance Focused** | Strict adherence to Threads' public data policies | ### Output Data Structure > **Note:** The sample below has been trimmed for readability — in practice, each account may return significantly more posts and replies depending on the account's activity level. ```json [ { "username": "lilbieber", "profile": { "pk": "67027868801", "username": "lilbieber", "full_name": "Justin Bieber", "biography": "", "follower_count": 15474288, "is_verified": true, "profile_pic_url": "https://scontent.cdninstagram.com/..." }, "total_threads": 4, "total_replies": 87, "threads": [ { "id": "3880572356579202158_67027868801", "username": "lilbieber", "text": "skylrk paradise", "like_count": 10582, "reply_count": 135, "repost_count": 468, "created_at": "2026-04-22T01:11:35Z", "url": "https://www.threads.com/@lilbieber/post/DXaj_-HGpRu", "replies": [ { "id": "3880578695447101518_67652599985", "username": "n_ys_m", "text": "JB Please come to Taiwan on your world tour!!", "like_count": 40, "reply_count": 0, "repost_count": 0, "created_at": "2026-04-22T01:24:11Z", "url": "https://www.threads.com/@n_ys_m/post/DXalcNpEsBO", "in_reply_to_id": "3880572356579202158_67027868801", "in_reply_to_url": "https://www.threads.com/@lilbieber/post/DXaj_-HGpRu" } ] } ] }, { "username": "joemanweng", "profile": { "pk": "63441725658", "username": "joemanweng", "full_name": "Joeman 九妹", "biography": "台灣Youtuber\nINFP 短髮控", "follower_count": 383236, "is_verified": true, "profile_pic_url": "https://scontent.cdninstagram.com/..." }, "total_threads": 18, "total_replies": 351, "threads": [ { "id": "3857491285318275279_63441725658", "username": "joemanweng", "text": "脆為什麼這麼好看？因為本質上它就是一台免費的多巴胺拉霸機", "like_count": 14890, "reply_count": 173, "repost_count": 555, "created_at": "2026-03-21T04:53:37Z", "url": "https://www.threads.com/@joemanweng/post/DWIj-LZj5DP", "replies": [ { "id": "3857550301860176365_68765111426", "username": "drtai.casual", "text": "中醫師路過，數位斷捨離以後，提升多巴胺的方法：...", "like_count": 1762, "reply_count": 4, "repost_count": 93, "created_at": "2026-03-21T06:50:52Z", "url": "https://www.threads.com/@drtai.casual/post/DWIxY-1k6Ht", "in_reply_to_id": "3857491285318275279_63441725658", "in_reply_to_url": "https://www.threads.com/@joemanweng/post/DWIj-LZj5DP" } ] } ] } ] ```` # Actor input Schema ## `usernames` (type: `array`): List of Threads usernames to scrape (without @). Add multiple to scrape in bulk. ## Actor input object example ```json { "usernames": [ "lilbieber", "joemanweng" ] } ``` # 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": [ "lilbieber", "joemanweng" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lazyscraper/threads-profile-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": [ "lilbieber", "joemanweng", ] } # Run the Actor and wait for it to finish run = client.actor("lazyscraper/threads-profile-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": [ "lilbieber", "joemanweng" ] }' | apify call lazyscraper/threads-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lazyscraper/threads-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Profile Scraper", "description": "Scrape Threads profiles and posts. Extract Bio, User ID, Full Name, Follower Count, Profile Picture — plus post content, like/reply/repost counts, and timestamps.\nKey Advantage: Accurate follower counts – a metric most competitors fail to provide.", "version": "0.0", "x-build-id": "xbkWNGLbagcVDgSrD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lazyscraper~threads-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lazyscraper-threads-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lazyscraper~threads-profile-scraper/runs": { "post": { "operationId": "runs-sync-lazyscraper-threads-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lazyscraper~threads-profile-scraper/run-sync": { "post": { "operationId": "run-sync-lazyscraper-threads-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames" ], "properties": { "usernames": { "title": "Threads account usernames", "type": "array", "description": "List of Threads usernames to scrape (without @). Add multiple to scrape in bulk.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```