# Threads Posts Scraper (`seemuapps/threads-posts-scraper`) Actor Scrape posts from any public Threads profile. Get full text, media URLs, engagement counts, and author info. No login required. - **URL**: https://apify.com/seemuapps/threads-posts-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 Posts Scraper Extract posts from any public Threads profile. Get full text, media URLs, engagement counts, and author details. No login required. ### What you get One row per post from the user's Threads timeline: - `postId`, `code`, `url` — direct link to the post on threads.net - `text` — full post caption - `publishedAt` — ISO timestamp - `likeCount`, `replyCount`, `repostCount`, `quoteCount`, `viewsCount` — full engagement - `isQuotePost`, `hasMedia`, `mediaUrls`, `mediaType` (image, video, carousel, text) - `authorUsername`, `authorDisplayName`, `authorVerified`, `authorProfilePic` - `scrapedAt` Plus a separate **profile** record (in the Key-value store) for the queried account: - `username`, `userId`, `displayName`, `bio`, `verified` - `followerCount`, `profilePicUrl`, `externalLink`, `isPrivate` ### Use cases - **Content monitoring** — track a creator's or brand's Threads activity - **Competitor analysis** — measure posting cadence and engagement - **Lead generation** — pull profile data and external link from public creator accounts - **LLM / RAG ingestion** — clean post text + author metadata for AI pipelines - **Audience research** — see which posts drive the most likes, replies, and reposts ### How to use 1. Enter the **Username** (with or without `@`) — for example `zuck` or `@zuck` 2. Set **Max Items** — default 50, or 0 for unlimited 3. Run the actor — posts appear in the **Dataset** tab 4. Open the **Key-value store** tab to find the `PROFILE` record (profile metadata) 5. To check whether more pages exist, look at `NEXT_PAGE_ID` in the Key-value store > After the run finishes, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched everything. ### Output format **Post row:** ```json { "postId": "3141592653589793238", "code": "C7abcXYZ", "url": "https://www.threads.net/@zuck/post/C7abcXYZ", "text": "Just shipped a new feature on Threads", "publishedAt": "2026-05-20T14:30:12.000Z", "likeCount": 12345, "replyCount": 678, "repostCount": 200, "quoteCount": 45, "viewsCount": 250000, "isQuotePost": false, "hasMedia": true, "mediaUrls": ["https://scontent.cdninstagram.com/..."], "mediaType": "image", "authorUsername": "zuck", "authorDisplayName": "Mark Zuckerberg", "authorVerified": true, "authorProfilePic": "https://scontent.cdninstagram.com/...", "scrapedAt": "2026-05-27T10:00:00.000Z" } ```` **Profile record (Key-value store `PROFILE`):** ```json { "username": "zuck", "userId": "314216", "displayName": "Mark Zuckerberg", "bio": "...", "verified": true, "followerCount": 15000000, "profilePicUrl": "https://scontent.cdninstagram.com/...", "externalLink": "https://meta.com", "isPrivate": false } ``` # Actor input Schema ## `username` (type: `string`): Threads username, with or without leading @. Examples: 'zuck', '@zuck'. ## `maxItems` (type: `integer`): Maximum posts to return. Set 0 for unlimited (stops ~60s before actor timeout). ## `pageId` (type: `string`): Optional. Paste NEXT\_PAGE\_ID from the previous run's Key-value store to resume. ## Actor input object example ```json { "username": "zuck", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): One row per post: postId, code, url, text, publishedAt, like/reply/repost/quote counts, viewsCount, isQuotePost, hasMedia, mediaUrls, mediaType, and author fields. ## `profile` (type: `string`): PROFILE record in the default key-value store. Contains username, userId, displayName, bio, verified, followerCount, profilePicUrl, externalLink, isPrivate. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the timeline is exhausted. # 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 = { "username": "zuck" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/threads-posts-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 = { "username": "zuck" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/threads-posts-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 '{ "username": "zuck" }' | apify call seemuapps/threads-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/threads-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Posts Scraper", "description": "Scrape posts from any public Threads profile. Get full text, media URLs, engagement counts, and author info. No login required.", "version": "1.0", "x-build-id": "fVXmqRrcfl9FKpGHF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~threads-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-threads-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~threads-posts-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-threads-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~threads-posts-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-threads-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Username", "type": "string", "description": "Threads username, with or without leading @. Examples: 'zuck', '@zuck'." }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum posts to return. Set 0 for unlimited (stops ~60s before actor timeout).", "default": 50 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to resume." } } }, "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 } } } } } } } } } } ```