DataBlue vs ScraperAPI — which Google SERP API wins in 2026?
ScraperAPI is great for general scraping but charges 25 credits per Google SERP and returns raw HTML. DataBlue is a Google-first SERP API: 1 credit per SERP, parsed JSON, ~80% cheaper. Honest head-to-head below.
Why DataBlue wins.
- ~80% cheaper for Google SERPs. $29 vs ~$149 at 50K SERPs/month — because ScraperAPI charges 25 credits per Google SERP and we charge 1.
- Parsed JSON, not raw HTML. Skip BeautifulSoup. Get organic, ads, PAA, knowledge graph as typed fields.
- Built for SERP, not general scraping. Faster responses, higher Google success rate, and Google verticals (Maps, Shopping, News) ship first.
- AI-ready out of the box. Schema-guided extraction + MCP server included. No autoparse upgrade required.
Feature-by-feature comparison.
What you actually care about, not a 50-row marketing matrix.
Switch in 10 minutes.
Stop building Google URLs by hand. Stop parsing HTML. Below is the exact diff most teams ship in their first commit.
Drop the URL-encoded proxy call
ScraperAPI is a fetch-and-return-HTML proxy. DataBlue gives you a typed SDK with parsed JSON.
# ScraperAPI import requests
# DataBlue pip install datablue
Replace the URL with a method call
Stop encoding Google URLs and stop paying the 25-credit premium for autoparse. Just call .serp().
url = "https://www.google.com/search?q=running+shoes" r = requests.get( "https://api.scraperapi.com", params={"api_key": "...", "url": url, "autoparse": "true"}, )
from datablue import DataBlue client = DataBlue(api_key="db_...") results = client.serp(q="running shoes")
Skip the HTML parsing layer
ScraperAPI returns HTML you have to parse with BeautifulSoup. DataBlue returns structured JSON ready for your pipeline.
from bs4 import BeautifulSoup soup = BeautifulSoup(r.text, "html.parser") organic = [a["href"] for a in soup.select("div.g a")]
organic = results["organic"] paa = results["people_also_ask"]
When ScraperAPI might still win.
DataBlue is a Google SERP API, not a general-purpose proxy. Here's when ScraperAPI is genuinely the right tool.
- You're scraping non-Google sites at scale.Amazon, e-commerce sites, forums, news outlets — that's ScraperAPI's home turf. We don't cover it.
- You need a generic proxy with custom JS rendering. ScraperAPI exposes a flexible proxy mode for arbitrary URLs. DataBlue is opinionated and only does Google verticals.
- Your team wants HTML, not JSON.If your downstream pipeline already eats HTML, forcing it through a JSON shape is friction you don't need.
What teams actually save.
50K Google SERPs/month with autoparse on ScraperAPI.

