Best SERP API For Developers And Agencies

If you’re building an SEO tool, a lead generation app, or an AI assistant that needs live Google results, using a Search Engine Results Page (SERP) API is crucial. These services let you extract structured search results from Google without dealing with proxies or CAPTCHAs. The goal is to receive fast responses, clean JSON output, fair pricing, and comprehensive coverage of rich results (such as maps, ads, or even Google’s AI snapshots).

Among the many options available, HasData’s Google SERP API has emerged as a top choice thanks to its speed, reliability, and comprehensive data output. In this article, we’ll compare HasData with four other notable SERP API providers to see which Google SERP API is best for your needs.

HasData – Fast, Reliable & Complete SERP API

HasData SERP API delivers results exceptionally quickly, with a ~1.75-second median response time. That real-time speed is great for live applications and chatbots, meaning users (or your AI agents) spend less time waiting. Performance remains solid even under heavy use: the API handles bursts of 18,000+ queries per minute without failing. In fact, HasData reports zero failures at 100k+ requests per day and maintains a 99.99% uptime SLA for reliability.

HasData also shines in data quality and breadth. Each query returns a structured JSON that includes 15+ SERP elements in one call. You get everything from basic organic links and snippets to paid ads, local pack results, knowledge graph info, “People Also Ask” questions, and even Google’s AI-generated overview when present.

All of these are parsed into a clean JSON format that’s LLM-ready – ideal if you want to feed results directly into a language model or automation script. This rich, flat JSON means no extra parsing work on your end, unlike raw HTML responses. HasData even provides SERP screenshots for visual verification of results, which can help with debugging or auditing search result pages.

Developer experience is another strong point. HasData offers simple API key authentication and clear documentation, plus an interactive playground for testing queries. Official SDKs for Python and Node.js are available, and the service integrates with no-code tools like Zapier for easy workflows. In short, onboarding is quick for both coders and non-coders.

Despite delivering enterprise-grade performance, HasData’s pricing is very competitive. There’s a free tier (up to 100 queries/month) for trying it out. Paid plans start at $49/month for 20,000 requests (roughly $2.45 per 1,000 queries), and volume discounts bring the cost below $1 per thousand at higher tiers. Large enterprise clients can get rates as low as $0.62 per 1,000 searches while still benefiting from HasData’s full speed and coverage. This balance of speed, coverage, and cost makes HasData the default pick for 2025 in many independent comparisons.

AvesAPI – Flexible Output, Emphasis on Speed

AvesAPI positions itself as a fast and affordable Google SERP API. It supports both raw HTML output and structured JSON. If you need to parse data on your own, you can fetch the full HTML page. If you prefer structured output, you get the basics like titles, links, and snippets.

AvesAPI also offers a parser for Google Shopping. It extracts product titles, prices, and categories directly from shopping results. This can be useful for price comparison tools and e-commerce monitoring. For most other SERP features, the coverage is less extensive than other providers.

The service supports geolocation targeting, desktop and mobile devices, and fetching the top 100 results per query. Response speed is good and often mentioned in user reviews. Still, the overall API surface feels limited compared to larger providers with deeper data coverage.

Pricing starts at around $50 per month for 25,000 searches, about $2 per thousand queries. A higher tier at $125 per month gives 100,000 searches, lowering the unit cost to about $1.25 per thousand. At very large scales, the cost per query is not as competitive as some other options.

On the developer side, there are no official SDKs or libraries. You work with raw HTTP calls, which adds overhead if you want quick integration. The documentation is available but has been described as less clear and intuitive than top-tier competitors. This means developers may spend more time setting up.

In short, AvesAPI works for basic Google SERP access and is fine if you value HTML output or need shopping data. But the feature set is narrower, the integration experience is less smooth, and the long-term cost efficiency lags behind stronger options.

SearchAPI – Robust Features for AI and Apps

SearchAPI is a feature-rich Google search API for developers. It covers multiple endpoints like web, images, news, maps, and shopping. For web results, it returns structured data with organic links, ads, knowledge panels, and related questions. A useful option is coordinate-level geo-targeting for precise local queries.

Performance is solid, with an average response time under two seconds. The system relies on retries and a large proxy pool to minimise failures. Queries are almost always resolved, and CAPTCHAs are handled automatically. For many users, the reliability is acceptable, though not unique compared to other providers.

