# ๐ŸงตThreads User Following Scraper (`simpleapi/threads-user-following-scraper`) Actor ๐Ÿงต Extract the following list of any Threads user with Threads User Following Scraper. Collect usernames, profile links, bios, follower details, and public account data for research, lead generation, influencer discovery, and competitor analysis with clean exports. - **URL**: https://apify.com/simpleapi/threads-user-following-scraper.md - **Developed by:** [SimpleAPI](https://apify.com/simpleapi) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 Following Scraper Apify actor that loads a Threads profileโ€™s **following** list via the same GraphQL flow as the standalone `extractor` / `helper` / `main` scripts: HTML token extraction (app id, CSRF, user id, doc id from JS bundles), then paginated `BarcelonaFriendshipsFollowingTabRefetchableQuery` requests. ### Input | Field | Description | |--------|-------------| | **urls** | Profile URLs (`https://www.threads.com/@user`) or usernames. | | **sessionId** | `sessionid` cookie (required), same as standalone `main.py` `COOKIES`. | | **maxFollowing** | Max rows per profile (default 500). | | **proxyConfiguration** | Apify Proxy; used on fallback after direct connection. | ### Proxy behaviour 1. Requests start **without** a proxy. 2. On block (HTTP 401/403/429, empty/challenge HTML, bad GraphQL): **datacenter** Apify proxy. 3. If still blocked: **residential** proxy; all later requests stay on residential. 4. On residential, each GraphQL batch retries up to **3** times with a new proxy URL. ### Output Dataset items match the original `node_to_record` shape (`source`, `id`, `pk`, `username`, `full_name`, `profile_pic_url`, `friendship_status`, etc.). ### Legal Use only in line with Meta/Threads terms and applicable law; you are responsible for cookie/session handling and compliance. # Actor input Schema ## `urls` (type: `array`): ๐Ÿ“‹ Paste Threads profile links or usernames โ€” one per line or add many at once. โœจ Examples: `https://www.threads.com/@username` or simply `username`. ๐Ÿš€ Bulk-friendly for big lists! ## `sessionId` (type: `string`): ๐Ÿช Paste your **sessionid** from the browser where youโ€™re logged into Threads/Instagram. ๐Ÿ”’ This keeps the run tied to *your* account โ€” we donโ€™t store or share it beyond this run. โš ๏ธ Donโ€™t share this value publicly. ## `maxFollowing` (type: `integer`): ๐ŸŽš๏ธ Cap how many following rows to collect **per profile** โ€” great for quick samples or full lists. ๐Ÿ“‰ Lower = faster & lighter; ๐Ÿ“Š higher = more complete picture. ## `proxyConfiguration` (type: `object`): ๐Ÿ›ก๏ธ **Totally optional.** Leave off for a normal run from Apifyโ€™s cloud. โœจ Turn on if you already use Apify Proxy and want extra flexibility โ€” helpful when routes get noisy. ๐Ÿ  Defaults to a simple setup; you can tune groups in the proxy picker if you use it. ## Actor input object example ```json { "urls": [ "zuck" ], "sessionId": "", "maxFollowing": 50, "proxyConfiguration": { "useApifyProxy": false } } ```` # 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": false } }; // Run the Actor and wait for it to finish const run = await client.actor("simpleapi/threads-user-following-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": False }, } # Run the Actor and wait for it to finish run = client.actor("simpleapi/threads-user-following-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "zuck" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call simpleapi/threads-user-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=simpleapi/threads-user-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐ŸงตThreads User Following Scraper", "description": "๐Ÿงต Extract the following list of any Threads user with Threads User Following Scraper. Collect usernames, profile links, bios, follower details, and public account data for research, lead generation, influencer discovery, and competitor analysis with clean exports.", "version": "0.1", "x-build-id": "m6yJjOLFGyzsmwyOx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/simpleapi~threads-user-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-simpleapi-threads-user-following-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/simpleapi~threads-user-following-scraper/runs": { "post": { "operationId": "runs-sync-simpleapi-threads-user-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/simpleapi~threads-user-following-scraper/run-sync": { "post": { "operationId": "run-sync-simpleapi-threads-user-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "๐Ÿ”— Profiles to look up", "type": "array", "description": "๐Ÿ“‹ Paste Threads profile links or usernames โ€” one per line or add many at once. โœจ Examples: `https://www.threads.com/@username` or simply `username`. ๐Ÿš€ Bulk-friendly for big lists!", "items": { "type": "string" } }, "sessionId": { "title": "๐Ÿ”‘ Your session cookie", "type": "string", "description": "๐Ÿช Paste your **sessionid** from the browser where youโ€™re logged into Threads/Instagram. ๐Ÿ”’ This keeps the run tied to *your* account โ€” we donโ€™t store or share it beyond this run. โš ๏ธ Donโ€™t share this value publicly.", "default": "" }, "maxFollowing": { "title": "๐Ÿ“ˆ How many people max?", "minimum": 1, "maximum": 10000, "type": "integer", "description": "๐ŸŽš๏ธ Cap how many following rows to collect **per profile** โ€” great for quick samples or full lists. ๐Ÿ“‰ Lower = faster & lighter; ๐Ÿ“Š higher = more complete picture.", "default": 50 }, "proxyConfiguration": { "title": "๐ŸŒ Optional connection boost", "type": "object", "description": "๐Ÿ›ก๏ธ **Totally optional.** Leave off for a normal run from Apifyโ€™s cloud. โœจ Turn on if you already use Apify Proxy and want extra flexibility โ€” helpful when routes get noisy. ๐Ÿ  Defaults to a simple setup; you can tune groups in the proxy picker if you use it." } } }, "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 } } } } } } } } } } ```