# TikTok Hashtag Scraper (`apt_marble/tiktok-hashtag-scraper`) Actor Scrape TikTok videos by hashtag in seconds 🚀 Get views, likes, comments, shares, author stats, music & direct video URLs — no login or cookies needed. Export to JSON, CSV or Excel 📊 - **URL**: https://apify.com/apt\_marble/tiktok-hashtag-scraper.md - **Developed by:** [Hamza](https://apify.com/apt_marble) (community) - **Categories:** Social media, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.50 / 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 Hashtag Scraper **Scrape TikTok videos by hashtag in seconds 🚀** — get views, likes, comments, shares, author stats, music and direct video URLs. No login, no cookies, no browser extensions. Just enter a hashtag and download clean, structured data as JSON, CSV or Excel 📊 --- ### ✨ What it does Give the scraper one or more hashtags (like `fyp`, `cooking`, or `smallbusiness`) and it returns the videos posted under each tag — every record packed with full engagement metrics, creator details, sound info and media links. Perfect for spotting trends, finding creators, tracking campaigns and researching content — without copy-pasting anything by hand. ### 🎯 Use cases - 📈 **Trend research** — see which videos and sounds are blowing up under a tag - 🧑‍🎤 **Influencer discovery** — find creators by niche hashtag, with follower & engagement stats - 🏷️ **Campaign & brand monitoring** — track a branded or event hashtag over time - 🔍 **Competitor analysis** — study what's working in your space - 🎬 **Content & sound research** — discover trending music and formats - 🤖 **Data & AI pipelines** — feed structured TikTok data into your own tools ### 🚀 Quick start 1. Enter one or more **hashtags** (without the `#`). 2. Set **how many videos** you want per hashtag. 3. Click **Start** — and download your results when it finishes. ### 📥 Input | Field | Description | Default | |---|---|---| | **Videos with this hashtag** | One or more hashtags to scrape, **without** the `#` (e.g. `fyp`, `cooking`). | `fyp` | | **Number of videos per hashtag** | How many videos to collect for each hashtag. | `100` | | **Region** *(advanced)* | Two-letter country code for region-specific results (e.g. `US`, `GB`, `DE`). | `US` | | **Language** *(advanced)* | Two-letter language code (e.g. `en`, `fr`, `es`). | `en` | | **Concurrency** *(advanced)* | How many hashtags to process in parallel. | `3` | #### Example input ```json { "hashtags": ["fyp", "cooking"], "resultsPerHashtag": 100, "region": "US", "language": "en" } ```` ### 📤 Output You get **one row per video**, with rich fields ready to filter, sort and export. | Field | Description | |---|---| | `url`, `id` | Direct link to the video and its id | | `description` | Caption text | | `createTimeISO` | When it was posted | | `playCount` | ▶️ Views | | `diggCount` | ❤️ Likes | | `commentCount` | 💬 Comments | | `shareCount` | 🔁 Shares | | `collectCount` | 🔖 Saves | | `authorUniqueId`, `authorNickname` | Creator handle & display name | | `authorFollowerCount`, `authorVerified` | Creator followers & verified badge | | `musicTitle`, `musicAuthor`, `musicOriginal` | Sound used | | `duration`, `cover`, `downloadAddr` | Length, thumbnail & media URLs | | `hashtags`, `mentions`, `categories` | Tags, @mentions & content categories | | `hashtag` | Which input hashtag this video came from | #### Example output ```json { "id": "7300000000000000000", "url": "https://www.tiktok.com/@chef.maria/video/7300000000000000000", "description": "5-minute pasta that changed my life 🍝 #cooking #fyp", "createTimeISO": "2026-05-21T18:42:10.000Z", "playCount": 1840000, "diggCount": 233000, "commentCount": 4120, "shareCount": 18700, "collectCount": 51200, "authorUniqueId": "chef.maria", "authorNickname": "Maria 🍳", "authorVerified": true, "authorFollowerCount": 982000, "duration": 28, "cover": "https://p16-sign.tiktokcdn.com/...jpeg", "downloadAddr": "https://v16-webapp.tiktok.com/...mp4", "musicTitle": "original sound", "musicAuthor": "Maria 🍳", "musicOriginal": true, "hashtags": ["cooking", "fyp"], "mentions": [], "categories": ["Food & Drink"], "hashtag": "cooking", "position": 1, "scrapedAt": "2026-06-19T11:16:29.000Z" } ``` > 💡 Media links (`playAddr` / `downloadAddr`) are TikTok CDN URLs that expire after about an hour — download them soon after a run if you need the files. ### 💳 Pricing This Actor uses **pay-per-result** — you're charged per video returned, so you only pay for the data you actually get. ### ❓ FAQ **Do I need a TikTok account, login or cookies?