SERP APIs

Extract search engine results data with these amazing Rest APIs.

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#1

SerpApi

Real-time API for programmatic search results from Google and more in JSON format.

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#2

Tavily

Real-time search engine for AI workflows and LLM integration

Fast, affordable Google Search API with real-time results and flexible pricing.

Integrate web search capabilities into your application for accessing various media and news efficiently.

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#5

Zenserp

Efficient SERP API for real-time SEO, market insights & competitive analysis.

The Google Search API allows developers to integrate Google's search features into their applications, providing web or image search results in JSON format with 100 free queries per day.

Real-time SERP API for geotargeted, multi-format data extraction from Google.

Effortlessly scrape Google search results in real-time with customizable options for location, language, and device.

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#9

serply

Real-time Google Search API with JSON data and captcha bypass.

Cost-effective API for real-time search data with easy integration

Real-time Structured Search Results API Without Proxies or Captchas

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Buyer's Guide & Category Overview

SERP APIs — Buyer's Guide & Overview

What is a SERP API?

A SERP (Search Engine Results Page) API is a service that fetches structured data from search engine results in real-time. Instead of manually scraping search pages - a process that is unreliable and prone to being blocked - you send a simple API request with your keyword, location, and other parameters. The API handles the difficult parts, such as managing proxies, solving CAPTCHAs, and parsing the HTML, returning the results in a clean format like JSON.

Why Use a SERP API? Key Use Cases

SERP APIs are crucial for anyone who needs reliable, large-scale access to search engine data. They eliminate the engineering overhead of building in-house scrapers and provide a stable platform for various applications.

For SEO and Marketing Professionals

  • Rank Tracking: Accurately monitor keyword positions across different geographic locations and devices.
  • Competitor Analysis: Analyze the organic keywords, ad copy, and featured snippets of competitors.
  • Market Research: Aggregate data to understand search trends, user intent, and popular questions within a niche.

For Developers and Data Scientists

  • Building Applications: Integrate real-time search data into your products, such as price comparison engines or news aggregators.
  • AI and LLM Integration: Provide current, factual information to Large Language Models (LLMs) to ground their responses and power AI agents.
  • Data Extraction: Scrape specific data points like product prices, reviews, or local business information at scale.

How to Choose the Best SERP API

The right API depends on your project's needs. As a developer, consider these key factors when evaluating the services listed on this page:

Key Features to Consider

  • Data Accuracy & Parsing: Does the API reliably parse all necessary SERP features (e.g., local pack, shopping results, knowledge graph, ads)?
  • Speed & Reliability: Check the average API response time and uptime guarantees.
  • Supported Search Engines: Does it only support Google, or does it also cover Bing, Baidu, Yandex, etc.?
  • Customization: Can you specify parameters like geolocation, language, and device type (mobile vs. desktop)?
  • Documentation & Support: Is the API documentation clear for easy integration into your stack (Python, etc.)?
  • Pricing & Scalability: Look for a flexible pricing model (subscription vs. pay-per-call) and a generous free tier for testing.