# TikTok Influencer Finder — Emails & Contacts (`funny_ground/tiktok-influencer-finder`) Actor - **URL**: https://apify.com/funny\_ground/tiktok-influencer-finder.md - **Developed by:** [Coor Yu](https://apify.com/funny_ground) (community) - **Categories:** Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## TikTok Influencer Finder — Emails & Contacts Find TikTok creators by **keyword or niche**, filter by **follower count**, and extract **emails / Instagram / links** straight from their bios. Built for influencer-marketing lead generation. ### 中文说明 输入关键词或领域（留空则自动枚举美妆/健身/美食/游戏/科技等常见领域），按粉丝量范围筛选， 输出达人信息（用户名、昵称、粉丝数、认证、地区、简介）以及从简介解析出的**邮箱 / Instagram / 外链**。 **工作原理**：用真实浏览器打开 TikTok 用户搜索页，捕获或主动构造 `/api/search/user/full`、`/api/search/general/full` 请求，再用页面内置签名函数 `byted_acrawler.frontierSign` 重签并按 `cursor` 翻页。联系方式由简介文本解析。 默认使用 Apify Proxy `DEFAULT` 非住宅代理池，也不会自动切到住宅代理；如果用户手动选择 `RESIDENTIAL`，则尊重该输入。 ### Input | Field | Type | Description | |---|---|---| | `keywords` | array | 关键词/领域；留空则枚举常见领域 | | `minFollowers` | integer | 最少粉丝（0=不限） | | `maxFollowers` | integer | 最多粉丝（0=不限，适合找微达人） | | `maxCreatorsPerKeyword` | integer | 每词最多达人数 | | `onlyWithContact` | boolean | 仅保留有邮箱/联系方式的达人 | | `maxConcurrency` | integer | 并发处理关键词数量，默认 `2` | | `maxRequestRetries` | integer | 每个关键词最大重试次数，默认 `2` | | `blockResources` | boolean | 阻断图片/视频/字体/样式表，默认 `true` | | `proxyConfiguration` | object | 可选代理；默认使用 Apify Proxy `DEFAULT` 非住宅池 | ```json { "keywords": ["skincare", "home fitness"], "minFollowers": 10000, "maxFollowers": 500000, "maxCreatorsPerKeyword": 50, "onlyWithContact": true, "maxConcurrency": 2, "maxRequestRetries": 2, "blockResources": true, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output 每行一个达人：`username`, `nickname`, `followerCount`, `followingCount`, `videoCount`, `heartCount`, `verified`, `region`, `signature`, `bioLink`, **`email`**, `emails`, `instagram`, `youtube`, `links`, `profileUrl`, `avatar`, `keyword`, `scrapedAt`. ### Notes - 邮箱是否能拿到取决于达人**是否在简介里公开**；不公开则无法获取。 - 默认不主动使用住宅代理，也没有住宅 fallback；默认代理组是 Apify Proxy `DEFAULT`，需要住宅代理时必须在输入里手动选择。 - 非住宅 IP 下 TikTok search 仍可能间歇返回空结果；actor 会快速重试并尽早结束，避免长时间空跑。 - TikTok 偶尔更换签名算法，若返回 0，修改 `src/main.js` 中的 `frontierSign` 调用处即可。 # Actor input Schema ## `keywords` (type: `array`): 搜索关键词或领域，每行一个；留空则自动枚举常见领域（美妆/健身/美食/游戏/科技等）。Keywords or niches, one per line. Leave empty to auto-enumerate common niches. ## `minFollowers` (type: `integer`): 只保留粉丝数 ≥ 该值的达人。0 = 不限。Only keep creators with at least this many followers. 0 = no minimum. ## `maxFollowers` (type: `integer`): 只保留粉丝数 ≤ 该值的达人（适合找腰部/微达人）。0 = 不限。Only keep creators with at most this many followers. 0 = no maximum. ## `maxCreatorsPerKeyword` (type: `integer`): 每个关键词最多返回的达人数量。Maximum creators to return per keyword. ## `onlyWithContact` (type: `boolean`): Only keep creators whose bio includes an email, Instagram, X/Twitter, YouTube, or bio link. Disable this to maximize creator results. ## `maxConcurrency` (type: `integer`): How many keywords to process in parallel. Higher values are faster but use more memory. ## `maxRequestRetries` (type: `integer`): Retries per keyword when TikTok returns no usable search data. Lower values reduce cost on non-residential IPs. ## `blockResources` (type: `boolean`): Block images, media, fonts, and stylesheets to reduce browser time and bandwidth. ## `proxyConfiguration` (type: `object`): Optional proxy settings. By default the actor uses Apify Proxy DEFAULT pool, which is non-residential, and never automatically switches to residential proxies. If you explicitly select RESIDENTIAL, that choice is respected. ## Actor input object example ```json { "keywords": [ "beauty", "vegan recipes", "indie game dev" ], "minFollowers": 0, "maxFollowers": 0, "maxCreatorsPerKeyword": 50, "onlyWithContact": true, "maxConcurrency": 2, "maxRequestRetries": 2, "blockResources": true, "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 = { "keywords": [ "skincare", "home fitness" ], "maxCreatorsPerKeyword": 50, "onlyWithContact": true, "maxConcurrency": 2, "maxRequestRetries": 2, "blockResources": true, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("funny_ground/tiktok-influencer-finder").