Integration

ScraperAPI integration

ScraperAPI structured data endpoints. Pull already parsed JSON for Amazon products, searches and offers, eBay products and searches, Walmart products, searches, categories and reviews, Google search, news, jobs, shopping and maps results, Google AI Mode and Gemini answers, and ChatGPT and Perplexity answers with their sources, plus the request counters of the account. ScraperAPI handles the proxies, the retries and the parsing, so a call answers with fields rather than with a page to parse.

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in ScraperAPI.Built from the 19 ScraperAPI tools below, on the connection you add once.

Common ScraperAPI use cases

  • monitoring press coverage of a brand
  • tracking the price of an eBay listing
  • tracking where a page ranks for a keyword
  • comparing a price across Walmart and Amazon
  • tracking every product in a category over time
  • comparing prices for a product across merchants
  • tracking which roles a competitor is hiring for
  • watching the going rate for an item across sellers
  • checking what Google's AI answer says about a brand
  • watching who else sells a product and at what price

What you can do with ScraperAPI

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Product, 8 operations

  • get_amazon_productGet amazon productGETReturns the parsed details of one Amazon product from its ASIN.
  • get_ebay_productGet ebay productGETReturns the parsed details of one eBay listing.
  • get_walmart_categoryGet walmart categoryGETReturns the products listed in a Walmart category.
  • get_walmart_productGet walmart productGETReturns the parsed details of one Walmart product.
  • search_amazonSearch amazonGETReturns the parsed results of an Amazon search.
  • search_ebaySearch ebayGETReturns the parsed results of an eBay search with filters on condition and format.
  • search_google_shoppingSearch google shoppingGETReturns the parsed product results of a Google Shopping search.
  • search_walmartSearch walmartGETReturns the parsed results of a Walmart search.

Ai answer, 4 operations

  • search_chatgptSearch chatgptGETReturns the answer ChatGPT gives for a query, optionally with the sources it cited.
  • search_google_ai_modeSearch google ai modeGETReturns the AI generated answer Google shows for a query.
  • search_google_geminiSearch google geminiGETReturns the answer Gemini gives for a query.
  • search_perplexitySearch perplexityGETReturns the answer Perplexity gives for a query.

Account, 1 operation

  • get_accountGet accountGETReturns how many requests the account has made, how many failed and how many run concurrently.

Job result, 1 operation

  • search_google_jobsSearch google jobsGETReturns the parsed job listings of a Google Jobs search.

News result, 1 operation

  • search_google_newsSearch google newsGETReturns the parsed results of a Google News search.

Offer, 1 operation

  • get_amazon_offersGet amazon offersGETReturns the sellers and prices offering one Amazon product.

Place, 1 operation

  • search_google_mapsSearch google mapsGETReturns the parsed places of a Google Maps search around a coordinate.

Review, 1 operation

  • get_walmart_reviewsGet walmart reviewsGETReturns the reviews of a Walmart product, filtered by rating or verified purchase.

Search result, 1 operation

  • search_googleSearch googleGETReturns the parsed organic results of a Google search.

Use ScraperAPI from Claude Code, Cursor or Codex

Connect ScraperAPI in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its ScraperAPI operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect ScraperAPI

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect ScraperAPI once

    Add your ScraperAPI connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

ScraperAPI integration FAQ

What can you do with the ScraperAPI integration?

LiveContext exposes 19 operations on ScraperAPI, covering product, ai answer, account and job result. Common uses include monitoring press coverage of a brand, tracking the price of an eBay listing and tracking where a page ranks for a keyword.

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