Best SERP APIs in 2025

If you’re looking to gather data from search engine results, using a SERP API is the best way to go. SERP APIs are essential for anyone looking to gather and analyze search engine data. They help businesses track rankings, monitor competition, and improve SEO strategies. Whether you’re a developer, marketer, or SEO professional, having the right SERP API can save you time and give you access to real-time search data. The market has a variety of options, each offering different features and integrations. Some focus on specific search engines, while others provide broader capabilities that integrate with AI and machine learning tools.

Choosing the best SERP API depends on your needs, whether it’s large-scale data collection, advanced search filtering, or integration with AI workflows. In this article, we’ll break down the top 10 SERP APIs of 2025 to help you find the perfect solution for your project.

Top 10 Best SERP APIs in 2025

Finding the right SERP API is crucial for extracting accurate search engine data. Here are the top 10 SERP APIs to help you make the best choice for your needs:

1. Bright Data

Bright Data is a top player in the web scraping industry, offering powerful tools to access search engine results. It provides an advanced SERP API that allows users to retrieve real-time search data from major search engines. The service supports a variety of search types, including news, shopping, and maps. Bright Data ensures fast response times and high scalability, making it suitable for both small and large projects. Users can integrate its SERP API into their AI-driven workflows or web applications. The API delivers data in structured formats like JSON, HTML, and Markdown. Bright Data is a go-to choice for businesses seeking reliable, scalable, and customizable search data solutions.

Key Features:

• Extensive Search Engine Coverage: Supports Google, Bing, Yahoo, DuckDuckGo, Yandex, Baidu, and more.
  
• Data Formats: Returns results in JSON, HTML, or AI-ready Markdown formats.
  
• Geo-Targeting: Supports precise geo-targeting for regional search results.
  
• Scalability: Handles large-scale data collection with average response times under one second.

Pros:

• Highly scalable with unlimited request capabilities.
  
• Excellent search engine coverage, ideal for global research.
  
• Supports both SERP and web search functionalities.
  
• Free trial available for testing the service.

Cons:

• Pricing may be steep for high-volume usage.
  
• Requires technical knowledge to integrate into workflows fully.

Pricing:

Pay-as-you-go available at $0.0015 per result, $ 1.50/1 K Results. Monthly plans start at $ 1.3/1 K Results and $499 for 380K Results.

2. SerpApi

SerpApi is a leading provider of real-time search engine data. It offers a range of SERP APIs, allowing users to retrieve results from major search engines like Google, Yahoo, and Bing. The service provides structured data in formats like JSON, making it easy to integrate into applications. SerpApi supports geo-targeting, enabling users to access localized search results. It is ideal for SEO professionals, marketers, and developers who need accurate and up-to-date search data. The platform offers flexible pricing with a free tier for small-scale users. SerpApi also supports integration with AI models, making it a versatile choice for various data retrieval needs.

Key Features:

• Multi-Search Engine Support: Includes Google, Yahoo, Yandex, Bing, DuckDuckGo, and more.
  
• Custom Search Filters: Allows filtering by country, language, and search type (images, news, etc.).
  
• Structured Data: Delivers clean, structured JSON output.
  
• Free Tier: Offers 100 free searches per month.

Pros:

• Easy-to-use API with clear documentation.
  
• Reliable data retrieval, suitable for SEO analysis.
  
• High-speed response and scalability.
  
• Free tier available for small-scale use.

Cons:

• Limited free searches may not suffice for larger businesses.
  
• Price increases quickly with higher usage.

Pricing:

• Developer Plan: $75/mo for 5,000 searches.
  
• Production Plan: $150/mo for 15,000 searches.
  
• Big Data Plan: $275/mo for 30,000 searches.

3. Tavily

Tavily specializes in connecting large language models (LLMs) with real-time web search capabilities. It allows users to integrate live search results directly into AI applications, enabling dynamic and relevant responses. Tavily uses a proprietary search algorithm to aggregate results, offering flexible integration with LLMs. The service supports scalable usage, providing up to 1,000 requests per minute in production. Tavily is ideal for those looking to enhance their AI-powered systems with real-time search data. It provides a free plan with 1,000 API credits per month, making it accessible for smaller users or developers experimenting with AI. Tavily’s custom search algorithm ensures accurate and timely data retrieval.

Key Features:

• Custom Search Algorithm: Uses a proprietary search algorithm, although the search engines used are undisclosed.
  
• LLM Integration: Integrates easily with large language models and other AI applications.
  
• High Scalability: Supports up to 1,000 requests per minute in production.
  
• Free Plan: Provides 1,000 free API credits per month.

Pros:

• Ideal for integrating live search data into AI and RAG (retrieval-augmented generation) workflows.
  
