Grover AliceYour agent asks Google a question and gets back a wall of HTML. Or a CAPTCHA. Or last week’s ranking. Search data looks like a solved problem until you wire it into an SEO API for AI agents, a rank tracker for forty client sites, or a grounding step in an LLM app. Then the gaps show: a missing Maps pack, no AI Mode answer, a location that will not resolve, a proxy pool someone on your team now babysits.
This list sorts seven providers by what they return, how fast, how they bill and who keeps the scraping alive. The criteria: surface coverage, latency, structured output, integrations and billing model.
What Actually Separates SERP APIs
Live calls versus queued jobs
An agent mid-conversation needs an answer in seconds. A nightly rank-tracking run does not. Providers with both a live path and a queued path spare you from running two vendors.
Surfaces beyond the ten blue links
Maps packs, News, Images and AI Mode answers each carry their own markup. Teams that need Bing results should confirm that Bing is parsed, not just Google.
Agent connectors
An SEO MCP server for Claude or Cursor removes glue code, and n8n or Make nodes do the same for no-code flows. Without either, you write the tool wrapper yourself.
Billing model
A search API pricing comparison starts with the model, not the rate card: subscription, prepaid credits or pay per request. Match it to how bursty your traffic is.
Who maintains the scraping
Proxies, CAPTCHAs and layout changes are somebody’s job. The question is whether it is yours.
How We Cut the Shortlist
We started from a longer pool of search and scraping APIs and trimmed it on documentation. A provider stayed only if its docs showed which search engines it parses, whether Maps, News, Images or AI Mode were named surfaces, and what the output looks like: parsed JSON, raw HTML or both. Public product pages and changelogs did the rest.
Delivery and billing came next. We checked whether an agent could call a provider live, whether bulk work had a separate path, and how charges accrue: subscription, prepaid credits or per request. Where a free tier existed, we tried a few sample requests to see the response shape. No prices appear here, because plans change too often to print.
User reviews on Trustpilot and G2 shaped the final cut. We read them for recurring complaints about support, onboarding friction and reliability, and gave recent threads more weight than old ones.
Review Scores at a Glance
Scores come from public Trustpilot and G2 profiles. A dash means no rating was found on that platform.
| Company | Trustpilot | G2 |
| Oxylabs | 3.9/5 (744) | 4.5/5 (379) |
| DataForSEO | 4.5/5 (62) | 4.4/5 (16) |
| HasData | 4.5/5 (44) | 4.8/5 (5) |
| Serper | 2.9/5 (5) | – |
| Scrapingdog | 4.6/5 (564) | 3/5 (4) |
| SE Ranking | 4.1/5 (698) | 4.7/5 (1514) |
A Trustpilot or G2 rating could not be verified for Tavily.
1. Tavily
One account covers search, page extraction, research, crawling and site mapping. That is the Tavily pitch: a web access API for AI agents with Search, Extract, Research, Crawl and Map endpoints. Tavily says 3M+ developers trust it. It raised a $25M Series A and now operates as Tavily by Nebius.
The design centres on agent workflows: grounding an answer, pulling a page, running a research pass. Rank tracking and Maps-pack monitoring are not what the endpoint names point to. Its mid-range tier mixes subscription and pay-as-you-go billing, so a prototype and a steady production load can sit on different terms.
Best suited for: developers building LLM apps who want search, extraction and crawling behind one agent-oriented API.
2. Oxylabs
Oxylabs, founded in 2015 and based in Vilnius, Lithuania, reports 15,000+ clients and 500+ employees. Its pool counts 177M+ proxies. In 2022 it acquired Webshare, a self-service proxy platform.
That proxy depth is the draw for SERP collection at enterprise volume, where blocks and geography decide whether a run finishes. Teams scraping search results next to other targets get one vendor for both. The trade is a premium, subscription-based tier, which buys scale and network reach.
Best suited for: enterprise data teams collecting search results and other web targets at high volume through a large proxy network.
3. DataForSEO
Seven engines answer through one endpoint: Google, Bing, YouTube, Yahoo, Baidu, Naver and Seznam. On Google, that reaches Maps, News, Images and AI Mode, returned as parsed JSON or raw HTML for any Google location.
