# TikTok Search Suggestions Scraper (`vistics/tiktok-search-suggestions-scraper`) Actor SEO-flavored Tap into what TikTok users are actually searching for. Extract TikTok's search autocomplete suggestions at scale to power your keyword research, SEO, and content strategy - **URL**: https://apify.com/vistics/tiktok-search-suggestions-scraper.md - **Developed by:** [Ilong Mamman](https://apify.com/vistics) (community) - **Categories:** SEO tools, Social media, Videos - **Stats:** 2 total users, 1 monthly users, 94.4% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results 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 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 Search Suggestions Scraper | Extract TikTok Autocomplete Keywords Pull TikTok's **search autocomplete suggestions** for any keyword — the exact phrases TikTok recommends as users type. No browser automation, no logins, no manual scrolling. Just paste one or more search terms, pick a region, and get structured JSON keyword data in seconds. ⭐ Fast & Reliable | � Region Targeting | � Bulk Query Support --- ### What Is This Actor? This Apify actor extracts **TikTok search autocomplete suggestions** for any query. Perfect for keyword research, SEO, content ideation, trend discovery, and hashtag strategy. Drop in a single keyword for a quick check or a list of seed terms to build a full keyword map — the scraper handles each query and writes one row per suggestion. --- ### What Data Can You Extract? The scraper outputs **one row per suggestion**, so the dataset is ready for direct CSV / Excel / Sheets export. Each row contains: | Field | Description | | ------------ | --------------------------------------------------------------- | | `searchTerm` | The search term you queried (lets you join rows back to source) | | `region` | Region code used for the request (e.g. `US`) | | `text` | The suggested search phrase returned by TikTok | | `position` | Rank of the suggestion in the autocomplete list (0-based) | | `language` | Detected language of the suggestion (e.g. `en`, `vi`) | | `score` | Relevance score TikTok assigns to the suggestion | --- ### Use Cases - � **Keyword Research** — Discover the exact phrases TikTok suggests for your seed terms. - � **SEO & Content Ideation** — Turn autocomplete data into video topics and captions. - � **Hashtag & Trend Strategy** — Spot rising phrases and language variations early. - 🌍 **Localization** — Compare suggestions across regions and languages. - 🤖 **Keyword Maps & AI** — Feed structured suggestion data into clustering or LLM pipelines. - 📊 **CSV / Sheets Export** — Flat one-row-per-suggestion output drops cleanly into spreadsheets. --- ### Input Parameters | Parameter | Type | Description | Default | | ------------- | ------ | ----------------------------------------------------------------- | ---------- | | `searchTerms` | Array | List of search terms to fetch TikTok suggestions for. | _Required_ | | `region` | String | Region code used to localize suggestions (e.g. `US`, `GB`, `VN`). | `US` | > **Tip:** Each entry in `searchTerms` can be a plain string (`cats`) or an object (`{ "searchTerm": "cats" }`). --- ### How to Use #### 1. Single Query ```json { "searchTerms": ["cats"], "region": "US" } ```` #### 2. Multiple Queries ```json { "searchTerms": ["cats", "funny cats", "street food"], "region": "US" } ``` *** ### Output Example Each suggestion is its own dataset row — perfect for tables, CSV exports, and downstream pipelines. ```json { "searchTerm": "cats", "region": "US", "text": "cats funny video", "position": 0, "language": "en", "score": 0.03659618 } ``` ### FAQ **Can I scrape multiple keywords at once?** Yes — add multiple terms to the `searchTerms` array. Each one is processed sequentially with a short delay to avoid rate limiting. **How many suggestions are returned per query?** TikTok typically returns around 10 autocomplete suggestions per search term, and every suggestion is written as its own dataset row. **How do I know which keyword each suggestion belongs to?** Every row contains a `searchTerm` field with the term you searched, so the dataset stays joinable even when you batch many keywords. ### Need Help? Open an issue on the Apify platform or email: **vistics99@gmail.com** — we respond within 24 hours. ⚡ # Actor input Schema ## `searchTerms` (type: `array`): List of search terms to fetch TikTok autocomplete suggestions for (e.g. dogs, funny cats). ## `region` (type: `string`): Region code used to localize suggestions (e.g. US, GB, VN). ## Actor input object example ```json { "searchTerms": [ "dogs" ], "region": "US" } ``` # 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 = { "searchTerms": [ "dogs" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vistics/tiktok-search-suggestions-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 = { "searchTerms": ["dogs"] } # Run the Actor and wait for it to finish run = client.actor("vistics/tiktok-search-suggestions-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 '{ "searchTerms": [ "dogs" ] }' | apify call vistics/tiktok-search-suggestions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vistics/tiktok-search-suggestions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Search Suggestions Scraper", "description": "SEO-flavored Tap into what TikTok users are actually searching for. Extract TikTok's search autocomplete suggestions at scale to power your keyword research, SEO, and content strategy", "version": "0.0", "x-build-id": "PDXlx6MK1r8vsUCq1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vistics~tiktok-search-suggestions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vistics-tiktok-search-suggestions-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vistics~tiktok-search-suggestions-scraper/runs": { "post": { "operationId": "runs-sync-vistics-tiktok-search-suggestions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vistics~tiktok-search-suggestions-scraper/run-sync": { "post": { "operationId": "run-sync-vistics-tiktok-search-suggestions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search Terms", "type": "array", "description": "List of search terms to fetch TikTok autocomplete suggestions for (e.g. dogs, funny cats).", "items": { "type": "string" } }, "region": { "title": "Region", "type": "string", "description": "Region code used to localize suggestions (e.g. US, GB, VN).", "default": "US" } } }, "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 } } } } } } } } } } ```