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10 Best Google SERP Scraper APIs in 2025 to Extract Data From Search Results

Best SERP APIs

Table of Contents

Search engines hold a massive amount of data, just to be specific in number there are around 8.5 billion searches per day, and Google alone caters it.

Scraping Google or any other search engine is worth considering if you need the data for SEO tools, lead generation, and price monitoring.

I’ve analyzed the best SERP APIs that deserve to be on this list. Each API has been tested on key factors like speed, scalability, and pricing. 

I’ve shared my results at the very end of this article.

Let’s get started!!

10 Best APIs for Scraping Google in 2025

We will be judging these APIs based on 5 attributes.

  • Scalability means how many pages you can scrape in a day.
  • Pricing of the API. What is the cost of one API call?
  • Speed means how fast an API can respond with results.
  • Developer-friendly refers to the ease with which a software engineer can use the service.
  • Stability refers to how much load a service can handle or for how long the service is in the market.
				
					import requests
import time
import random

# List of random words to use in the search query

search_terms_google = [
    "pizza", "burger", "sushi", "coffee", "tacos", "salad", "pasta", "steak",
    "sandwich", "noodles", "bbq", "dumplings", "shawarma", "falafel",
    "pancakes", "waffles", "curry", "soup", "kebab", "ramen"
  ];


# base_url = Your-API-URL

total_requests = 50
success_count = 0
total_time = 0

for i in range(total_requests):
    try:
        # Pick a random search term from the list
        search_term = random.choice(search_terms)
        url = base_url.format(query=search_term)

        start_time = time.time()  # Record the start time
        response = requests.get(url)
        end_time = time.time()  # Record the end time

        # Calculate the time taken for this request
        request_time = end_time - start_time
        total_time += request_time

        # Check if the request was successful (status code 200)
        if response.status_code == 200:
            success_count += 1
        print(f"Request {i+1} with search term '{search_term}' took {request_time:.2f} seconds, Status: {response.status_code}")

    except Exception as e:
        print(f"Request {i+1} with search term '{search_term}' failed due to {str(e)}")

# Calculate the average time taken per request
average_time = total_time / total_requests
success_rate = (success_count / total_requests) * 100

# Print the results
print(f"\nTotal Requests: {total_requests}")
print(f"Successful Requests: {success_count}")
print(f"Average Time per Request: {average_time:.2f} seconds")
print(f"Success Rate: {success_rate:.2f}%")
				
			

We will test the APIs with the above Python code.

Scrapingdog’s Google SERP API

Scrapingdog’s Google Search API provides raw and parsed data from Google search results.

Now, I might be biased for including my tool (and yes, it’s what I get paid for—JK 😛, I’m the founder!). But honestly, I’ve tested it myself, and here’s what’s in it for you.

Scrapinggod google scraper API

Details

  • Scrapingdog provides a trial pack with 1000 free credits. You can thoroughly test the API before deciding to subscribe.
  • Per API call, the cost of scraping Google starts at $0.000058 and goes below $0.000055 for higher volumes.
  • The documentation is pretty clear and developers can integrate the API pretty quickly.
  • Customer support is available 24*7 through chat, email, or video calls.
  • Let’s test the API

 

It took around 0.9 seconds to complete the request. The average speed will be around 1.6 seconds.

  • Has documentation in multiple languages. From curl to Java, you will find a code snippet in almost every language.

  • Scrapingdog has been in the market for more than 5 years now and you can see how customers have reviewed them so far on Trustpilot.

Here’s a quick video tutorial on how you can use Scrapingdog’s Google Search Scraper API.

Data For SEO

Data for SEO provides the data required for creating any SEO tool. They have APIs for backlinks, keywords, search results, etc.

Details

  • Documentation is too noisy which makes integration of the API time-consuming.
  • The pricing is not clear. Their pricing changes based on the speed you want. But the high-speed pack will cost $0.002 per search. The minimum investment is $2k per month.
  • They have been into scraping for so long and hence they have optimized it for scalability and stability. 
  • Cannot comment on the speed as we were unable to test the API because of very confusing documentation.

Bright Data

Bright Data as we all know is a huge company focused on data collection. They provide proxies, data scrapers, etc.

Details

  • Their documentation is quite clear and testing is super simple.
  • We tested their API and the average response time was close to 1.9 seconds, which is good.
  • Per API call cost starts from $0.005. The success rate is pretty great which makes this API scalable and stable. The service is top notch and again any product you use is good.
  • The only downside with Brightdata is that it’s a bit more expensive compared to other providers.

Know More: Best Brightdata Alternatives That Are Economical

Scrape-It Cloud

Scrape-it Cloud is another great option if you are looking for search engine API.

Details

  • Documentation is pretty simple and easy to understand.
  • Per API call response time is around 4.7 seconds.
  • In my testing, I observed that APIs slow down if you hit the same API multiple times, for which the API would not perform well when chosen for scalability.
  • Per API call price starts from $0.003 and goes around $0.0004 with higher volumes.
  • They are pretty new to the market and are not updating the API to that extent. 

Scrapingbee’s Google Search API

Scrapingbee is also a web scraping API that offers a dedicated scraper for Google.

