AI Web Search Scraper - SERP & Page Content for LLM RAG
Pricing
Pay per usage
AI Web Search Scraper - SERP & Page Content for LLM RAG
Web search API for LLMs: query -> clean results (title, URL, snippet, position, domain) and OPTIONALLY each page's full content as LLM-ready Markdown. Ground ChatGPT/Claude and RAG pipelines with live web results. Google (browser-rendered) or DuckDuckGo engine. Export JSON, CSV or Markdown.
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AI Web Search Scraper — SERP & Page Content for LLMs & RAG
Web search for LLMs. Give it a query (or several) and get back clean, ranked results — title, URL, snippet, position, domain — and optionally the full content of each result page as LLM-ready Markdown. It's the search half of a RAG web browser: pair search with readable pages to ground ChatGPT / Claude or feed a RAG pipeline. No API key.
What it does
- Query → ranked results with title, URL, snippet, domain and position.
- Optional page content — fetches each result and extracts clean Markdown (boilerplate stripped) with a token count.
- Engines: DuckDuckGo (fast, reliable, browser-rendered) or Google (Camoufox-rendered; use a residential proxy).
- Multiple queries per run; choose language and country.
- Export to JSON, CSV, or Markdown, or pull via the Apify API.
Input
| Field | Description |
|---|---|
queries | One or more search queries. |
engine | duckduckgo (default) or google. |
maxResults | Results per query. |
language / country | hl / gl codes. |
fetchPageContent | Also fetch each result page as Markdown. |
maxCharsPerPage | Truncate page content to fit token budgets. |
proxyConfiguration | Proxy (residential recommended for Google). |
Example
{ "queries": ["retrieval augmented generation"], "engine": "duckduckgo","maxResults": 10, "fetchPageContent": true }
Output
{ "query": "retrieval augmented generation", "position": 1,"title": "Retrieval-augmented generation - Wikipedia","url": "https://en.wikipedia.org/wiki/...", "domain": "en.wikipedia.org","contentSuccess": true, "markdown": "# Retrieval-augmented generation ...", "tokensApprox": 1800 }
Use cases
- Ground an LLM / agent with live web results and readable page text.
- RAG ingestion — search a topic, fetch top pages to Markdown, chunk into a vector DB.
- Research & monitoring — bulk queries → structured SERP for analysis.
FAQ
Do I need an API key? No. DuckDuckGo works out of the box; for Google, keep the residential proxy on.
Use responsibly and in line with each search engine's terms.
🤖 Use with Claude or ChatGPT (MCP)
Run this actor from Claude, ChatGPT, Cursor or any MCP client via the Apify MCP server. In Claude Desktop: Settings → Connectors → Add custom connector → https://mcp.apify.com. Or expose just this tool:
{ "mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=get_anything/ai-web-search-scraper" } } }
Full guide: Connect Apify actors to Claude & ChatGPT.
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