# Threads Post Scraper (`sinam7/threads-post-scraper`) Actor Scrape Threads posts and comments, post author only. - **URL**: https://apify.com/sinam7/threads-post-scraper.md - **Developed by:** [sinam7](https://apify.com/sinam7) (community) - **Categories:** Social media, Automation - **Stats:** 96 total users, 14 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0015 / result 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 Post Scraper Scrape Threads posts and comments from a single post URL. Filters out profile images and recommended posts, returning only the original post and its related replies. ### What this actor does - Accepts a single Threads post URL - Extracts post content, author info, timestamps, images, and comments - Automatically filters out: - Profile thumbnails (s150x150, s42x42) - Unrelated recommended posts from Threads feed - Returns only posts from the original author or replies to the original post ### Input #### Example input ```json { "url": "https://www.threads.net/@username/post/ABC123" } ```` #### Input fields | Field | Type | Required | Notes | |-------|------|----------|-------| | url | string | Yes | Full Threads post URL (e.g., https://www.threads.net/@username/post/ABC123) | ### Output The actor outputs an array of post objects to the dataset. #### Example output item ```json [ { "authorId": "/@hyle_edu.kr", "authorName": null, "content": "hyle_edu.kr\nDesign Threads\nCursor 디자인 총괄이 말아주는(낋여주는) 스타트업 랜딩 페이지 리뷰 영상\nUI/UX 디자이너분들께 실전 레이아웃·카피 피드백이 꽤 도움 될 것 같습니다.\n5가지 핵심 교훈:\n1) 첫 화면에서 한 줄로 정체를 밝혀라.\n2) 누구를 위한 제품인지 콕 집어 말해라.\n3) 한 화면에 CTA는 딱 하나만 둬라.\n4) 보라 그라디언트·AI 템플릿 느낌을 버려라.\n5) 말로 돌리지 말고, 바로 데모를 보여줘라.  \nTranslate", "timestamp": "2025-11-27T08:04:22.000Z", "images": [ "https://scontent-iad3-2.cdninstagram.com/v/t51.2885-15/588000954_17852930637589530_3115163017750846664_n.jpg?stp=dst-jpg_e35_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InRocmVhZHMuRkVFRC5pbWFnZV91cmxnZW4uMjE2MHgxMjA2LnNkci5mODI3ODcuZGVmYXVsdF9pbWFnZS5jMiJ9&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=106&_nc_oc=Q6cZ2QHgrxrOBEi_eqXMrmfiDdX3j_o7E4JnDU2yJd9VGNapB_a-senBjgZIZW_Il9lVgJI&_nc_ohc=WeCMxiN7Zc4Q7kNvwGggxko&_nc_gid=CZmmu7zoN4syiEHB2bNy1A&edm=APs17CUBAAAA&ccb=7-5&ig_cache_key=Mzc3NDk2Mjg2NDU1NDcxNzQwMg%3D%3D.3-ccb7-5&oh=00_Afm3SeH-ljp6D7EhRYx0phszFpE84lTMXT6l5lDUhMFC8Q&oe=69360721&_nc_sid=10d13b" ], "postUrl": "https://www.threads.net/@hyle_edu.kr/post/DRjXLmGEzDa", "isOriginalAuthor": true }, { "authorId": "/@hyle_edu.kr", "authorName": null, "content": "hyle_edu.kr\nDesign Threads\nAuthor\nyoutube.com/watch…\nyoutube.com\nCursor Head of Design Reviews Startup Websites", "timestamp": "2025-11-27T08:04:27.000Z", "images": [ "https://external-iad3-1.xx.fbcdn.net/emg1/v/t13/4510717797100347293?stp=dst-src&url=https%3A%2F%2Fi.ytimg.com%2Fvi%2FRynySryqM_0%2Fmaxresdefault.jpg&utld=ytimg.com&_nc_gid=CZmmu7zoN4syiEHB2bNy1A&_nc_oc=AdnnBnpQiJ-ImFHLB1zQ6KdkwE3eYgejFX751eNz-RdBMIC6qxpnkF8Fk2HROXnpQZk&ccb=13-1&oh=06_Q3-5AXm8t92Bc1cF_D9RD01869Pwh9uLvqptfXeRGYMGpgoL&oe=6931F0AD&_nc_sid=1d65fc" ], "postUrl": "https://www.threads.net/@hyle_edu.kr/post/DRjXMNbE5Ds", "isOriginalAuthor": true } ] ``` #### Output fields | Field | Type | Description | |-------|------|-------------| | authorId | string | Author's Threads ID (e.g., "/@username") | | authorName | string|null | Author's display name (often null in current implementation) | | content | string | Post text content, newline-separated | | timestamp | string | ISO 8601 timestamp | | images | string\[] | Array of image URLs (excludes profile pictures) | | postUrl | string | Full URL to the post | | isOriginalAuthor | boolean | Whether this post is from the original thread author | ### Features #### Smart filtering **Profile image exclusion**: Automatically removes profile thumbnails by detecting thumbnail size patterns (s150x150, s42x42) in URLs. **Feed