TikTok Hashtag Scraper avatar
TikTok Hashtag Scraper

Pricing

from $2.00 / 1,000 videos

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TikTok Hashtag Scraper

TikTok Hashtag Scraper

Developed by

Clockworks

Clockworks

Maintained by Apify

Scrape TikTok hashtag data. Just add one or more hashtags and extract TikTok videos with that hashtag: URLs, likes, country of creation, video and music metadata, TikTok creator data. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

4.6 (8)

Pricing

from $2.00 / 1,000 videos

78

Total users

5K

Monthly users

529

Runs succeeded

>99%

Last modified

8 hours ago

You can access the TikTok Hashtag Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=clockworks/tiktok-hashtag-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with ♪ Tiktok Hashtag Scraper

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=clockworks/tiktok-hashtag-scraper along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=clockworks/tiktok-hashtag-scraper",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.