• Flexible pricing and free credits for development.
  
• Reliable scalability.

Cons:

• Lack of transparency about the search engines used.
  
• May be difficult for developers unfamiliar with LLMs to use effectively.

Pricing:

• Pay-As-You-Go: $0.008 per credit.
  
• Project Plan: $30/month.
  
• Enterprise Plan: Custom pricing.

4. Exa

Exa is a search engine API provider that leverages AI to offer semantic-based search results. Unlike traditional SERP APIs, Exa aggregates search data using custom AI models designed to understand the meaning behind queries. This approach allows Exa to deliver more relevant and nuanced results. The platform is well-suited for AI-driven workflows, such as RAG (retrieval-augmented generation) applications. Exa integrates seamlessly with LLMs, making it ideal for research and advanced AI projects. It offers a pay-as-you-go pricing model and provides $10 in free credits for new users to test its services. Exa’s AI-powered solution makes it a unique offering in the SERP API space.

Key Features:

• AI-Based Search: Uses custom AI models to understand semantic meaning and aggregate search results.
  
• LLM Integration: Seamless integration with AI and RAG workflows.
  
• Customizable: Allows for highly customizable searches, ideal for advanced users.
  
• Free Credits: Offers $10 worth of free credits for new users.

Pros:

• Ideal for AI-driven search workflows and research.
  
• Not reliant on traditional search engine scraping.
  
• Provides highly relevant and aggregated search data.

Cons:

• Less straightforward than typical SERP APIs.
  
• Limited scalability with 5 requests per second.

Pricing:

• Pay-as-you-go plan based on the number of results retrieved.

5. Serper

Serper focuses on providing fast and structured access to Google Search results. It is ideal for developers and businesses that need to track keyword rankings, perform SEO analysis, or monitor search engine visibility. Serper’s SERP API offers high-speed scraping, capable of processing up to 300 queries per second. The platform also supports integration with LangChain, enabling its use within AI applications. Serper is straightforward to use, with a simple API and clear documentation. While it focuses primarily on Google Search, its high-speed data retrieval and reliable performance make it a solid choice for Google-centric workflows. Serper offers competitive pricing, making it accessible to users at different levels.

Key Features:

• Google-Focused: Specializes in Google Search results, making it perfect for SEO and rank tracking.
  
• High-Speed Scraping: Can handle up to 300 queries per second.
  
• Integration with LangChain: Supports unofficial integrations with LangChain for LLMs.

Pros:

• Fast response times with a high query rate.
  
• Simple and effective for Google-centric search needs.
  
• Affordable pricing options.

Cons:

• Limited to Google Search, which restricts its use for broader search engine data.
  
• Lacks official LLM integration for some workflows.

Pricing:

• Starter: $50 for 50k credits.
  
• Standard: $375 for 500k credits.
  
• Scale: $1,250 for 2.5M credits.

6. Apify

Apify is a full-stack web scraping and automation platform that provides a wide range of prebuilt tools, known as “Actors,” for data collection. These Actors allow users to scrape search engine results and access a variety of other data sources. Apify offers a powerful and flexible API that can be integrated into both SERP and web search applications. The platform supports scalability, handling high volumes of requests efficiently. Apify is designed for developers who need both out-of-the-box solutions and the flexibility to create custom scraping tools. It also integrates with popular AI platforms, making it a great choice for AI-driven workflows and automation tasks.

Key Features:

• Prebuilt Scraping Actors: Offers “Actors” (prebuilt scraping tools) for easy integration.
  
• Versatile API: Capable of scraping multiple search engines.
  
• Automation-Friendly: Perfect for automation workflows and AI integrations.
  
• MCP Integration: Supports integration with platforms like CrewAI and Agno.

Pros:

• Easy-to-use with prebuilt scraping solutions.
  
• Can handle high volumes of data collection.
  
• Flexible pricing and scalability.

Cons:

• Limited support for search engines compared to some competitors.
  
• Free plan is basic with limited usage.

Pricing:

• Pricing varies by selected Actor and usage.

7. Firecrawl

Firecrawl is a flexible web crawling and scraping API provider that supports real-time web search capabilities. The platform leverages Serper for search data scraping, offering users a powerful, AI-integrated search solution. Firecrawl allows seamless integration with AI agents and automation tools via its MCP server. The service is designed to scale, offering users up to 2,500 API calls per minute depending on the plan. Firecrawl’s API is ideal for businesses or developers who require efficient data collection, especially for AI and machine learning applications. It offers a free-forever plan with up to 500 credits, making it an accessible option for small-scale users.

Key Features:

• AI-Powered Scraping: Leverages Serper for backend scraping, offering simplified LLM integration.
  
• Search API: Supports web search functionality alongside traditional SERP features.
  
