The ScraperAPI Alternative
Made for Google SERPs
ScraperAPI is a great general-purpose scraper — but it bills 25 credits per Google SERP and hands you raw HTML to parse. DataBlue is Google-first: 1 credit per SERP, parsed JSON, ~1.2s responses, and credits that never expire. The same Google results for about 80% less.
Drop the HTML Parser, Keep One Call.
With ScraperAPI you hand-encode a Google URL, route it through the proxy, then run BeautifulSoup over whatever comes back. DataBlue replaces all three steps with a single call that returns parsed organic, ads, and PAA at the top level.
# Before — ScraperAPI (proxy + parse HTML) import requests from bs4 import BeautifulSoup url = "https://www.google.com/search?q=running+shoes" r = requests.get( "https://api.scraperapi.com", params={"api_key": "...", "url": url, "autoparse": "true"}) soup = BeautifulSoup(r.text, "html.parser") # After — DataBlue (one call, parsed JSON) from datablue import DataBlue client = DataBlue(api_key="db_...") res = client.search(q="running shoes") organic = res["organic"]
The Honest Side-by-Side.
No cherry-picking. Here's how the two stack up on the things developers actually feel for Google SERPs — credits per search, raw HTML vs parsed JSON, speed, and whether the output is ready for an LLM.
| Feature | ScraperAPI | DataBlue |
|---|---|---|
| Free tier | 5,000 cr ≈ 200 SERPs | 1,000 SERPs / mo |
| Credits per Google SERP | 25 (premium) | 1 |
| 50,000 Google SERPs / mo | ~$149 (Business) | $29 (Starter) |
| Output | Raw HTML (you parse) | Parsed JSON |
| Structured People Also Ask | DIY from HTML | Built in |
| Avg SERP response time | 3–6s | ~1.2s |
| LLM-ready output | No | Clean JSON + markdown |
| MCP / AI-agent ready | No | Yes |
| Credits expire | Monthly reset | Never |
Why Developers Switch
Off ScraperAPI.
Stop Paying 25× for Google
ScraperAPI applies a premium multiplier to Google — 25 credits per SERP — so a single search costs as much as 25 ordinary fetches. At 50,000 SERPs a month that's roughly $149. DataBlue charges 1 credit per SERP, flat, for $29. Same Google results, about 80% off.
Parsed JSON, Not Raw HTML
ScraperAPI returns the page's HTML — or charges extra credits for autoparse — and leaves you to run BeautifulSoup or Cheerio. DataBlue returns organic, ads, shopping, People Also Ask, and the knowledge graph as typed JSON, so you delete the parser layer entirely.
Built for SERP, Not a Generic Proxy
ScraperAPI is excellent at general-purpose scraping, but Google isn't its specialty. DataBlue is Google-first: a higher success rate on Google, ~1.2s responses instead of 3–6s, and verticals like Maps, Shopping, and News that ship first.
Credits That Don't Reset
ScraperAPI credits reset every month, so a quiet week is money you simply lose — and the 25× multiplier means they drain fast. DataBlue credits never expire, on a flat 1-credit model with no premium tiers hiding in the fine print.
What ScraperAPI Costs at Scale.
Because each Google SERP burns 25 credits, ScraperAPI's plans drain far faster for SERP work than the headline credit counts suggest. Here's the same monthly Google SERP volume, priced honestly on both sides.
| Monthly SERPs | ScraperAPI | DataBlue | You save |
|---|---|---|---|
| 1,000 | ~$49 (25k cr) | Free ($0) | $49 / mo |
| 10,000 | ~$99 (250k cr) | $29 (Starter) | $70 / mo |
| 50,000 | ~$149 (Business) | $29 (Starter) | $120 / mo |
| 250,000 | ~$299+ (Scale) | $99 (Growth) | $200+ / mo |
| 1,000,000 | Enterprise quote | $299 (Pro) | thousands |
The 25-credit multiplier is the whole story: ScraperAPI is priced for general scraping, so dedicated Google SERP volume gets expensive fast, while DataBlue's flat 1-credit plans stay cheap as you scale. (ScraperAPI figures are estimates at 25 credits per SERP — check their current plans for your exact mix.)
Where ScraperAPI Falls Short.
To be fair, ScraperAPI is a mature, reliable scraper, and for arbitrary websites it's a genuinely strong tool. But it was built as a general-purpose proxy, not a SERP API — and a handful of its choices quietly work against you when Google is what you need.
| ScraperAPI limitation | Why it costs you | The DataBlue way |
|---|---|---|
| 25 credits per Google SERP | A premium multiplier that quietly inflates the bill. | Flat 1 credit per SERP — no multipliers. |
| Returns raw HTML | You run BeautifulSoup / Cheerio to extract results. | Parsed organic, ads, PAA as typed JSON. |
| autoparse is an add-on | Structured Google data costs extra credits. | Structured output included, always. |
| 3–6s per SERP | Proxy fetch + render adds latency to every call. | ~1.2s sync responses. |
| Credits reset monthly | A quiet week is money you simply lose. | Credits never expire — use them whenever. |
| No MCP / agent support | Glue code to wire it into Claude, Cursor & co. | Native MCP server — agents search the web directly. |
| General-purpose, not SERP-tuned | Lower Google success rate, no native verticals. | Google-first: Maps, Shopping, News built in. |
None of these matter if you're scraping arbitrary sites — that's ScraperAPI's home turf. But the moment Google SERPs are the bulk of your spend, the multiplier and the HTML parsing are exactly why teams building for AI move the SERP piece to a dedicated API.
