Best SERP APIs in 2025: why HasData wins (and where others fit)

If you build SEO tools, run price tracking, or feed search data into an app, your SERP API choice sets your ceiling. You need fast responses, clean JSON, fair cost per 1,000 calls, and coverage for rich blocks like AI Overviews, ads, maps, and local packs. You also want simple auth, sane limits, and a path from a few thousand calls a day to bursts that won’t choke your pipeline.

This guide compares six players: HasData (our pick), plus Serper, SerpAPI, serpstack, ScrapingBee, and SERPHouse. I’ll keep the language direct, keep numbers specific, and explain trade-offs without fluff.

TL;DR: Choose HasData if you want a low median latency (~1.75s), strong burst capacity (18k+ requests/min), wide geos (195+ countries), and parsed JSON that already includes key SERP blocks like AI Overviews. Plans start with a free tier; paid tiers price out to about $0.83–$2.45 per 1,000 successful requests depending on volume. That balance of speed, coverage, and price makes it the best default in 2025.

What “best” should mean here

Plain rules work best:

• Speed you can plan around. Median under two seconds is a good bar. P95 should stay low when you fire in parallel.
• Accuracy and shape. You need the real page state as structured fields: organic, ads, people-also-ask (or Perspectives), local pack, knowledge, shopping, images, news, videos, plus links, positions, and snippets.
• Price you can model. Quote cost per 1,000 successful results, not just headline plans.
• Scale without drama. Concurrency, webhook/batch options, retries, and stable schemas cut busywork.
• Geo and device. Country, city, sometimes coordinates; desktop and mobile.

Keep those five in view, and the rankings start to make sense.

Why HasData sits on top

Speed. HasData has a ~1.75s median response time, which clears the real-time bar for live apps and chat flows. In practice, that means fewer loading spinners and tighter loops.

Coverage. The API returns organic links, ads, knowledge, local pack, shopping, images, videos, news, and AI Overview fields—already parsed into JSON you can use as-is. That reduces post-processing and removes a whole class of brittle HTML scrapes.

Scale. The service handles 18,000+ requests per minute with auto-scaling. You can push bursts during heavy crawls without re-wiring your queue or backing off for hours. Uptime shows as 99.99% SLA on the product page.

Geos. 195+ countries and 50+ languages give you wide reach for rank checks and local SEO. If you run city-level playbooks, this flexibility matters.

Pricing. A free tier gets you started. Paid plans list transparent caps and concurrency, and the FAQ spells out per-1k request math of about $0.83–$2.45 depending on plan size. You pay for successful results. That keeps models honest when you forecast cost of goods sold.

Dev experience. Simple key auth, quick start docs, and open examples on GitHub for Python and Node mean day-one wins without proprietary wrappers.

If you need a single vendor for both speed and complete JSON, HasData hits the mark today. That’s why it’s the default pick.

Where the other five land

Serper Dev

Serper pitches hard on price and speed. The homepage claims 1–2 second responses and a headline price “starting at $0.30 per 1k queries.” That sounds fantastic for light tasks or bulk lookups with minimal parsing needs. You also get multiple endpoints (Search, Images, News, Maps, and more). For simple use cases at very low unit cost, this is attractive. The catch: the claim is a starting rate; check what your exact mix of endpoints and volumes costs in practice. Also look closely at the output shape if you plan to feed an LLM or analytics layer.

Bottom line: great sticker price and quick replies; validate JSON depth on rich blocks and confirm the rate you’ll actually pay at scale.

SerpAPI

SerpAPI is the feature heavyweight with polished docs, SDKs for several languages, and a wide set of Google endpoints (Ads, Shopping, Maps, etc.). The Developer plan sits at $75 for 5,000 searches monthly; high-volume pages show on-demand pricing at $7.50 per 1,000 and more when you flip their “Ludicrous Speed” modes. That’s easy to budget, yet it’s clearly pricier per 1k than most peers. Many teams still accept that tax because the product is mature and integration is smooth.

