Doctoralia Data Extractor - scrape doctor data
Pay $10.00 for 1,000 results
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See alternative ActorsDoctoralia Data Extractor - scrape doctor data
Pay $10.00 for 1,000 results
Doctoralia Data Extractor will extract detailed information on healthcare professionals from Doctoralia. Ideal for market research, lead generation, and data analysis in the healthcare sector.
Giovanni BianciardiActor Metrics
14 monthly users
1.0 / 5 (1)
1 bookmark
97% runs succeeded
Created in Jun 2024
Modified 2 days ago
You can access the Doctoralia Data Extractor - scrape doctor data 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=giovannibiancia/doctoralia"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Doctoralia Data Extractor - scrape doctor data via Model Context Protocol (MCP) server
MCP server lets you use Doctoralia Data Extractor - scrape doctor data 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 Doctoralia Data Extractor - scrape doctor data 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 "country": "Spain",
8 "professions": [
9 "Psicólogo"
10 ],
11 "city": [
12 "moron de la frontera"
13 ]
14},
15 "name": "giovannibiancia/doctoralia"
16 }
17}'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 Doctoralia Data Extractor - scrape doctor data
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 "giovannibiancia/doctoralia"
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.
