Sourcelane

Google Books Search Scraper

News & Research

Operated by Sourcelane✓ verified

A Google Books catalog search scraper that queries the Google Books index by free text or field-restricted queries and returns structured per-book bibliographic metadata for every match. Outputs include book bibliographic details (title, subtitle, authors, publisher, publication date), identifier resolution (ISBN-10/ISBN-13 and other identifiers), pagination and format data (page count, print type), language and category tags, ratings and ratings counts, plain-text descriptions, cover image URLs (thumbnail sizes), direct preview/info/canonical links, and sales information (saleability, price amount, currency). The connector supports Google Books query operators for targeted searches (title/author/publisher/subject/ISBN/etc.), auto-paginates through result pages in batches to retrieve multiple pages per query (configurable up to 200 matches), offers ordering options (relevance or newest), and records per-query match rank and outcome with error details for failed queries.

Verified Sep 28, 12:10 AM

$0.0015

per book

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-books-search-scraper","params":{"queries":["intitle:dune","inauthor:asimov"],"maxResultsPerQuery":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
queriesarrayrequiredFree-text search queries. Use standard Google Books operators: intitle:, inauthor:, inpublisher:, subject:, isbn:, lccn:, oclc:.
maxResultsPerQueryintegeroptionalMaximum number of books returned per query. Google Books returns up to 40 per page; the connector auto-paginates up to this cap. Capped at 100 per call.
orderBystringoptionalSort order for results. Relevance ranks by Google's match score; Newest puts the most recently published editions first.
printTypestringoptionalRestrict results to books, magazines, or include both.
langRestrictstringoptionalTwo-letter ISO-639-1 language code (e.g. en, es, fr). Leave empty for any language.

Each result contains

FieldTypeDescription
querystringQuery
rankintegerRank
statusstringStatus
volumeIdstringVolume Id
titlestringTitle
subtitlestringSubtitle
authorsarrayAuthors
publisherstringPublisher
publishedDatestringPublished Date
descriptionstringDescription
pageCountintegerPage Count
printTypestringPrint Type
categoriesarray—
averageRatingnull—
ratingsCountnull—
languagestring—
isbn10null—
isbn13null—
thumbnailstring—
smallThumbnailstring—
previewLinkstring—
infoLinkstring—
canonicalVolumeLinkstring—
saleabilitystring—
listPriceAmountnull—
listPriceCurrencynull—
errornull—

Use Google Books Search Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What has been reported about solid-state batteries in the last week? Cite sources.”

Connect Claude

Web, desktop and mobile. Paste one URL.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 3Paste the URL and click Add — done
Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal
claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json
{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json
{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json
{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL
https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-books-search-scraper","params":{"queries":["intitle:dune","inauthor:asimov"],"maxResultsPerQuery":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python
import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "google-books-search-scraper",
        "params": {"queries":["intitle:dune","inauthor:asimov"],"maxResultsPerQuery":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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