Moving Off ScraperAPI, Step by Step.
There's no big rewrite and no migration weekend. Most teams have DataBlue running next to ScraperAPI in an afternoon, then flip the switch once they've watched the output line up.
Grab a Free Key
Sign up and get 1,000 credits instantly — no card required. That's 1,000 real Google SERPs to test with. Drop your DataBlue key next to your ScraperAPI one in your environment file. Nothing else changes yet.
Replace URL + Parser With One Call
Swap the hand-encoded Google URL and the BeautifulSoup step for a single client.search() call against api.datablue.dev/v1/search, and read organic, ads, and people_also_ask straight off the top level. Diff it against your parsed HTML — the same data is there, already structured.
Flip the Switch
Once the output checks out, swap the endpoint in production and stop routing SERPs through ScraperAPI's proxy. Since credits never expire, there's no balance to burn down — you start saving the 25× multiplier from the very first request.
When ScraperAPI Still Wins.
DataBlue is a Google SERP API, not a general-purpose proxy. Here's when ScraperAPI is genuinely the right tool, and we'll happily say so.
You scrape non-Google sites at scale
Amazon, e-commerce, forums, news outlets — that's ScraperAPI's home turf. DataBlue is Google-only, so for arbitrary URLs, ScraperAPI is the right call.
You need a generic proxy with custom JS
ScraperAPI exposes a flexible proxy mode for any URL with custom rendering. DataBlue is opinionated and only does Google verticals.
Your pipeline wants HTML, not JSON
If your downstream already consumes raw HTML, forcing it through a JSON shape is friction you don't need. ScraperAPI fits that model natively.
Comparing ScraperAPI Alternatives?
ScraperAPI isn't the only option — and most of its rivals carry their own baggage. SerpApi resets your credits every month; DataForSEO is task-based and complex; Bright Data makes you stitch together proxies; ValueSERP is SEO-first, not AI-first. Unlike all of them, DataBlue returns LLM-ready data, answers in sync, and never expires your credits. If you're weighing the whole field, the head-to-heads below break down each one.
ScraperAPI Alternative Questions.
Is DataBlue a drop-in replacement for ScraperAPI?
For Google SERPs, yes. DataBlue returns organic results, ads, shopping, People Also Ask, and the knowledge graph as named, typed JSON — so you swap the request and delete your HTML-parsing layer. The one caveat: ScraperAPI is a general-purpose scraper for any URL, while DataBlue is Google-first. If you only scrape SERPs, it's a clean swap; if you also hit non-Google sites, you'd keep ScraperAPI for those.
What is the cheapest ScraperAPI alternative?
DataBlue is one of the cheapest options for Google SERP volume. ScraperAPI charges 25 credits per Google SERP, which works out to roughly $149/month for 50,000 SERPs on its Business plan. DataBlue is a flat $29 for 50,000 credits — one credit per SERP — so the same Google results cost about 80% less.
ScraperAPI charges 25 credits per Google SERP — does DataBlue do that too?
No. DataBlue is flat: 1 SERP = 1 credit. You don't pay extra for autoparse, JavaScript rendering, premium proxies, or geotargeting. The price you see is the price you pay, on every plan.
I'm using ScraperAPI for non-Google sites too. Does DataBlue cover those?
DataBlue is a Google-first SERP API, so we don't cover arbitrary sites. If your usage is, say, Amazon product pages plus Google SERPs, keep ScraperAPI for Amazon and use DataBlue for the SERPs. Most teams who split it this way still come out ahead, because the SERPs were the expensive part.
Do I have to keep BeautifulSoup or Cheerio in my pipeline?
Not for SERPs. ScraperAPI returns raw HTML (or charges extra credits for autoparse), so you run a parser to pull results out. DataBlue returns parsed organic, ads, shopping, PAA, and knowledge graph as typed JSON — you delete the parser layer entirely.
Is there a free ScraperAPI alternative?
Yes. DataBlue's free tier gives you 1,000 credits every month — 1,000 actual Google SERPs, since each costs one credit. ScraperAPI's free 5,000 credits translate to only about 200 Google SERPs at the 25-credit rate. DataBlue's free credits also never expire.
How long does it take to migrate from ScraperAPI?
Most teams switch in well under ten minutes. You stop hand-encoding Google URLs, drop the BeautifulSoup step, and replace the proxy GET with a single client.search() call. Point a few live queries at DataBlue, diff the JSON, and flip the key once it lines up.
What about CAPTCHAs and proxy management?
All handled internally. You don't pick proxy types, tune retries, or hit a credit cliff when our system retries. If we don't return data, you don't pay credits — period.
Ready to Leave Raw HTML Behind?
Start with 1,000 free credits a month — that's 1,000 real Google SERPs, no card, no expiry. Run a few of your real queries through DataBlue and see parsed JSON come back in about a second.