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🔍 GPT Search [Private API]
Pay $10.00 for 1,000 answers
🔍 GPT Search [Private API]
Pay $10.00 for 1,000 answers
Use OpenAI's GPT4o Search mode via API! No cookie or proxy is required. This actor uses direct private API, so no scraping or browser is used, resulting in faster response times (skips initialization) and lower resource consumption (RAM/CPU).
Open APIActor Metrics
6 Monthly users
5.0 / 5 (1)
1 bookmark
>99% runs succeeded
Created in Mar 2025
Modified 2 days ago
You can access the 🔍 GPT Search [Private API] programmatically from your own applications by using the Apify API. You can 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
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🔍 GPT Search [Private API] via Model Context Protocol (MCP) server
MCP server lets you use 🔍 GPT Search [Private API] 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 🔍 GPT Search [Private API] 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": { # Actor inputs
7 "prompt": ...,
8 ...
9 },
10 "name": "NBZPJfTcVDbrsa08T"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}Configure local MCP Server via standard input/output for 🔍 GPT Search [Private API]
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", "@apify/actors-mcp-server",
7 "--actors", "NBZPJfTcVDbrsa08T"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}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.
