Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡
Pay $8.99 for 1,000 results
Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡
Pay $8.99 for 1,000 results
Unlock the potential of the Google Scholar scraper tool! 📚✨ Easily collect academic papers based on your chosen keyword or research topic 🔍. Get essential details like the title 📝, author(s) 🖋️, publication date ⏰, journal/source 🌐, and direct links to full texts 🔗—ideal for researchers ! 🚀
Storm_ScraperActor Metrics
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Created in Jan 2025
Modified 2 days ago
You can access the Google Scholar Scraper: Fast & Affordable (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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=scrapestorm/google-scholar-scraper-fast-affordable-pay-per-result"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡ via Model Context Protocol (MCP) server
MCP server lets you use Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡ within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡ Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "keyword": "security",
8 "maxitems": 20,
9 "language": "English",
10 "country": "Any 🌍"
11},
12 "name": "scrapestorm/google-scholar-scraper-fast-affordable-pay-per-result"
13 }
14}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Google Scholar Scraper: Fast & Affordable (Pay Per Result) 📚⚡
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "scrapestorm/google-scholar-scraper-fast-affordable-pay-per-result"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