• Flexible Scaling: Supports a wide range of use cases, from low to high-volume requests.
  
• Free Plan: Available with up to 500 credits.

Pros:

• Integrates well with AI agents and automation tools.
  
• Simple setup and integration with MCP server.
  
• Flexible scalability.

Cons:

• Relies on Serper, limiting search engine options.
  
• Pricing can increase significantly for higher-tier plans.

Pricing:

• Hobby Plan: $16/month for 3,000 credits.
  
• Growth Plan: $333/month for 500,000 credits.

8. DataForSEO

DataForSEO provides a range of APIs tailored for SEO and SEM analysis. The platform allows users to retrieve search engine data from multiple sources, including Google, Yahoo, and Baidu. Its SERP API is particularly useful for tracking keyword rankings and analyzing search engine performance. DataForSEO offers high scalability, supporting up to 2,000 API calls per minute. It also provides real-time data, allowing businesses to stay up-to-date with the latest search trends. The platform is widely used by SEO professionals for market research and website performance monitoring. DataForSEO’s pricing is flexible, with an unlimited free trial to help users get started.

Key Features:

• SEO-Focused: Provides tailored APIs for SEO professionals, focusing on keyword rankings and search visibility.
  
• Multiple Search Engines: Supports Google, Yahoo, Baidu, Seznam, and others.
  
• Live Mode: Real-time search data for up-to-the-minute insights.
  
• Free Trial: Unlimited free trial available to test the service.

Pros:

• Excellent for SEO and market research use cases.
  
• Flexible pricing and free trial.
  
• High-quality, real-time data.

Cons:

• Scalability is somewhat limited to 2,000 requests per minute.
  
• May not be as versatile for non-SEO use cases.

Pricing:

• Standard Queue: $0.0006 per SERP page.
  
• Live Mode: $0.002 per SERP with up to a 6-second turnaround.

9. SearchApi

SearchApi provides real-time access to search engine results, specializing in Google, Bing, and Yahoo. It enables users to collect valuable search data for SEO, market research, and competitive analysis. The platform supports integrations with LLMs, allowing it to be used as a web search API in AI-driven workflows. SearchApi offers easy integration with no-code platforms, making it accessible for users without extensive development experience. The platform’s scalability is solid, supporting up to 20% of the plan’s credits per hour. SearchApi provides an affordable entry point for small users while offering competitive pricing for larger volumes.

Key Features:

• Real-Time Search: Retrieves up-to-date results from major search engines.
  
• LLM Integration: Supports integration with no-code platforms and unofficial LangChain tools.
  
• Flexible Search Filters: Allows filtering by country, language, and search type.
  
• Free Tier: 100 free requests per month.

Pros:

• Great for SEO monitoring and web search functionality.
  
• Flexible pricing and scalability.
  
• Easy integration with no-code tools.

Cons:

• Limited scalability for very high-volume users.
  
• Lacks advanced customization compared to other providers.

Pricing:

• Developer Plan: $40/month for 10,000 searches.
  
• Production Plan: $100/month for 35,000 searches.

10. ZenSerp

ZenSerp offers a streamlined SERP API solution for those in need of real-time search engine data. It supports popular search engines like Google, Bing, and Yandex. ZenSerp’s API is ideal for tracking keyword rankings, analyzing search volume, and gaining SEO insights. It allows users to customize their search queries based on parameters such as location and language. ZenSerp supports up to 400 concurrent connections, making it suitable for medium-scale projects. The platform offers a free plan with 50 searches per month, making it an affordable option for small-scale users. ZenSerp’s simple API and customizable features make it a great choice for straightforward SEO and search tracking tasks.

Key Features:

• Search Engine Support: Includes Google, Bing, and Yandex.
  
• Custom Queries: Supports location, language, and keyword-specific queries.
  
• High-Concurrency: Allows up to 400 concurrent connections.
  
• Free Plan: 50 free searches per month.

Pros:

• Ideal for keyword tracking and SEO analysis.
  
• Easy-to-use API with customizable search parameters.
  
• Free plan for light usage.

Cons:

• Lacks advanced search engine support beyond Google, Bing, and Yandex.
  
• Limited scalability compared to more robust solutions.

Pricing:

• Small: $49.99/month for 5,000 searches.
  
• Medium: $129.99/month for 20,000 searches.

Conclusion

The SERP APIs listed above represent the best of 2025, offering a mix of scalability, functionality, and integration options. Bright Data leads the pack with its comprehensive search engine coverage and seamless integration capabilities, while other providers like SerpApi and Tavily offer specialized solutions for different needs. Depending on your use case, whether it’s SEO analysis, AI-driven search, or competitive research, there’s a SERP API out there to fit your needs.

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