# 🧡✨ Threads User Followers Scraper (`scraperx/threads-user-followers-scraper`) Actor - **URL**: https://apify.com/scraperx/threads-user-followers-scraper.md - **Developed by:** [ScraperX](https://apify.com/scraperx) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 User Followers Scraper Apify Actor that collects **Threads** follower records for one or more profiles, using the same GraphQL + HTML token strategy as a local Python workflow (`extract_followers` + profile HTML + JS bundle `doc_id` extraction). ### Features - **Bulk input**: multiple profile URLs or `@usernames` - **Session-based**: requires a valid `sessionid` cookie (paste as **`sessionId`** input; from `threads.com` / Instagram when logged in) - **Proxy ladder**: starts with **no proxy**; on failure uses **Apify datacenter**, then **residential** (up to 3 attempts); after residential succeeds, **stays on residential** for the rest of the run - **Live dataset output**: each follower row is pushed as it is discovered - **Same output shape** as the normalized JSON from `node_to_record` (source, target_username, user_id, pk, username, full_name, flags, profile_url, etc.) ### Input | Field | Type | Description | |--------|------|-------------| | `urls` | array | Profile URLs or usernames | | `sessionId` | string (secret) | Value of the `sessionid` cookie (browser DevTools β†’ Application β†’ Cookies β†’ threads.com or instagram.com) | | `proxyConfiguration` | object | Optional; merged into Apify proxy configuration for DC/residential fallbacks | | `maxFollowers` | integer | Max unique followers per profile (default `200`) | Pacing and GraphQL batching match the original script internally (`~0.35s` between rounds, `first=50`, stop after `10` consecutive rounds with no new unique followers). Example: ```json { "urls": ["https://www.threads.com/@zuck"], "sessionId": "YOUR_SESSIONID", "maxFollowers": 200 } ```` ### Output Each dataset item matches the scraper record shape, for example: ```json { "source": "threads", "target_username": "zuck", "user_id": "73956966771", "pk": "73956966771", "username": "baselad21", "full_name": "Bassel Kaddour", "is_verified": false, "is_private": false, "profile_pic_url": "https://...", "follower_count": 1, "following": false, "followed_by": false, "outgoing_request": false, "has_onboarded_to_text_post_app": true, "__typename": "XDTUserDict", "profile_url": "https://www.threads.net/@baselad21" } ``` ### Local run ```bash cd Threads-User-Followers-Scraper pip install -r requirements.txt ``` - Set **`APIFY_TOKEN`** in the environment so Apify Proxy fallbacks can obtain a proxy password when direct access fails. - Run **`apify run`** with the Apify CLI, or **`python -m src`** with optional project-root **`INPUT.json`** (only if `Actor.get_input()` is empty β€” e.g. local testing). ### Legal Only scrape data you are allowed to access. You are responsible for complying with Threads/Meta terms and applicable laws. # Actor input Schema ## `urls` (type: `array`): 🎯 Paste Threads links **or** plain usernames β€” one per line is fine. ✨ **Examples:** `@zuck` Β· `https://www.threads.com/@creator` Β· mix & match as you like! πŸ“‹ Running a big list? Go ahead β€” that’s what this field is for. ## `sessionId` (type: `string`): πŸͺ This tells Threads *you’re you* β€” same as when you browse the app yourself. πŸ‘‰ Open your browser’s cookie settings for **Instagram** or **Threads**, find **`sessionid`**, and paste the value here. 🀫 **Keep it secret** β€” treat it like a password. Never share it or paste it into public chats or code repos. βœ… With a valid session, you only get data your account is allowed to see. ## `maxFollowers` (type: `integer`): πŸ“Š Set a **cap** on how many follower rows to collect for **each** profile in your list. πŸ›‘ Handy when you only need a sample β€” or crank it up for a deeper export. πŸ’š **Friendly to servers:** reasonable limits keep runs smooth for everyone. ## `proxyConfiguration` (type: `object`): πŸ›‘οΈ **Totally optional** β€” leave the defaults if you’re not sure. ✨ When you need extra stability reaching Threads from the cloud, Apify’s proxy settings can help keep things running smoothly. πŸ™Œ Power users: tweak here; everyone else can skip. ## Actor input object example ```json { "urls": [ "zuck" ], "sessionId": "", "maxFollowers": 20, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("scraperx/threads-user-followers-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("scraperx/threads-user-followers-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "zuck" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call scraperx/threads-user-followers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/threads-user-followers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🧡✨ Threads User Followers Scraper", "version": "0.1", "x-build-id": "I0VwnnigpfHpfuYTG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~threads-user-followers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-threads-user-followers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperx~threads-user-followers-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-threads-user-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperx~threads-user-followers-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-threads-user-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "sessionId" ], "properties": { "urls": { "title": "πŸ“ Profiles to look up (one or many)", "type": "array", "description": "🎯 Paste Threads links **or** plain usernames β€” one per line is fine.\n\n✨ **Examples:** `@zuck` Β· `https://www.threads.com/@creator` Β· mix & match as you like!\n\nπŸ“‹ Running a big list? Go ahead β€” that’s what this field is for.", "items": { "type": "string" } }, "sessionId": { "title": "πŸ”‘βœ… Your logged-in session (required)", "type": "string", "description": "πŸͺ This tells Threads *you’re you* β€” same as when you browse the app yourself.\n\nπŸ‘‰ Open your browser’s cookie settings for **Instagram** or **Threads**, find **`sessionid`**, and paste the value here.\n\n🀫 **Keep it secret** β€” treat it like a password. Never share it or paste it into public chats or code repos.\n\nβœ… With a valid session, you only get data your account is allowed to see.", "default": "" }, "maxFollowers": { "title": "🎚️ How many people per profile?", "minimum": 1, "maximum": 100000, "type": "integer", "description": "πŸ“Š Set a **cap** on how many follower rows to collect for **each** profile in your list.\n\nπŸ›‘ Handy when you only need a sample β€” or crank it up for a deeper export.\n\nπŸ’š **Friendly to servers:** reasonable limits keep runs smooth for everyone.", "default": 20 }, "proxyConfiguration": { "title": "🌐 Network options (optional)", "type": "object", "description": "πŸ›‘οΈ **Totally optional** β€” leave the defaults if you’re not sure.\n\n✨ When you need extra stability reaching Threads from the cloud, Apify’s proxy settings can help keep things running smoothly.\n\nπŸ™Œ Power users: tweak here; everyone else can skip." } } }, "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 } } } } } } } } } } ```