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Apify RAG Web Browser Actor
x402
Apify RAG Web Browser Actor is a paid API for AI agents from apify-api-git-br-apify-typed-input-schemas-merit-systems.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Runs the Apify RAG Web Browser actor which queries Google Search, scrapes the top N result pages using a full browser, and returns their text content for AI/RAG pipelines
Price / call$0.1
Success—
StatusUnknown
How this service works
Start the "RAG Web Browser" Apify actor (apify/rag-web-browser). Web search and fetch tool for AI agents and RAG pipelines. It queries Google Search, scrapes the top N pages using a full web browser, and returns their conten… Returns a signed token for polling /api/actors/results with SIWX.
Output
Returns a signed token for polling /api/actors/results with SIWX, and eventually the scraped text content of the top N Google search result pages as processed by a real web browser
Example use cases
Example prompt
“Search Google for 'best practices for LLM fine-tuning' and scrape the top 5 result pages using a full browser so I can use the content in my RAG pipeline.”
Technical details
Endpoint
POSThttps://apify-api-git-br-apify-typed-input-schemas-merit-systems.vercel.app/api/actors/apify/rag-web-browser/callWhen to prefer
Use this endpoint when you need real web browser-rendered content from top Google search results for RAG pipelines or AI agent context — especially when JavaScript-heavy pages require full browser rendering rather than simple HTTP fetches. Prefer this over plain HTTP scrapers when pages rely on client-side rendering.
Side effects
- Search query returns no results — empty content array
- Target pages block scraping — partial or missing content for some URLs
- Actor run times out for complex or slow-loading pages
- Invalid or missing query parameter — 400 error
- Insufficient USDC balance — payment failure before actor starts
- Polling token expires before results are ready
Input
{
"input": {
"body": {
"input": {
"query": "artificial intelligence",
"debugMode": false,
"maxResults": 3,
"scrapingTool": "raw-http",
"outputFormats": [
"markdown"
],
"serpMaxRetries": 2,
"serpProxyGroup": "GOOGLE_SERP",
"htmlTransformer": "none",
"maxRequestRetries": 1,
"desiredConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true
},
"requestTimeoutSecs": 40,
"removeCookieWarnings": true,
"dynamicContentWaitSecs": 10,
"removeElementsCssSelector": "nav, footer, script, style, noscript, svg, img[src^='data:']"
}
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"run": {
"id": "nj7SQapzVgcxev4ix",
"status": "READY",
"actorId": "3ox4R101TgZz67sLr",
"startedAt": "2026-06-18T05:13:26.942Z",
"usageTotalUsd": 0.00005,
"defaultDatasetId": "3ZZ8oTDQffNsLy3YL"
},
"token": "eyJhbGciOiJIUzI1NiJ9.eyJydW5JZCI6Im5qN1NRYXB6VmdjeGV2NGl4IiwiYWN0b3JJZCI6ImFwaWZ5L3JhZy13ZWItYnJvd3NlciIsImRlZmF1bHREYXRhc2V0SWQiOiIzWlo4b1REUWZmTnNMeTNZTCIsInciOiIweDljYzQyZjNkOTI0NWI4NjdhY2NjZDYzMGI0M2Y5MDZjMTY2NWIxNzYiLCJpYXQiOjE3ODE3NTk2MDcsImV4cCI6MTc4NDM1MTYwN30.MXZVkqGsPQ5SpL7XWbcAbO57abWFdrTbMNk9Fi1bNHE"
}Tags
x402
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