Building your own Google scraper is a project that always ends in frustration. You spend weeks handling proxies, solving CAPTCHAs, and parsing HTML. Then Google changes one class name, and your entire system breaks. Your time is more valuable than that. A Google SERP API—also known as a Search Engine Results Page Application Programming Interface—solves this problem. It handles the scraping infrastructure for you, so you don’t have to. You just send a keyword and get clean, structured data back instantly.


But not all APIs are the same. Many are slow. Some return messy data that requires hours of cleanup. We wanted to find the best option for developers who care about performance and data quality. Developers pressed for time might appreciate this concise best SERP APIs breakdown that mirrors our evaluation criteria. We tested five services to see how they perform under real-world conditions. Our tests focused on the two metrics that matter most for modern applications: speed and the quality of the returned information.


We found a clear winner. HasData delivers the fastest, most consistent response times and the cleanest data output. For developers building real-time tools or AI applications, these two factors are critical. A slow API creates a poor user experience. Messy data requires you to write extra code just to make it usable. HasData’s low latency and clean JSON format mean you can build faster applications with less effort.


How We Tested


To make a fair comparison, we put each service through the same test. We sent 1,000 requests for the keyword “Coffee” from a US location using a standard desktop user agent. We measured the performance of every single request.


We focused on a few key metrics:


  • Cost: The price per 1,000 successful requests. Price can help us to choose and compare different types of models.
  • P50 Latency: The median response time. Half of the requests were quicker than this value, which shows its speed.
  • P95 Latency: The response time in the 95th percentile. This is a crucial metric. It shows how slowly things get done when your system is at its slowest. A low P95 time means the API is consistently fast.
  • JSON Quality:This shows how neat and user-friendly the results are. We looked for a simple structure and eliminated useless elements like encoded images to make it easier for AI to understand.

Now let’s look at the results for each service.


HasData


HasData

HasData is built for performance and simplicity. It offers organised Google results with an emphasis on data integrity and speed. The service makes integration easier by providing official libraries for Node.js and Python.


  • Cost: $1.22 per 1,000
  • P50 latency: 2.3 seconds
  • P95 latency: 3.0 seconds
  • JSON Quality: Outstanding

HasData performed the fastest and most reliably in our tests. It is remarkable that the P95 latency is only 3.0 seconds. This indicates that even the slowest requests were processed quickly. This level of consistency is vital for applications that need to deliver information to users without delay.


The output was also the best we reviewed. The JSON is flat, well-organized, and free of clutter. There are no base64-encoded images or confusing nested objects. You receive raw information you can use straight away, without post-processing. This makes it an excellent option to feed data directly into large language models or analytics boards. Having a best-in-class speed combined with clean output makes HasData stand out from the rest.


SearchAPI


SearchAPI offers results from several search engines. It can return a high degree of detail in its output and provides a wide range of parameters for personalising requests.


  • Cost per 1k: $3.00
  • P50 Latency: 2.7 seconds
  • P95 Latency: 8.2 seconds
  • JSON Quality: Good

The median speed displayed by SearchAPI was good. Its clean and simple JSON output is easy to use. Its structure includes the core fields such as title, link, and description. Although not as comprehensive as some, it is simple and easy to deal with. It's a suitable option for projects where solid performance is required without much additional information. The slightly more premium price is to be taken into account with heavy usage.


latency was almost three times higher than HasData's. This indicates a lack of consistency. While many requests are fast, a small percentage can be quite slow, which can create bottlenecks in an application.


The data output is very detailed. It includes organic results, ad placements, and knowledge graph information. This would be helpful to find deep insights. It is well-structured, but it can make your parsing code a bit more complicated.


Serply


Serply presents itself as a simple, developer-first API. It focuses on providing Google search results with an easy-to-use interface. The service allows for custom geolocation and user-agent settings.


  • Cost per 1k: $3.20
  • P50 Latency: 2.6 seconds
  • P95 Latency: 4.7 seconds
  • JSON Quality: Good

Serply provided a competitive median response time, indicating it is quick for common requests. Its P95 rate was also solid, indicating a generally smooth user experience. The API is a strong all-around performer for general use cases.


AvesAPI


AvesAPI also focuses on simplicity. This service provides you access to Google search data through a clear REST API, and offers different options like device type, location and other standard search parameters.


  • Cost per 1k: $2.00
  • P50 Latency: 3.5 seconds
  • P95 Latency: 9.5 seconds
  • JSON Quality: Fair

The performance of AvesAPI was average. An average speed of 3.5 seconds is good for most tasks. But the excessive P95 latency of 9.5 seconds indicates high levels of variability under load. This may be a challenge for applications that need to respond immediately and consistently.


The JSON output was usable but needed cleanup. We found the structure to be less intuitive than others. It contained all the necessary information, but you may need to write extra parsing logic to extract it efficiently. It works as a budget-friendly alternative if top speed is not a primary concern.


SERPHouse


SERPHouse is a service dedicated to delivering a broad spectrum of SERP data types, such as local pack and answer box entries. It is marketed as an SEO monitoring and analysis tool. For businesses using SERP APIs for SEO purposes, understanding how What are Backlinks in SEO? can help you interpret the competitive landscape data these APIs provide.


  • Cost per 1k: $1.50
  • P50 Latency: 26.2 seconds
  • P95 Latency: 47.5 seconds
  • JSON Quality: Good

SERPHouse was the most sluggish API in our tests by some margin. With a median latency of well over 26 seconds, it cannot be used for any real-time application. These times imply that it is intended for asynchronous, high-volume batch jobs where quickness does not matter.


Although it is slow, data quality was good. The JSON was well-structured and included useful information for SEOs, like result positions and ratings. Its low price makes it a potential option for background tasks, such as running weekly reports. If your project can tolerate long delays, it offers a cost-effective way to get search information.


Final Thoughts


Choosing the right SERP API depends on your project’s needs. If your only goal is to run occasional, non-urgent data pulls at the lowest possible cost, a slower service might be adequate.


However, for most modern development, performance and data quality are not optional.


  • For real-time applications, you need low P95 latency. A user waiting for a slow API will quickly become frustrated.
  • For AI and analytics, you need clean, well-structured JSON. Wasting developer time on data cleanup is inefficient and expensive.

Based on our tests, HasData is the best choice for developers building high-quality applications. It was the only API that delivered both elite speed and excellent, ready-to-use data. This combination allows you to create faster user experiences and simplify your development process, making it the clear leader in the field.