DataForSEO gives agent builders, rank-tracking agencies and SEO software vendors a single SERP API, with Live mode answering one request in seconds and Standard and Priority queues absorbing bulk tracking jobs. An official MCP server plugs Claude, Claude Code, Cursor, ChatGPT and Gemini CLI into that data, hosted remotely or run locally through npx or Docker, and n8n, Make, Zapier and Google Sheets read it too.
Billing is mid-range and pay-as-you-go, with no subscription and no seats, and the same account also opens the On-Page API; Trustpilot shows 4.5/5 from 62 reviews. DataForSEO runs the collection itself, so no scrapers or proxies land on your team.
Best suited for: growth marketers, agent builders, SEO agencies and SEO software teams that need Maps, News and Images results, live or in bulk, on one pay-per-request account.
4. HasData
Catalogue breadth defines HasData: 63 API endpoints and 21 no-code scrapers, pitched at data pipelines and AI workloads. It says 1.3k+ customers trust it.
It charges only for successful requests, which keeps failed calls off the invoice. Search is one target among many here. The accessible tier runs on subscriptions.
Best suited for: data engineers who need search results next to many other scraping targets and want to pay only for successful requests.
5. Serper
Speed is the headline: Serper says results return in 1-2 seconds. It is a Google Search API, and it gives 2,500 free queries to start. For a prototype, that allotment is enough to test a full agent loop.
Credits are prepaid with no monthly subscription, and they stay valid for six months. That accessible, pay-as-you-go setup suits uneven usage. Trustpilot shows 2.9/5 from 5 reviews, a small sample.
Best suited for: solo developers and early prototypes that need quick Google lookups without a subscription.
6. Scrapingdog
Manthan Koolwal founded Scrapingdog, with Darshan Khandelwal as co-founder and CTO. The website launched in April 2020, and the company started in 2021.
Its story runs from a 2020 website to a 2021 company start, and it sits in the accessible tier with subscription billing. On Trustpilot it shows 4.6/5 from 564 reviews, the deepest review base among the accessible providers here.
Best suited for: small teams that want an affordable scraping API with search endpoints on a subscription plan.
7. SE Ranking
Launched its first SEO tool in 2013, SE Ranking now has team hubs in Kyiv, Wroclaw and Warsaw, 150+ people, and legal addresses in London and Wilmington, Delaware. It says more than a million businesses, agencies and SEO experts have relied on it.
Rank Tracker and Website Audit are the core products, with an API for integrating its data. That makes it a finished SEO platform with an API attached, not an API-first search provider. Agencies that want dashboards first will feel the fit, while engineering-led teams that want raw SERP layouts may lean another way.
The mid-range tier is subscription-based. On G2 it scores 4.7/5 from 1514 reviews.
Best suited for: SEO agencies and in-house teams that want a ready rank tracker and audit tool with API access to the same data.
Matching a Provider to Your Workload
Start with the job, then the vendor.
If your agent needs to ground answers or research a topic with page content, weigh Tavily for its Search, Extract, Research, Crawl and Map set. Weigh Serper when quick Google-only lookups on prepaid credits are enough.
If you track rankings for many clients, weigh DataForSEO. If the team wants a finished dashboard instead, SE Ranking fits.
If volume is enterprise-scale or search is one target among many, weigh Oxylabs for proxy depth, HasData for a wide endpoint catalogue with success-only billing, or Scrapingdog for an accessible subscription.
Check the billing model against your traffic shape, too. Steady load and bursty load reward different plans.
Run your ugliest query before committing: a local pack in a second language, an AI Mode answer that shifts by the hour. Whatever breaks there will break in production.
Frequently Asked Questions
How does SERP API pricing usually work?
Providers bill by subscription tier, prepaid credits or pay per request. The bill is driven by request volume, whether you need live or queued delivery, the search engine and result depth, and extras such as rendering. Some vendors charge only for successful requests. Compare models before rate cards.
What should a SERP API return for AI agents?
Parsed JSON is the baseline, so an agent does not read raw HTML. Look for named SERP features such as Maps, News, Images and AI Mode, accurate location targeting, live responses in seconds, and a connector such as an MCP server or an n8n or Make node.
Is a SERP API better than running my own scraper?
For most teams, yes. A homemade scraper needs proxies, CAPTCHA handling and constant parser fixes whenever a results page changes. A SERP API moves that upkeep to the vendor. Building in-house only pays off when you need highly custom collection at a scale that justifies a dedicated engineer.