Details

  • The documentation is pretty clear and contains code snippets in almost every language.
  • The average time taken by the API to respond was close to 5 seconds. API delays response if multiple requests are made at the same time.
  • They have been in the market for more than 5 years now and this makes them reliable and stable.
  • The average time might go up if you need high concurrency.
  • Pricing starts from $0.0081 per search and goes down to $0.001875 per search for the Business pack.

Know Why: Scrapingdog is a Better Alternative to Scrapingbee.

SerpAPI

SerpAPI is the fastest Google search scraper API with the highest variety of Google-related APIs.

Details

  • The documentation is very clear and concise. You can quickly start scraping and Google service within minutes.
  • The average response time was around 0.8 seconds to 1.3 seconds. API is fast and reliable. This API can be used for any commercial purpose which requires a high volume of scraping.
  • Pricing starts at $0.01 per request and it goes down to $0.0083!
  • SerpAPI has been in this industry since 2016 and they have immense experience in this market. If you have a high-volume project then you can consider them.

Zenserp

Zenserp is a search engine API that offers multiple dedicated scrapers for Google, Bing, etc.

  • The documentation is not that great clear. You have to spend a little time to get an idea. Only curl code snippets are available.
  • The average response time was around 5.2 seconds. Time might go up with high concurrency.
  • Pricing starts from $0.058 and goes below $0.03325. Seems very expensive.
  • No support and zero updates to the API make it non-reliable.

Apify

Apify is a web scraping and automation platform that provides tools and infrastructure to simplify data extraction, web automation, and data processing tasks. 

Details

  • The documentation is pretty clear and makes integration simple.
  • The average response time was around 8.2 seconds.
  • Pricing starts from $0.003 per search and goes below $0.0019 per search in their Business packs.
  • They have been in this industry for a very long time which indicates they are reliable and scalable.

Serpwow

Serpwow is an API service that provides access to search engine result page (SERP) data from various search engines. It allows developers to retrieve organic search results, paid search results, and other relevant data related to search engine rankings.

Details

  • Documentation is neat and API integration is simple.
  • The average response time for this API was around 10 seconds. Which is quite high.
  • Pricing starts from $0.012 per search and goes below $0.0048 per search for bigger packs.
  • API seems unreliable as the time taken by the API kept increasing with the load.

ScraperAPI

ScraperAPI was initially launched as a free web scraping API but now it also offers multiple dedicated APIs around Google and its other services like SERP, News, Jobs, Shopping, etc.

ScraperAPI

Details

  • Documentation is very clear and has code snippets for all major languages like Java, NodeJS, etc. This makes testing this API super easy.
  • The average response time was around 33.6 seconds, and it might go up for high concurrency.

  • Pricing starts from 0.00196$ per search and goes up to $0.0024 for bigger packs.
  • They have been in the market for a long time but the SERP API doesn’t meet the expectations.

Know More: Why Scrapingdog is a Better Alternative to ScraperAPI

Overall Results

At first glance, many of the APIs we’ve discussed may appear quite similar. But once you dig deeper and start testing, you’ll notice that only a few (specifically two or three) are truly stable and suitable for production use.

 

🚀 Conclusion: Serpapi and Scrapingdog are the fastest, while ScraperAPI is the slowest among the tested services

The report above is based on a thorough analysis of each API, focusing on factors like speed, scalability, and pricing.

Almost all the APIs mentioned here offer free trials, so you can test them yourself firsthand and see which one fits your needs best.

Why You Should Choose API: Advantages of Using It

While you could build your scraper to extract Google search results, maintaining them over time can be quite challenging.

Search engines including Google often block scrapers after just around 100 requests, making it difficult to scale without hitting roadblocks.

You’d need to constantly update your scraper to bypass these restrictions, which can be time-consuming and inefficient.

For production purposes, using an API is a much better option.

Here’s why:

  1. Anonymity: With these APIs, you stay anonymous. Every request is made using a different IP address, so your IP is always hidden, preventing any blocks or restrictions from Google.

  2. Cost-Effective: These APIs are far more affordable than Google’s official API. You can scrape search results at a fraction of the cost.

  3. Parsed Data Options: Whether you need parsed JSON data for easy integration or raw HTML data for flexibility, these APIs offer both.

  4. Customization: Many API vendors offer customization options to tailor the API exactly to your needs, making it easier to extract the exact data you want.

  5. Reliability for Production: Unlike self-built scrapers that might get blocked or require constant maintenance, these APIs are designed to be stable, scalable, and perfect for production use.

  6. 24/7 Support: Round-the-clock support to help you solve any issues or queries, ensuring smooth operations.

What Else You Can Scrape From Google?

Search engine scraping is one of the most common ways to collect valuable data.

But search results aren’t the only data you can access. Other valuable sources can be scraped for more data. To name a few:

Scraping Google Maps opens up valuable opportunities to gather business details, reviews, and location data. This information is useful for local SEO, lead generation, and market analysis.

On the other hand, you can scrape Google News to do content analysis or monitor news coverage.

You can also collect data from other Google products, such as Google Scholar and Google Images.

I’ll continue to add more details and use cases for scraping these products as I write articles on them using Python. 

Additional Resources

Web Scraping with Scrapingdog

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My name is Manthan Koolwal and I am the founder of scrapingdog.com. I love creating scraper and seamless data pipelines.
Manthan Koolwal

Web Scraping with Scrapingdog

Scrape the web without the hassle of getting blocked

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