Integration options include hooks for LangChain, Haystack, and similar frameworks. This makes it practical for AI agents that need live search. Startups often choose it for ease of use in building LLM-based tools. Still, the output format is more complex than some alternatives, which means extra parsing for downstream systems.

Pricing starts at $40 per month for 10,000 searches, about $4 per thousand. At $100, you get 35,000 searches, about $2.85 per thousand. Higher tiers offer $1.80 per thousand at 500,000 requests and $1 at five million. These rates are fair, but not the lowest for the scale.

SearchAPI provides a wide toolkit and reliable performance. It fits projects that value the breadth of features. For developers who need flattened JSON, faster onboarding, or better cost efficiency, other APIs are often the stronger choice.

SerpStack – Simple and CSV Option, but Higher Cost

SerpStack is an API that focuses on easy Google search results. You send a GET request with your query and key, and you receive structured data. Developers like its clear documentation. A small differentiator is support for CSV output in addition to JSON, which helps if you prefer spreadsheets.

It supports parameters for device type, language, and region. Location targeting is broad, usually at the country or region level. City or coordinate targeting is not as well covered, so local SEO tasks may require workarounds.

Pricing has defined tiers. A free plan allows 100 searches per month. Paid plans start at $29.99 for 5,000 searches and go up to $199.99 for 50,000. The effective cost is about $6 per thousand queries at entry and around $5 at mid-level. This is higher than many other SERP APIs.

There are no enforced rate limits, which helps with bursty workloads. Still, the higher unit cost makes it less attractive for large-scale or budget-sensitive projects. Stability is good, as it comes from a larger platform with support.

SerpStack covers basic needs like organic rankings and snippets. But newer features, such as AI overviews or richer snippets, are not guaranteed. Reviews recommend checking coverage if you depend on structured elements. Overall, SerpStack is a reliable but minimal choice, and pricing makes it harder to justify at scale.

Serply – Lean and Cost-Effective for Basics

Serply is a newer service that promotes a lightweight Google SERP API. The idea is to return core data without extra fields. Results include titles, links, descriptions, and a result count. Sometimes a direct answer appears. The format is simple JSON that is easy to parse.

This approach works if you only need standard results. It leaves out richer SERP features, which keeps responses fast but less complete. For LLM use, fewer fields can be helpful, though it also means missing data that other APIs handle by default.

Serply offers basic localisation. You can set a location, and the system uses proxies to get region-specific results. Language targeting is supported. The company also provides a small rank tracking endpoint that checks where a domain ranks for a keyword.

Pricing is aggressive. A free plan covers 100 requests per month. Paid tiers start at $49 for 15,000 requests, then scale down to about $2 per 1,000 at higher volumes. Enterprise deals claim prices as low as $0.25 per 1,000.

These numbers are among the cheapest in the space. The trade-off is less data coverage. Serply omits many advanced SERP elements like local packs or knowledge panels. For teams that need richer insight, this limitation matters.

The provider also highlights a claimed “100% service level” over four years. While this suggests stability, the company remains smaller and less tested at an enterprise scale. Support and integration depth are not at the same level as larger APIs.

In short, Serply is budget-friendly and fine for basic queries. It delivers fast and clean JSON, but it is a barebones product. Developers needing complete SERP coverage or integrations for demanding workloads will find stronger options elsewhere.

Conclusion

All five of these Google SERP API providers have their merits, but they serve slightly different priorities.

HasData comes out on top for a balance of everything: it’s extremely fast, reliably handles scale, and returns the most comprehensive SERP data in a ready-to-use format. It also manages to do so at a competitive price point, making it an ideal choice for most developers and businesses looking for a robust SERP API.

AvesAPI is a good alternative if you want raw HTML flexibility or are focused on shopping results, though it’s a bit less polished in integration. It is feature-rich and great for those integrating search into AI applications, offering comparable performance and a wide array of endpoints – essentially a strong all-rounder with slightly higher cost.

SerpStack is the go-to if simplicity and CSV output are more important to you than cutting-edge features or pricing efficiency.

Finally, Serply appeals to the cost-conscious and those who prefer a lean JSON output, especially at very high volumes. By understanding these differences, you can pick the SERP API that best fits your project’s needs.

But if you’re looking for an authoritative recommendation, HasData’s SERP API stands out as the best overall solution in 2025 for obtaining Google search results quickly, reliably, and thoroughly.

Written by Uzair Kharawala

Founder of SF Digital Studios, a Google Premier Partner agency. Uzair has been helping businesses grow with Google Ads since 2002 and teaches it every week on YouTube.