# TikTok Following Scraper (`khadinakbar/tiktok-following-scraper`) Actor Export the public accounts followed by any TikTok profile. No cookies required. Provider-backed with ScrapeCreators primary and SociaVault fallback. - **URL**: https://apify.com/khadinakbar/tiktok-following-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 $3.00 / 1,000 scraped followed 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. 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 Following Scraper Export the public accounts followed by one or more TikTok profiles. The actor returns clean dataset rows for each followed account, including username, profile URL, display name, bio, follower/following counts, verification status, region, avatar URL, and pagination diagnostics. This actor is provider-backed and does not require user cookies. It uses ScrapeCreators first by default and SociaVault as a fallback when both provider secrets are configured by the actor owner. ### Input - `usernames` - TikTok handles, with or without `@`. - `startUrls` - TikTok profile URLs such as `https://www.tiktok.com/@stoolpresidente`. - `maxResults` - maximum followed accounts to save per source profile. - `maxPagesPerProfile` - pagination safety cap. - `providerOrder` - choose ScrapeCreators first, SociaVault first, or a single provider. - `minTime` - optional provider cursor for resuming a long following list. - `includeRawData` - include raw provider user objects for debugging. ### Example Input ```json { "usernames": ["stoolpresidente"], "maxResults": 100, "maxPagesPerProfile": 5, "providerOrder": "scrapecreators-first" } ```` ### Output Each dataset item is a followed TikTok account: ```json { "sourceUsername": "stoolpresidente", "sourceProfileUrl": "https://www.tiktok.com/@stoolpresidente", "provider": "scrapecreators", "position": 1, "username": "barstoolbeachhouse", "displayName": "Barstool Beach House", "profileUrl": "https://www.tiktok.com/@barstoolbeachhouse", "bio": "Coming in August", "region": "US", "followerCount": 2175, "followingCount": 10, "verified": false, "scrapedAt": "2026-06-10T00:00:00.000Z" } ``` The key-value store also contains: - `OUTPUT` - summary object with counts, provider telemetry, estimated PPE cost, and stop reason. - `RUN_SUMMARY` - same machine-readable summary for agents and automation. ### Notes This actor scrapes public TikTok following data only. Private accounts, hidden following lists, provider quota limits, or TikTok-side restrictions can return fewer rows than a profile's displayed following count. Provider media/avatar URLs may be signed and can expire. ### Pricing Pay-per-event pricing: - Actor start: `$0.00005` - Followed profile scraped: `$0.003` per saved row The actor logs a maximum expected run cost before scraping and charges only after a row is ready to save. # Actor input Schema ## `usernames` (type: `array`): TikTok handles to scrape, with or without @. ## `username` (type: `string`): Convenience field for one TikTok handle. ## `startUrls` (type: `array`): Alternative Apify-style URL input. Add TikTok profile URLs such as https://www.tiktok.com/@stoolpresidente. ## `maxResults` (type: `integer`): Maximum followed accounts to save for each source profile. ## `maxPagesPerProfile` (type: `integer`): Safety cap for pagination. Increase for very large following lists. ## `providerOrder` (type: `string`): Choose which public-data provider is tried first. ## `minTime` (type: `string`): Optional TikTok/provider min\_time cursor for resuming a following list. ## `trim` (type: `boolean`): Ask the provider for a smaller response where supported. Leave off for the richest normalized rows. ## `includeRawData` (type: `boolean`): Include the raw provider user object on each row for debugging and custom downstream parsing. ## Actor input object example ```json { "usernames": [ "stoolpresidente" ], "username": "stoolpresidente", "startUrls": [ { "url": "https://www.tiktok.com/@stoolpresidente" } ], "maxResults": 100, "maxPagesPerProfile": 5, "providerOrder": "scrapecreators-first", "trim": false, "includeRawData": false } ``` # Actor output Schema ## `results` (type: `string`): Followed accounts exported from the target TikTok profiles. ## `runSummary` (type: `string`): Run diagnostics and provider telemetry. # 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 = { "usernames": [ "stoolpresidente" ], "username": "stoolpresidente", "startUrls": [ { "url": "https://www.tiktok.com/@stoolpresidente" } ], "maxResults": 100, "maxPagesPerProfile": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/tiktok-following-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 = { "usernames": ["stoolpresidente"], "username": "stoolpresidente", "startUrls": [{ "url": "https://www.tiktok.com/@stoolpresidente" }], "maxResults": 100, "maxPagesPerProfile": 5, } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/tiktok-following-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 '{ "usernames": [ "stoolpresidente" ], "username": "stoolpresidente", "startUrls": [ { "url": "https://www.tiktok.com/@stoolpresidente" } ], "maxResults": 100, "maxPagesPerProfile": 5 }' | apify call khadinakbar/tiktok-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/tiktok-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Following Scraper", "description": "Export the public accounts followed by any TikTok profile. No cookies required. Provider-backed with ScrapeCreators primary and SociaVault fallback.", "version": "0.1", "x-build-id": "J7KGbSLorFGRqFuQ2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~tiktok-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-tiktok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~tiktok-following-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-tiktok-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~tiktok-following-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-tiktok-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "usernames": { "title": "TikTok Usernames", "type": "array", "description": "TikTok handles to scrape, with or without @.", "items": { "type": "string" } }, "username": { "title": "Single Username", "type": "string", "description": "Convenience field for one TikTok handle." }, "startUrls": { "title": "TikTok Profile URLs", "type": "array", "description": "Alternative Apify-style URL input. Add TikTok profile URLs such as https://www.tiktok.com/@stoolpresidente.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max Followed Accounts Per Profile", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum followed accounts to save for each source profile.", "default": 500 }, "maxPagesPerProfile": { "title": "Max Provider Pages Per Profile", "minimum": 1, "maximum": 500, "type": "integer", "description": "Safety cap for pagination. Increase for very large following lists.", "default": 50 }, "providerOrder": { "title": "Provider Order", "enum": [ "scrapecreators-first", "sociavault-first", "scrapecreators-only", "sociavault-only" ], "type": "string", "description": "Choose which public-data provider is tried first.", "default": "scrapecreators-first" }, "minTime": { "title": "Starting Pagination Cursor", "type": "string", "description": "Optional TikTok/provider min_time cursor for resuming a following list." }, "trim": { "title": "Trim Provider Response", "type": "boolean", "description": "Ask the provider for a smaller response where supported. Leave off for the richest normalized rows.", "default": false }, "includeRawData": { "title": "Include Raw Provider Data", "type": "boolean", "description": "Include the raw provider user object on each row for debugging and custom downstream parsing.", "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 } } } } } } } } } } ```