# Threads Scraper — Posts, Profiles & Replies (`bovi/threads-posts-scraper`) Actor Scrape Meta Threads posts by username or keyword. Returns post text, author handle, timestamp, like/reply/repost counts, media URLs, post URL/code, and ID. No login required. - **URL**: https://apify.com/bovi/threads-posts-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.43 / 1,000 posts This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 — Posts, Profiles, Replies | from $1.50/1K Scrape **Meta Threads** posts by username or keyword — no login, no API key, just results. ### What you get | Field | Description | |---|---| | `post_id` | Unique numeric post ID | | `code` | Short code (appears in post URL) | | `post_url` | Direct link to the post | | `author_username` | Author's handle | | `author_id` | Numeric author ID | | `author_verified` | Verified badge | | `text` | Full post text | | `taken_at` | Posted timestamp (ISO-8601 UTC) | | `like_count` | Number of likes | | `reply_count` | Number of replies | | `repost_count` | Number of reposts | | `quote_count` | Number of quotes | | `is_reply` | Whether this is a reply to another post | | `reply_to_username` | Who this post replies to (if applicable) | | `media_urls` | List of image/video URLs | | `media_types` | Media type per URL (image/video/carousel_image) | | `has_media` | Quick boolean — does this post have media? | | `link_preview_url` | External URL if the post has a link preview | ### Modes #### User mode (default) Scrapes the latest posts from a specific Threads profile. - Returns up to 25 most recent posts - Input: `username` (e.g. `zuck`) #### Keyword mode Searches Threads for posts matching a keyword or phrase. - Returns 10–30 results from Threads search - Reply/repost counts included - Input: `keyword` (e.g. `AI tools`, `python tutorial`) ### Pricing Pay-per-result: **$1.50 per 1,000 posts**. You only pay for posts actually returned. ### Technical notes - **No authentication required** — uses Threads' public web surface - **Rung 1 access** — embedded GraphQL/relay JSON, no HTML parsing - **Residential proxy** recommended for best reliability (included via Apify proxy) - User mode: calls `POST /api/graphql` with the public session token extracted from the page - Keyword mode: parses the embedded Relay preloader from the search results page ### Limitations - User mode returns up to ~25 most recent posts per profile (Threads API limit on public endpoint) - Keyword mode returns what Threads surfaces on the search page (10–30 posts) - Private profiles return 0 posts (as expected — no login) - Reply/repost counts are populated in keyword mode; in user mode they are 0 unless the post detail page is fetched separately # Actor input Schema ## `username` (type: `string`): Threads username to scrape posts from (e.g. 'zuck' or '@zuck'). Used when mode is 'user'. Returns up to 25 most recent posts. ## `keyword` (type: `string`): Search keyword or phrase to find posts about (e.g. 'AI tools', 'python tutorial'). Used when mode is 'keyword'. ## `mode` (type: `string`): Choose 'user' to scrape a profile's posts, or 'keyword' to search by topic. ## `maxItems` (type: `integer`): Maximum number of posts to return. Default 50. User mode caps at ~25 per profile; keyword mode returns what the search page provides (typically 10–30). ## `proxyConfiguration` (type: `object`): Proxy settings. Threads may block datacenter IPs; Apify Residential proxy improves reliability. Leave as-is for the default RESIDENTIAL configuration. ## Actor input object example ```json { "username": "zuck", "keyword": "AI tools", "mode": "user", "maxItems": 50, "proxyConfiguration": { "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 = { "username": "zuck", "keyword": "AI tools", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/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", "keyword": "AI tools", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/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", "keyword": "AI tools", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/threads-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/threads-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper — Posts, Profiles & Replies", "description": "Scrape Meta Threads posts by username or keyword. Returns post text, author handle, timestamp, like/reply/repost counts, media URLs, post URL/code, and ID. No login required.", "version": "0.1", "x-build-id": "8XrGJS8GsUw1OqMJL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~threads-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~threads-posts-scraper/runs": { "post": { "operationId": "runs-sync-bovi-threads-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~threads-posts-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-threads-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "username": { "title": "Username", "type": "string", "description": "Threads username to scrape posts from (e.g. 'zuck' or '@zuck'). Used when mode is 'user'. Returns up to 25 most recent posts." }, "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword or phrase to find posts about (e.g. 'AI tools', 'python tutorial'). Used when mode is 'keyword'." }, "mode": { "title": "Scraping mode", "enum": [ "user", "keyword" ], "type": "string", "description": "Choose 'user' to scrape a profile's posts, or 'keyword' to search by topic.", "default": "user" }, "maxItems": { "title": "Max posts to scrape", "minimum": 1, "type": "integer", "description": "Maximum number of posts to return. Default 50. User mode caps at ~25 per profile; keyword mode returns what the search page provides (typically 10–30).", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Threads may block datacenter IPs; Apify Residential proxy improves reliability. Leave as-is for the default RESIDENTIAL configuration.", "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 } } } } } } } } } } ```