# TikTok Followers Scraper - Followers & Following (`khadinakbar/tiktok-followers-scraper`) Actor Scrape public TikTok followers and following profiles from any account. Export usernames, IDs, bios, avatars, verification, region, and audience stats. No cookies required. - **URL**: https://apify.com/khadinakbar/tiktok-followers-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (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 from $0.90 / 1,000 scraped tiktok profiles This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## TikTok Followers Scraper Scrape public TikTok followers and following profiles from one or more source accounts. The actor returns clean, export-ready rows with profile identity, audience counts, verification state, region, bio, avatar URL, source account, and whether the row came from a followers or following list. ### What you get - TikTok username and profile URL - Display name, TikTok ID, and secUid - Bio/signature and avatar URL - Verified/private flags when available - Region, follower count, following count, total likes, video count, and favoriting count - Source account and relationship type: follower or following - Optional raw provider object for debugging and advanced enrichment ### Input Provide TikTok usernames or profile URLs in `profiles`, then choose: - `mode`: `followers`, `following`, or `both` - `maxResultsPerProfile`: maximum rows per source profile and list type - `includeRawData`: include the original provider object under `raw` Example: ```json { "profiles": ["khaby.lame", "https://www.tiktok.com/@stoolpresidente"], "mode": "followers", "maxResultsPerProfile": 100, "includeRawData": false } ```` ### Output Each dataset item is one collected TikTok profile: ```json { "username": "creator", "display_name": "Creator Name", "tiktok_id": "123456789", "sec_uid": "MS4wLjABAAAA...", "profile_url": "https://www.tiktok.com/@creator", "avatar_url": "https://p16-sign.tiktokcdn-us.com/avatar.jpg", "bio": "Creator bio", "is_verified": true, "verification_label": "Verified account", "is_private": false, "region": "US", "follower_count": 12000, "following_count": 812, "total_likes": 245000, "video_count": 134, "favoriting_count": 33, "relationship": "follower", "source_username": "khaby.lame", "scraped_at": "2026-06-10T12:00:00.000Z" } ``` ### Public data and reliability This actor is provider-backed and does not require TikTok cookies, passwords, or browser sessions. It is designed for public profile graph extraction and will not unlock private or login-only data. Runs write a `RUN_SUMMARY` key-value record with total rows, provider credits used, selected mode, failed targets, and completion timestamp. ### Pricing Pay per event: - Actor start: `$0.00005` - Scraped TikTok profile: tiered from `$0.0015` on Free to `$0.0005` on Diamond The actor includes charge guards so it never bills more rows than `profiles x selected list types x maxResultsPerProfile`. ### Use cases - Influencer audience research - Competitor audience exports - Creator lead generation - Social graph enrichment - Audience segmentation and outreach workflows # Actor input Schema ## `profiles` (type: `array`): TikTok accounts whose public followers or following lists you want to extract. Accepts handles such as khaby.lame or full URLs such as https://www.tiktok.com/@khaby.lame. One per line. ## `mode` (type: `string`): Choose whether to collect followers, following, or both lists for each source account. ## `maxResultsPerProfile` (type: `integer`): Maximum number of follower/following profiles to collect per source account and selected list type. Use a small value for testing. Range: 1 to 50000. ## `includeRawData` (type: `boolean`): Include the original provider user object under raw for debugging and advanced enrichment workflows. Leave off for cleaner exports. ## Actor input object example ```json { "profiles": [ "khaby.lame" ], "mode": "followers", "maxResultsPerProfile": 50, "includeRawData": false } ``` # Actor output Schema ## `results` (type: `string`): All collected TikTok follower/following profiles. ## `summary` (type: `string`): Totals, selected mode, provider credits used, and completion timestamp. # 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": [ "khaby.lame" ], "mode": "followers", "maxResultsPerProfile": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/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": ["khaby.lame"], "mode": "followers", "maxResultsPerProfile": 50, } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/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": [ "khaby.lame" ], "mode": "followers", "maxResultsPerProfile": 50 }' | apify call khadinakbar/tiktok-followers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/tiktok-followers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Followers Scraper - Followers & Following", "description": "Scrape public TikTok followers and following profiles from any account. Export usernames, IDs, bios, avatars, verification, region, and audience stats. No cookies required.", "version": "1.0", "x-build-id": "m1LCHycMbQxU40LFs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~tiktok-followers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~tiktok-followers-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-tiktok-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~tiktok-followers-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-tiktok-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "profiles" ], "properties": { "profiles": { "title": "TikTok usernames or profile URLs", "type": "array", "description": "TikTok accounts whose public followers or following lists you want to extract. Accepts handles such as khaby.lame or full URLs such as https://www.tiktok.com/@khaby.lame. One per line.", "items": { "type": "string" } }, "mode": { "title": "List type", "enum": [ "followers", "following", "both" ], "type": "string", "description": "Choose whether to collect followers, following, or both lists for each source account.", "default": "followers" }, "maxResultsPerProfile": { "title": "Max results per profile", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of follower/following profiles to collect per source account and selected list type. Use a small value for testing. Range: 1 to 50000.", "default": 200 }, "includeRawData": { "title": "Include raw provider object", "type": "boolean", "description": "Include the original provider user object under raw for debugging and advanced enrichment workflows. Leave off for cleaner exports.", "default": 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 } } } } } } } } } } ```