** No. Just enter a hashtag and run it. **How many videos can I get per hashtag?** Set it with *Number of videos per hashtag*. Very large counts may take longer as more pages are loaded. **Can I scrape several hashtags at once?** Yes — add as many as you like to the hashtag list. **What if a hashtag returns fewer videos than requested?** TikTok limits how much of a feed is publicly available for some tags or regions, so a few hashtags may return fewer results than asked. That's expected, not an error. **In what formats can I export the data?** JSON, CSV, Excel, HTML and via the API — the standard Apify dataset export options. *** ⭐ **Found this useful?** Run it, and explore the rest of the scraper collection for YouTube, Reddit, LinkedIn and more. # Actor input Schema ## `hashtags` (type: `array`): One or more hashtags to scrape videos for. Enter them without the leading # (e.g. "fyp", not "#fyp"). ## `resultsPerHashtag` (type: `integer`): How many videos to scrape for each hashtag. TikTok returns videos in pages, so the final count may slightly overshoot to a page boundary. ## `region` (type: `string`): Two-letter country code used for region-specific results (e.g. us, gb, de). ## `language` (type: `string`): Two-letter language code for the results (e.g. en, fr, es). ## `maxConcurrency` (type: `integer`): How many hashtags to process in parallel. ## Actor input object example ```json { "hashtags": [ "fyp" ], "resultsPerHashtag": 100, "region": "US", "language": "en", "maxConcurrency": 3 } ``` # Actor output Schema ## `dataset` (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": [ "fyp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apt_marble/tiktok-hashtag-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 = { "hashtags": ["fyp"] } # Run the Actor and wait for it to finish run = client.actor("apt_marble/tiktok-hashtag-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 '{ "hashtags": [ "fyp" ] }' | apify call apt_marble/tiktok-hashtag-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_marble/tiktok-hashtag-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Hashtag Scraper", "description": "Scrape TikTok videos by hashtag in seconds 🚀 Get views, likes, comments, shares, author stats, music & direct video URLs — no login or cookies needed. Export to JSON, CSV or Excel 📊", "version": "0.0", "x-build-id": "bHwp8lXxGM9KOB9PW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_marble~tiktok-hashtag-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_marble-tiktok-hashtag-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_marble~tiktok-hashtag-scraper/runs": { "post": { "operationId": "runs-sync-apt_marble-tiktok-hashtag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_marble~tiktok-hashtag-scraper/run-sync": { "post": { "operationId": "run-sync-apt_marble-tiktok-hashtag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "hashtags" ], "properties": { "hashtags": { "title": "Videos with this hashtag", "type": "array", "description": "One or more hashtags to scrape videos for. Enter them without the leading # (e.g. \"fyp\", not \"#fyp\").", "default": [ "fyp" ], "items": { "type": "string" } }, "resultsPerHashtag": { "title": "Number of videos per hashtag", "minimum": 1, "type": "integer", "description": "How many videos to scrape for each hashtag. TikTok returns videos in pages, so the final count may slightly overshoot to a page boundary.", "default": 100 }, "region": { "title": "Region (advanced)", "type": "string", "description": "Two-letter country code used for region-specific results (e.g. us, gb, de).", "default": "US" }, "language": { "title": "Language (advanced)", "type": "string", "description": "Two-letter language code for the results (e.g. en, fr, es).", "default": "en" }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many hashtags to process in parallel.", "default": 3 } } }, "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 } } } } } } } } } } ```