Updated March 1, 2026
Maintaining a system to collect search data is a full-time job. Search engines frequently change their structures, which breaks traditional scraping tools. By using our API, you shift that burden to us.
We handle the proxies, the IP rotation, and the parsing logic.
Integration is generally straightforward for any developer familiar with RESTful APIs. Because we provide data in standard JSON format, it can be consumed by almost any modern programming language, including JavaScript, Python, Ruby, and PHP. In our experience, most software teams can have a basic proof-of-concept running within a single afternoon.
We provide comprehensive documentation and code samples to help your team map our data fields to your application's requirements with minimal friction.
Standard SEO tools are built for general use cases and often have rigid interfaces. An API for SEO software projects is designed for those who need flexibility and ownership over their data. If you want to combine SEO data with your own proprietary metrics, build a unique user interface, or automate a very specific workflow that off-the-shelf tools don't support, an API is the only viable path.
It allows you to build a 'best-in-class' solution tailored specifically to your business needs rather than adapting your business to a tool's limitations.
Yes, geo-targeting is one of the core strengths of our API. You can specify coordinates, zip codes, or city names in your requests. This is particularly useful for software projects focused on local SEO, where rankings can vary significantly from one neighborhood to the next.
By passing the location parameter to the API, you ensure that the data your software receives is a true reflection of what a local user would see on their device, providing much higher accuracy for local service businesses.
We offer both real-time and cached data options depending on your project's needs. Real-time requests fetch the very latest information directly from the search engine at the moment you call the API, which is ideal for tracking volatile keywords or breaking news. Cached data is slightly older but is often faster and more cost-effective for large-scale projects where minute-by-minute accuracy isn't required.
Most of our clients use a combination of both to balance speed, cost, and data freshness.
This is the primary reason software teams choose our API over building their own scrapers. When a search engine changes its layout, our engineering team immediately updates our parsing logic to accommodate the change. For you, the end-user, the JSON data structure remains consistent, meaning your software won't break.
We act as a buffer between the unpredictable nature of search engine layouts and the stability of your software, ensuring your data feed remains reliable regardless of external changes.