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 = { "keywords": [ "skincare", "home fitness", ], "maxCreatorsPerKeyword": 50, "onlyWithContact": True, "maxConcurrency": 2, "maxRequestRetries": 2, "blockResources": True, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("funny_ground/tiktok-influencer-finder").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 '{ "keywords": [ "skincare", "home fitness" ], "maxCreatorsPerKeyword": 50, "onlyWithContact": true, "maxConcurrency": 2, "maxRequestRetries": 2, "blockResources": true, "proxyConfiguration": { "useApifyProxy": true } }' | apify call funny_ground/tiktok-influencer-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=funny_ground/tiktok-influencer-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Influencer Finder — Emails & Contacts", "version": "0.1", "x-build-id": "QJBNpEbLf4v5rI2W5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/funny_ground~tiktok-influencer-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-funny_ground-tiktok-influencer-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/funny_ground~tiktok-influencer-finder/runs": { "post": { "operationId": "runs-sync-funny_ground-tiktok-influencer-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/funny_ground~tiktok-influencer-finder/run-sync": { "post": { "operationId": "run-sync-funny_ground-tiktok-influencer-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Keywords / niches / 关键词", "type": "array", "description": "搜索关键词或领域，每行一个；留空则自动枚举常见领域（美妆/健身/美食/游戏/科技等）。Keywords or niches, one per line. Leave empty to auto-enumerate common niches.", "items": { "type": "string" } }, "minFollowers": { "title": "Min followers / 最少粉丝", "minimum": 0, "type": "integer", "description": "只保留粉丝数 ≥ 该值的达人。0 = 不限。Only keep creators with at least this many followers. 0 = no minimum.", "default": 0 }, "maxFollowers": { "title": "Max followers / 最多粉丝", "minimum": 0, "type": "integer", "description": "只保留粉丝数 ≤ 该值的达人（适合找腰部/微达人）。0 = 不限。Only keep creators with at most this many followers. 0 = no maximum.", "default": 0 }, "maxCreatorsPerKeyword": { "title": "Max creators per keyword / 每词最多达人数", "minimum": 1, "maximum": 1000, "type": "integer", "description": "每个关键词最多返回的达人数量。Maximum creators to return per keyword.", "default": 50 }, "onlyWithContact": { "title": "Only creators with contact / 仅保留有联系方式", "type": "boolean", "description": "Only keep creators whose bio includes an email, Instagram, X/Twitter, YouTube, or bio link. Disable this to maximize creator results.", "default": true }, "maxConcurrency": { "title": "Max concurrency / 最大并发", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many keywords to process in parallel. Higher values are faster but use more memory.", "default": 2 }, "maxRequestRetries": { "title": "Max request retries / 最大重试次数", "minimum": 0, "maximum": 5, "type": "integer", "description": "Retries per keyword when TikTok returns no usable search data. Lower values reduce cost on non-residential IPs.", "default": 2 }, "blockResources": { "title": "Block heavy resources / 阻断重资源", "type": "boolean", "description": "Block images, media, fonts, and stylesheets to reduce browser time and bandwidth.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration / 代理", "type": "object", "description": "Optional proxy settings. By default the actor uses Apify Proxy DEFAULT pool, which is non-residential, and never automatically switches to residential proxies. If you explicitly select RESIDENTIAL, that choice is respected.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```