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How to Replace Google Custom Search API with Scavio

Move from Google Custom Search API to Scavio. Lower limits, structured JSON, multi-platform — drop-in for AI assistant pipelines.

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An r/n8n thread mentioned the OP was using 'Google Custom Search plus manual scraping' and wanted a single API. This tutorial walks the replacement path. Scavio has no extract or crawl endpoint - it returns structured search data (SERP rows, Reddit post bodies, YouTube transcripts), not arbitrary page HTML or markdown. This tutorial uses what the API really returns for a URL: the Google result row, with its title, link and snippet. Fetch the page yourself when you genuinely need the full body.

Prerequisites

  • Python 3.10+
  • Scavio API key

Walkthrough

Step 1: Identify Google Custom Search calls

Usually with a CSE key + cx ID.

Python
# Before:
# r = requests.get('https://www.googleapis.com/customsearch/v1', params={'key': KEY, 'cx': CX, 'q': q})

Step 2: Replace with Scavio

No CX needed; Scavio searches the open web.

Python
# After:
r = requests.post('https://api.scavio.dev/api/v2/google',
    headers={'Authorization': f'Bearer {SCAVIO_API_KEY}'},
    json={'query': q}).json()

Step 3: Map response

items[] becomes organic_results[].

Python
# Google CSE: r['items'][i]['link']
# Scavio: r['organic_results'][i]['link']

Step 4: Add extract endpoint for content

Replaces the 'manual scraping' half of the OP's flow.

Python

# Scavio returns structured search data, not page bodies: there is no extract
# or crawl endpoint. What you can get for a URL is the Google result row it
# already has - title, link and snippet. Fetch the page yourself when you need
# the full body.
def scavio_page_row(url, headers):
    target = url.split("://")[-1].rstrip("/")
    r = requests.post("https://api.scavio.dev/api/v2/google", headers=headers,
                      json={"query": "site:" + target}, timeout=30)
    r.raise_for_status()
    rows = r.json().get("organic_results", [])
    return rows[0] if rows else {"title": "", "link": url, "snippet": ""}

def fetch(url):
    return scavio_page_row(url, {'Authorization': f'Bearer {SCAVIO_API_KEY}'}).get('snippet', '')

Step 5: Compare quotas

Google CSE caps at 100/day on free, $5/1K above. Scavio free is 50 credits on signup + $30/mo for 7K.

Text
// Daily research agent making 50 queries: Google CSE = $7.50/mo above quota; Scavio = $30/mo flat once the 50 free signup credits are used.

Python Example

Python
# Migration takes ~20 minutes for a typical agent.

JavaScript Example

JavaScript
// Same in TS.

Expected Output

JSON
Same query intent, structured JSON, plus extract endpoint that replaces 'manual scraping' under the same key. No more two-vendor split.

Related Tutorials

  • How to Add Structured Search to an AI Assistant

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Python 3.10+. Scavio API key. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

Workflow

Migrate Google CSE Integration to Search API

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Best Of

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Solution

Migrate from Google CSE to a Structured Search API

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Workflow

Google CSE Migration Checklist Workflow

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Comparison

Google CSE (Paid Tier) vs Third-Party SERP API (Scavio, SerpApi, Serper)

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Solution

Replace Google Programmable Search Engine with Scavio API

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Start Building

Move from Google Custom Search API to Scavio. Lower limits, structured JSON, multi-platform — drop-in for AI assistant pipelines.

Get Free API KeyRead the Docs
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