recommendation filtering**: Threads shows recommended posts mixed with replies. This actor filters them out by: - Identifying the original post author from the URL - Keeping only posts from that author or replies to their posts - Excluding unrelated recommended content #### Stable selectors Uses DOM attributes that are less likely to change: - `div[data-pressable-container="true"]` for post containers - `a[href^="/@"]` for author links - `time` elements for timestamps - `span[dir="auto"]` for text content Avoids obfuscated React Native class names like `x1lliihq` that change frequently. ### Usage #### Via Apify Console 1. Open the actor in Apify Console 2. Click **Run** 3. Enter a Threads post URL in the input 4. Start the run 5. View results in the **Dataset** tab #### Via API ##### Start a run ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN&waitForFinish=120" \ -H "Content-Type: application/json" \ -d '{ "url": "https://www.threads.net/@username/post/ABC123" }' ``` The `waitForFinish=120` parameter makes the request wait up to 120 seconds for results (synchronous mode). ##### Fetch results from dataset ```bash curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_TOKEN" ``` #### Integration with n8n This actor is designed to work with n8n Cloud via a sub-workflow: 1. **HTTP Request** node calls the actor 2. **HTTP Request** node fetches results from the dataset 3. Results are passed to AI for summarization See the [blog post](https://sinam7.tistory.com) for detailed n8n integration guide. ### Limitations - **Public content only**: No login/cookies support - **DOM structure dependency**: Threads may change their HTML structure at any time - **Rate limiting**: Respect Apify's rate limits and Threads' terms of service - **No pagination**: Fetches only initially loaded comments (typically first 10-20) ### Notes - The actor waits 3 seconds after page load to ensure dynamic content is rendered - `authorName` is often null because Threads stores author names in complex nested structures - Image URLs are CDN links that may expire after some time - This actor is optimized for single post scraping, not bulk operations - Update the size filters (s150x150, s42x42) in the code # Actor input Schema ## `url` (type: `string`): Threads post url to scrape ## Actor input object example ```json { "url": "https://www.threads.net/@username/post/xxxxx" } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "url": "https://www.threads.net/@username/post/xxxxx" }; // Run the Actor and wait for it to finish const run = await client.actor("sinam7/threads-post-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 = { "url": "https://www.threads.net/@username/post/xxxxx" } # Run the Actor and wait for it to finish run = client.actor("sinam7/threads-post-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 '{ "url": "https://www.threads.net/@username/post/xxxxx" }' | apify call sinam7/threads-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sinam7/threads-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Post Scraper", "description": "Scrape Threads posts and comments, post author only.", "version": "0.0", "x-build-id": "Dk7JhUGJ95XcmMUfD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sinam7~threads-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sinam7-threads-post-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/sinam7~threads-post-scraper/runs": { "post": { "operationId": "runs-sync-sinam7-threads-post-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/sinam7~threads-post-scraper/run-sync": { "post": { "operationId": "run-sync-sinam7-threads-post-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": [ "url" ], "properties": { "url": { "title": "Threads URL", "type": "string", "description": "Threads post url to scrape" } } }, "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 } } } } } } } } } } ```