🏯 Tiktok Location Scraper (Pay Per Result) avatar
🏯 Tiktok Location Scraper (Pay Per Result)

Pricing

$0.30 / 1,000 posts

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🏯 Tiktok Location Scraper (Pay Per Result)

🏯 Tiktok Location Scraper (Pay Per Result)

Developed by

API Dojo

API Dojo

Maintained by Community

Kudos to the exceptional TikTok Location Scraper, the champion in speed, cost-effectiveness, and efficiency for extracting location-based posts from TikTok.com. Retrieve any post that is tagged on any location at a blazing-fast speed! Extremely cheap and perfectly suitable for all needs.

0.0 (0)

Pricing

$0.30 / 1,000 posts

6

Total users

332

Monthly users

106

Runs succeeded

>99%

Issues response

0.31 hours

Last modified

2 days ago

You can access the 🏯 Tiktok Location Scraper (Pay Per Result) 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": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"apidojo/tiktok-location-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with 🏯 Tiktok Location Scraper (Pay Per Result)

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

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

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.