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SERP API Examples — Google & Bing Search Results as JSON

Query search engines programmatically and get parsed JSON back: organic results, rank, title, link, snippet, related searches. No CAPTCHA farms, no HTML parsing, one consistent schema across engines.

Google results in 6 lines of Python

import requests

resp = requests.post(
    "https://app.quantumproxies.io/api/v1/scraper/serp",
    headers={"Authorization": "Bearer qp_live_YOUR_KEY"},
    json={"query": "best wireless headphones", "engine": "google", "country": "us", "num": 10},
)
for r in resp.json()["organic"]:
    print(r["rank"], r["title"], r["link"])

Response shape:

{
  "general": { "engine": "google", "query": "best wireless headphones" },
  "organic": [
    { "rank": 1, "title": "The 8 Best Wireless Headphones of 2026",
      "link": "https://...", "description": "After testing 42 models..." }
  ],
  "related": ["best wireless headphones under 100"]
}

Localized SERPs

country controls the exit geo and the localized result set — "country": "de" returns what a user in Germany sees, which is routinely a different top-10 than the US one:

json={"query": "kaffeemaschine test", "engine": "google", "country": "de", "num": 10}

curl

curl -X POST https://app.quantumproxies.io/api/v1/scraper/serp \
  -H "Authorization: Bearer qp_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "web scraping api", "engine": "google", "country": "us", "num": 10}'

Why this is hard to DIY

Google serves plain HTTP clients a JS challenge, soft-throttles datacenter IPs after a handful of requests, and changes markup constantly. A SERP API absorbs all of that — you get JSON or a refund on failed pages.

Full demo comparing US vs DE top-10 side by side: serp.py.

Powered by the QuantumProxies SERP API — Google, Bing & DuckDuckGo, priced per search. Docs at quantumproxies.io/serp-api/docs, keys at app.quantumproxies.io/api-keys.

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Google & Bing search results as structured JSON: organic ranks, snippets, localized SERPs, in Python and curl.

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