Pricing
$1.00 / 1,000 posts
The Weibo Scraper efficiently extracts posts from Weibo's main feed, capturing likes, comments, shares, text content, images, videos, and profile data. It allows setting a maximum number of posts to fetch, making it ideal for social media analysis, trend monitoring, and engagement tracking
5.0 (1)
Pricing
$1.00 / 1,000 posts
5
81
13
Issues response
5.1 days
Last modified
7 months ago
You can access the Weibo 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/?actors=piotrv1001/weibo-scraper", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}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/?actors=piotrv1001/weibo-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/?actors=piotrv1001/weibo-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.