SERPHouse

A few years ago, getting the top 100 results from Google was easy.

You could just pass a parameter and get everything in one request.

That’s no longer the case.

Google now limits results to ~10 per page, which completely changed how SERP data works at scale.

For anyone building SEO tools, rank trackers, or keyword products - this became a real problem.

At SERPHouse, we had to rethink how we handle this.

Instead of relying on a single request, we built a system that:

• Iterates across multiple result pages

• Aggregates results into a single structured response

• Handles pagination, retries, and edge cases automatically

So you can still get up to 100 results - without dealing with the complexity.

Curious how others are handling this change?
Are you fetching multiple pages or limiting to the top 10–20 results now?

I spent more time fixing scraping than building my actual product

That’s honestly why we built SERPHouse.

While working on SEO tools, getting SERP data at scale was always painful:

• APIs were slow or unreliable

• Data was inconsistent

• Proxies & captchas kept breaking things

• Costs kept increasing as we scaled

At some point, it felt like we were running an infrastructure company instead of building a product.

So we decided to fix it for ourselves first.

We built an internal system that handled:

• Reliable SERP extraction

• Clean structured data

• Scaling without constant failures

That eventually became SERPHouse.

Curious - how are you currently handling SERP data or scraping at scale?