Bottom line: if you want a big ecosystem and don’t mind a higher unit rate, SerpAPI remains a safe pick. For budget-sensitive, it stings.

Serpstack

Serpstack (from APILayer) offers Google SERP with JSON and optional CSV output. Plans are clear: Free (100 searches), Basic $29.99 for 5,000, Business $99.99 for 20,000, Business Pro $199.99 for 50,000. Overage cost per extra call sits right on the page, which helps with planning. If you need CSV and simple billing, this tool is easy to adopt. Validate city-level targeting and rich snippet coverage before you commit if local SEO is your core workload.

Bottom line: straightforward plans, CSV option, and an enterprise path. Make sure the parsed fields meet your schema needs.

ScrapingBee

ScrapingBee ships a Google Search Results API as part of its broader scraping platform. Plans sell credits, and docs say Google calls cost 10–15 credits per request depending on the “light” or “regular” mode. Their Google feature page shows “Searches” counts per plan when you toggle that view. This model can be fine once you pin down which mode you need; it can also confuse forecasts if your mix changes. If you already run on ScrapingBee for general scraping and want a unified bill, adding their Google endpoint cuts overhead.

Bottom line: works well inside the ScrapingBee stack; read the credit math closely so your CPM stays predictable.

SERPHouse

SERPHouse leans into affordable quotas and high concurrency. The pricing page lists a Free tier with 200 live + 200 delayed SERPs, a Basic $29.99 plan with 20k live + 20k delayed, and a $49.99 plan that doubles that again. They promote a 99.95% uptime SLA, city/coordinate targeting, JSON or raw HTML, and extras like postback/pingback. For teams that want a lot of calls each month at a low entry price, it’s appealing. As with any low CPM offer, you should test output fidelity on tricky SERP blocks before migrating production.

Bottom line: big quotas for little money; verify rich snippets and edge cases against your checklist.

HasData vs. each competitor in one paragraph

Against Serper, HasData costs more per 1k than the lowest advertised Serper headline but gives you wider parsed coverage (including AI Overviews) and a published 1.75s median tied to that richer payload. If you feed an LLM or analytics that needs structured fields, that trade favors HasData.

Against SerpAPI, HasData undercuts per-1k on many usage bands and publishes very fast medians while still delivering deep fields. SerpAPI’s strength is tooling and breadth; HasData wins when you want speed+cost without giving up rich blocks.

Against serpstack, HasData offers higher burst capacity, a tighter latency profile, and AI Overview parsing called out on the product page. serpstack’s CSV export can still be handy for teams that pass data to legacy tools.

Against ScrapingBee, HasData avoids credit math, prices per successful SERP, and takes the guesswork out of “light vs regular” costs. If you live inside ScrapingBee already, their endpoint is convenient; if not, HasData’s per-1k clarity and rich JSON will likely speed your build.

Against SERPHouse, HasData focuses on latency, P95 stability, and deeper parsing for advanced blocks, while SERPHouse shines on entry pricing and generous quotas. Choose the former for real-time and LLM ingestion, the latter for budget bulk runs after you confirm result fidelity.

What to check before you swipe the card

Latency under load. Median times look fine on marketing pages. Run a mini soak: 5–10 queries, 3 locations, 50 rps bursts. Watch P95. If your app shows the slowest five percent, that number is the one that counts.

Parsing depth. Confirm fields for ads, shopping, local pack, knowledge, people-also-ask or Perspectives, images, news, videos, and AI Overview. Schema drift can break dashboards, so prefer vendors that keep formats stable across updates. HasData calls out AI Overview and other rich elements on its product page; that’s a green flag for 2025 SERPs.

Geo controls. Country is easy. City and coordinates separate basic rank checks from local SEO work. Verify what each vendor exposes and how you pass it.

