# Meta threads scraper (`curious_coder/threads-scraper`) Actor Scrape threads or posts from meta or instagram's new social media website "threads.net" - **URL**: https://apify.com/curious\_coder/threads-scraper.md - **Developed by:** [Curious Coder](https://apify.com/curious_coder) (community) - **Categories:** Social media - **Stats:** 1,126 total users, 8 monthly users, 100.0% runs succeeded, 39 bookmarks - **User rating**: 1.71 out of 5 stars ## Pricing $30.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 This scraper helps you to scrape posts by a threads user Here is the sample output of this actor: ```json { "id": "3141737961795561608_314216", "reply_count": "27068", "user": { "profile_pic_url": "https://scontent.cdninstagram.com/v/t51.2885-19/357376107_1330597350674698_8884059223384672080_n.jpg?stp=dst-jpg_s150x150&_nc_ht=scontent.cdninstagram.com&_nc_cat=1&_nc_ohc=euIj8dtTGIkAX-vea85&edm=APs17CUBAAAA&ccb=7-5&oh=00_AfCOXYuDeJ_OxBW9ZYSdlTfCIXdP9NBqDoMVS5rk39mEHA&oe=64ACDDC0&_nc_sid=10d13b", "username": "zuck", "id": null, "is_verified": true, "pk": "314216" }, "image_versions2": { "candidates": [] }, "original_width": 612, "original_height": 612, "video_versions": [], "carousel_media": null, "carousel_media_count": null, "pk": "3141737961795561608", "has_audio": null, "text_post_app_info": { "link_preview_attachment": null, "share_info": { "quoted_post": null, "reposted_post": null }, "reply_to_author": null, "is_post_unavailable": false }, "caption": { "text": "70 million sign ups on Threads as of this morning. Way beyond our expectations." }, "taken_at": 1688744372, "like_count": 146411, "code": "CuZsgfWLyiI", "media_overlay_info": null } ```` ### Documentation for JSON Data The given JSON data represents an threads post with various associated attributes. Below is a breakdown of the individual components and their descriptions: ### Main Object - **id**: The unique identifier for the post. - *Type*: String - *Example*: "3141737961795561608\_314216" - **reply\_count**: The total number of replies for this post. - *Type*: String - *Example*: "27068" - **user**: The user who created the post. This contains several sub-fields: - **profile\_pic\_url**: The URL of the user's profile picture. - *Example*: A direct link to the image. - **username**: The username of the user. - *Example*: "zuck" - **id**: The unique identifier for the user. (Can be null) - **is\_verified**: A boolean value indicating if the user is verified. - **pk**: A unique key representing the user. - *Type*: String - *Example*: "314216" - **image\_versions2**: An object that lists image versions available for the post. - **candidates**: An array containing different image versions. - **original\_width**: The original width of the image or video. - *Type*: Integer - *Example*: 612 - **original\_height**: The original height of the image or video. - *Type*: Integer - *Example*: 612 - **video\_versions**: An array containing different versions of the video (if the post is a video). - **carousel\_media**: Represents carousel media if the post contains multiple images or videos. - **carousel\_media\_count**: The total number of media items in a carousel post. - **pk**: Another unique key for the post. - *Type*: String - *Example*: "3141737961795561608" - **has\_audio**: A boolean value indicating if the post (video) has audio. - **text\_post\_app\_info**: Contains information related to the text of the post. - **link\_preview\_attachment**: Any link preview attached to the post. - **share\_info**: Information related to post sharing. - **quoted\_post**: If the post quotes another post. - **reposted\_post**: If the post is a repost from another user. - **reply\_to\_author**: Represents a reply to the post author. - **is\_post\_unavailable**: A boolean indicating if the post is unavailable. - **caption**: Contains the caption of the post. - **text**: The text content of the caption. - *Example*: "70 million sign ups on Threads as of this morning. Way beyond our expectations." - **taken\_at**: A timestamp indicating when the post was created (in Unix time format and can be converted to a human-readable date and time format.) - *Type*: Integer - *Example*: 1688744372 - **like\_count**: The total number of likes for the post. - *Type*: Integer - *Example*: 146411 - **code**: A unique code associated with the post. - *Type*: String - *Example*: "CuZsgfWLyiI" - **media\_overlay\_info**: Contains information related to any media overlays on the post. # Actor input Schema ## `urls` (type: `array`): No description ## `postsPerSource` (type: `integer`): Limit the number posts scraped per given source (URL or @Username) ## Actor input object example ```json { "urls": [ "@zuck" ], "postsPerSource": 25 } ``` # 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 = { "urls": [ "@zuck" ], "postsPerSource": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("curious_coder/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 = { "urls": ["@zuck"], "postsPerSource": 25, } # Run the Actor and wait for it to finish run = client.actor("curious_coder/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 '{ "urls": [ "@zuck" ], "postsPerSource": 25 }' | apify call curious_coder/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=curious_coder/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta threads scraper", "description": "Scrape threads or posts from meta or instagram's new social media website \"threads.net\"", "version": "1.0", "x-build-id": "JsuYrg5tPYSUHbnjv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/curious_coder~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-curious_coder-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/curious_coder~threads-scraper/runs": { "post": { "operationId": "runs-sync-curious_coder-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/curious_coder~threads-scraper/run-sync": { "post": { "operationId": "run-sync-curious_coder-threads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Profile URLs or @Usernames", "type": "array", "description": "", "items": { "type": "string" } }, "postsPerSource": { "title": "Posts scraped per source", "type": "integer", "description": "Limit the number posts scraped per given source (URL or @Username)" } } }, "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 } } } } } } } } } } ```