# TikTok Hashtag Video Monitor Lite (`itayekk1/tiktok-hashtag-scraper-lite`) Actor Collect public TikTok video rows for specific hashtags. Hashtag URLs or hashtag names only. - **URL**: https://apify.com/itayekk1/tiktok-hashtag-scraper-lite.md - **Developed by:** [Itay Elgazar](https://apify.com/itayekk1) (community) - **Categories:** Social media, Marketing, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Hashtag Video Monitor Lite Collect public TikTok video rows for specific hashtags. Use it when you already know the hashtags you want to monitor and need video URLs, captions, authors, and public engagement counts. ### What you get Each video row can include: - hashtag - hashtag URL - TikTok video URL - video ID - caption text - public author fields - play, like, comment, share, and save counts - creation time - music and video metadata when visible - pagination fields - structured error details when a hashtag feed is unavailable ### Quick start ```json { "hashtags": ["apify", "webscraping"], "maxVideosPerHashtag": 3, "maxPagesPerHashtag": 1, "scrollsPerHashtag": 3, "shouldDownloadVideos": false, "shouldDownloadCovers": false } ```` You can also pass full hashtag URLs: ```json { "hashtagUrls": ["https://www.tiktok.com/tag/apify"], "maxVideosPerHashtag": 10 } ``` ### Input fields - `hashtags` — hashtag names, with or without `#`. - `hashtagUrls` — full TikTok hashtag URLs. - `maxVideosPerHashtag` — maximum videos per hashtag. - `maxPagesPerHashtag` — maximum feed pages per hashtag. - `scrollsPerHashtag` — small number of scroll attempts to load public rows. - `shouldDownloadVideos` — download public video files to the run key-value store when possible. - `shouldDownloadCovers` — download cover images to the run key-value store when possible. ### Output The Actor saves one dataset row per public hashtag video, plus error rows for hashtags that cannot be processed. ### Limits This Actor is hashtag-only. It does not scrape profiles, search results, sounds, followers, following lists, private data, or account-only content. It does not log in, use user cookies, or bypass CAPTCHA. # Actor input Schema ## `hashtags` (type: `array`): Plain hashtag names, with or without #. Example: apify, webscraping. ## `hashtagUrls` (type: `array`): TikTok hashtag URLs. Example: https://www.tiktok.com/tag/apify ## `maxVideosPerHashtag` (type: `integer`): Maximum videos to return per hashtag. Hard-capped at 50. ## `maxPagesPerHashtag` (type: `integer`): Maximum hashtag feed pages to process. ## `scrollsPerHashtag` (type: `integer`): Number of scroll attempts to load more public rows. ## `shouldDownloadCovers` (type: `boolean`): Download public cover image URLs to the run key-value store when available. ## `shouldDownloadVideos` (type: `boolean`): Download public video URLs to the run key-value store when available. TikTok source URLs can expire. ## Actor input object example ```json { "hashtags": [ "apify", "webscraping" ], "maxVideosPerHashtag": 10, "maxPagesPerHashtag": 1, "scrollsPerHashtag": 3, "shouldDownloadCovers": false, "shouldDownloadVideos": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `runSummary` (type: `string`): No description # 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 = { "hashtags": [ "apify", "webscraping" ] }; // Run the Actor and wait for it to finish const run = await client.actor("itayekk1/tiktok-hashtag-scraper-lite").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 = { "hashtags": [ "apify", "webscraping", ] } # Run the Actor and wait for it to finish run = client.actor("itayekk1/tiktok-hashtag-scraper-lite").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 '{ "hashtags": [ "apify", "webscraping" ] }' | apify call itayekk1/tiktok-hashtag-scraper-lite --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=itayekk1/tiktok-hashtag-scraper-lite", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Hashtag Video Monitor Lite", "description": "Collect public TikTok video rows for specific hashtags. Hashtag URLs or hashtag names only.", "version": "0.1", "x-build-id": "bXKBx0GXPMUkdd0l8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/itayekk1~tiktok-hashtag-scraper-lite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-itayekk1-tiktok-hashtag-scraper-lite", "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/itayekk1~tiktok-hashtag-scraper-lite/runs": { "post": { "operationId": "runs-sync-itayekk1-tiktok-hashtag-scraper-lite", "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/itayekk1~tiktok-hashtag-scraper-lite/run-sync": { "post": { "operationId": "run-sync-itayekk1-tiktok-hashtag-scraper-lite", "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": { "hashtags": { "title": "Hashtags", "type": "array", "description": "Plain hashtag names, with or without #. Example: apify, webscraping.", "items": { "type": "string" } }, "hashtagUrls": { "title": "Hashtag URLs", "type": "array", "description": "TikTok hashtag URLs. Example: https://www.tiktok.com/tag/apify", "items": { "type": "string" } }, "maxVideosPerHashtag": { "title": "Maximum videos per hashtag", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum videos to return per hashtag. Hard-capped at 50.", "default": 10 }, "maxPagesPerHashtag": { "title": "Maximum feed pages per hashtag", "minimum": 1, "maximum": 3, "type": "integer", "description": "Maximum hashtag feed pages to process.", "default": 1 }, "scrollsPerHashtag": { "title": "Scrolls per hashtag", "minimum": 0, "maximum": 8, "type": "integer", "description": "Number of scroll attempts to load more public rows.", "default": 3 }, "shouldDownloadCovers": { "title": "Download cover images", "type": "boolean", "description": "Download public cover image URLs to the run key-value store when available.", "default": false }, "shouldDownloadVideos": { "title": "Download videos", "type": "boolean", "description": "Download public video URLs to the run key-value store when available. TikTok source URLs can expire.", "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 } } } } } } } } } } ```