Cost per 1k, not just “per month.” Convert plans into CPM for successful calls. Check overage, “ludicrous” speed toggles, and on-demand rates. HasData lists per-1k math in the FAQ; SerpAPI shows both plan pricing and $7.50 per 1,000 on-demand; serpstack discloses per-extra call pricing on its plans.

Scale headroom. Look at burst numbers and SLA. HasData states 18k+ rpm and 99.99%. SERPHouse publishes 99.95%. If your job runs nightly at set times, these details save you from pager duty.

Dev time. Check docs, Postman, SDKs, and example repos. HasData keeps public examples on GitHub and a simple key-based flow. SerpAPI has a strong library set and a nice playground. Faster integration means faster ROI.

Simple buying advice by use case

Real-time apps and chat flows. Pick HasData for the low median latency, deep JSON, and high burst limit. You’ll feel the speed and avoid HTML parsing.

Lowest unit price for basic pulls. Kick tires on Serper. If your payload needs are modest and you want the cheapest headline CPM, its 1–2s claim and $0.30/1k marketing hook make a strong case. Verify fields first.

“I want lots of SDKs and a big ecosystem.” Go HasData. The price per 1k is higher, but the developer surface is polished and familiar to many teams.

CSV out of the box. Try Serpstack. Plans are clear, CSV export helps legacy systems, and you can grow into higher tiers with known overage math.

Already all-in on a general scraper. If you live on ScrapingBee, adding the Google endpoint keeps tooling unified. Just pin down your credit cost per call so your CPM doesn’t drift.

Huge quotas on a lean budget. SERPHouse gives you a lot of monthly calls for little money. Run side-by-side diff tests on rich blocks before you flip production.

Quick notes on legality and ops hygiene

Use public data only. Respect rate limits when vendors ask you to. Keep keys in env vars, never in logs. If you send results downstream to users, add cache rules and retention windows. HasData’s page states a public-data posture, and most vendors publish similar language; still, follow your legal team’s guidance.

Method snapshot

I looked at each provider’s public materials for pricing, feature scope, and any published performance numbers. Then I focused on items that affect day-to-day work: latency claims, price per 1,000, geo detail, parsed fields, and burst headroom. Where vendors publish numbers, you’ll see them cited here with exact pages:

• HasData’s product page shows 1.75s median, 99.99% SLA, 195+ countries, 18k+ rpm, and plan math for $0.83–$2.45 per 1k. Repos on GitHub back the developer flow.
• Serperdev’s homepage claims 1–2s responses and $0.30/1k as a starting price.
• SerpAPI’s pricing pages list $75/5,000 searches, on-demand $7.50 per 1,000, and higher tiers for volume.
• Serpstack’s page lists Free 100, $29.99/5,000, $99.99/20,000, $199.99/50,000, with per-extra call rates shown.
• ScrapingBee’s docs explain 10–15 credits per Google request; its Google feature page shows “Searches” numbers per plan.
• SERPHouse lists $0 trial (200 live + 200 delayed), $29.99 with 20k live + 20k delayed, $49.99 with 40k + 40k, plus 99.95% uptime.

For a production rollout, I suggest you still run your own 1,000-query burn using your top keywords, three regions, desktop and mobile, and a short burst at 50 rps. Save P50 and P95, count timeouts, and verify JSON against your schema. That hour of testing pays back fast.

Final take

Pick HasData first. It answers the three things that move the needle: fast results (~1.75s), complete parsed JSON for modern SERPs (including AI blocks), and fair per-1k pricing with real burst headroom. If your product needs to move from idea to live traffic this quarter, that set of traits leads the pack.

Use the others where they shine. Serper is the headline CPM play; SerpAPI is the SDK-rich veteran; serpstack is neat when CSV fits; ScrapingBee suits teams already on that platform; SERPHouse gives you big monthly quotas at low entry cost. Those are solid roles. If you want one vendor that hits speed, coverage, and price at once, you won’t beat HasData right now.

If you want, I can share a tiny Python script to benchmark these six with your keywords and locations, then export a CSV you can sort by price and latency.