# TikTok Followers & Following Scraper (`dami_studio/tiktok-followers-scraper`) Actor Extract public TikTok followers or following lists with profile metadata, counts, bios, avatars, and relationship context. Keyless by default; no login or cookies required for public results. - **URL**: https://apify.com/dami\_studio/tiktok-followers-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.35 / 1,000 tiktok profiles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## TikTok Followers & Following Scraper Extract public follower or following profile lists from TikTok profiles. Each successful relationship row includes the username, display name, bio, avatar, verification flag, follower/following counts, secure user ID, source profile, list type, and profile URL. ### What is distinct The owned TikTok User Scraper and TikTok Scraper return source-profile statistics and content. They do not return the accounts in a profile's follower or following list. This Actor is dedicated to that relationship-list extraction use case. ### Input - `profiles`: handles, profile URLs, or numeric TikTok user IDs. - `listType`: `following` (default), `followers`, or `both`. - `maxItemsPerProfile`: per-source cap from 1 to 1,000. - `maxRunSeconds`: hard 10 to 180 second run deadline. - `fallbackToProxy`: optional opt-in retry through the supplied Apify proxy configuration after a direct failure. Direct HTTP is attempted first through a public keyless relay. No login, cookies, or API key are required for public data. Residential proxy use is not enabled by default because the live following smoke succeeded directly. TikTok may expose followers less consistently than following lists; the Actor reports a diagnostic row and does not charge when a list cannot be obtained. ### Output One dataset row per successful relationship profile: ```json { "ok": true, "type": "relationship_profile", "uniqueId": "tiktokcreators", "nickname": "tiktok creators", "followerCount": 8538100, "followingCount": 568, "sourceProfile": "@tiktok", "listType": "following", "profileUrl": "https://www.tiktok.com/@tiktok" } ```` Empty input returns one labeled sample row and makes no request or charge. Diagnostic, blocked, and no-result rows are never charged. A successful row is charged once using the `profile` event. ### Pricing Live pricing is **$0.00035 per successful relationship profile**, or **$0.35 per 1,000 results**. It is below the lowest observed comparable at $0.40 per 1,000 and retained a positive measured margin on the direct HTTP cloud path. Empty, sample, and diagnostic rows are never charged. ### Responsible use This Actor only requests public relationship data exposed by the relay. Do not use it to collect private account data, bypass access controls, or violate TikTok terms or applicable privacy law. # Actor input Schema ## `profiles` (type: `array`): Public TikTok usernames, @handles, profile URLs, or numeric user IDs whose follower or following list should be extracted. ## `listType` (type: `string`): Choose followers, following, or both. TikTok may expose following more consistently than followers for some public accounts. ## `maxItemsPerProfile` (type: `integer`): Maximum relationship profiles returned per source profile and list type. Lower this for a quick, low-cost sample. ## `maxRunSeconds` (type: `integer`): Hard wall-clock deadline for the run. The actor stops pagination and returns collected rows before this limit. ## `fallbackToProxy` (type: `boolean`): When enabled, retry a direct BLOCKED or transient target failure through the supplied Apify proxy configuration. Direct HTTP is used first. ## `proxyConfiguration` (type: `object`): Optional Apify proxy settings used only when fallbackToProxy is enabled; residential groups can be selected for blocked public endpoints. ## Actor input object example ```json { "profiles": [ "tiktok", "nba" ], "listType": "following", "maxItemsPerProfile": 100, "maxRunSeconds": 90, "fallbackToProxy": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (type: `string`): One row per public follower or following profile; diagnostic and empty-input rows are never charged. # 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 = { "profiles": [ "tiktok" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/tiktok-followers-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 = { "profiles": ["tiktok"] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/tiktok-followers-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 '{ "profiles": [ "tiktok" ] }' | apify call dami_studio/tiktok-followers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/tiktok-followers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Followers & Following Scraper", "description": "Extract public TikTok followers or following lists with profile metadata, counts, bios, avatars, and relationship context. Keyless by default; no login or cookies required for public results.", "version": "0.1", "x-build-id": "Ee5noLRTPdfB8WpL1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~tiktok-followers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-tiktok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~tiktok-followers-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-tiktok-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~tiktok-followers-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-tiktok-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "profiles": { "title": "TikTok profiles", "type": "array", "description": "Public TikTok usernames, @handles, profile URLs, or numeric user IDs whose follower or following list should be extracted.", "items": { "type": "string" } }, "listType": { "title": "List type", "enum": [ "followers", "following", "both" ], "type": "string", "description": "Choose followers, following, or both. TikTok may expose following more consistently than followers for some public accounts.", "default": "following" }, "maxItemsPerProfile": { "title": "Maximum profiles per input", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum relationship profiles returned per source profile and list type. Lower this for a quick, low-cost sample.", "default": 100 }, "maxRunSeconds": { "title": "Maximum run seconds", "minimum": 10, "maximum": 180, "type": "integer", "description": "Hard wall-clock deadline for the run. The actor stops pagination and returns collected rows before this limit.", "default": 90 }, "fallbackToProxy": { "title": "Use proxy after direct failure", "type": "boolean", "description": "When enabled, retry a direct BLOCKED or transient target failure through the supplied Apify proxy configuration. Direct HTTP is used first.", "default": false }, "proxyConfiguration": { "title": "Optional proxy configuration", "type": "object", "description": "Optional Apify proxy settings used only when fallbackToProxy is enabled; residential groups can be selected for blocked public endpoints.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```