Roi Driscoll - SerpApi

What is an API? Part 3: Dynamic Data Displays with D&D!

Welcome to the final instalment of our series on explaining what an API is! In this episode, we're going to be exploring a real-world API, this time in the context of the ever-popular roleplaying game: Dungeons & Dragons! Let's recap what we've

getting-started

What is an API? Part 2: Feeding the Machine (JSON)

In the last part of this series, we looked at how web pages are loaded into the browser, and how the content that is downloaded (HTML & CSS) is designed for humans to understand, primarily visually. We also discussed that for a machine, parsing (or understanding) this content works differently.

getting-started

What is an API? Part 1: The Secret Life of a Web Browser

To understand what an API is and why it's useful to you, we first need to look at something you do dozens of times a day: loading a website in your web browser.

Google Trends

Keyword vs Intent: Why Topics Matter

If you've ever tracked a brand or product using Google Trends and wondered why the numbers looked off (or why two markets show completely different trend lines for the same thing), you may have been using a search term when you should have been using a topic.

How Location Affects SERP Results

When people visit a search engine and perform a search, they often assume the only thing they’ve “sent” to the search engine is the query itself: "How is chocolate made?" or "Best vehicle in MarioKart?". In reality, every search is packed with implicit metadata: your

Google Maps

Scrape Google Maps Reviews for London's Best Roast Dinner! (Part 2)

In this series we'll use SerpApi to scrape Google Maps reviews in order to find the best Sunday Roast the pubs of London have to offer!

Google Maps

Scrape Google Maps Reviews for London's Best Roast Dinner! (Part 1)

In this series we'll use SerpApi to scrape Google Maps reviews in order to find the best Sunday Roast the pubs of London have to offer!

google search

Calculating Search Credit Usage with SerpApi

A common question we get asked is: "how many search credits will it cost to do x" (or something along those lines), so I thought it would be fun to explain how I calculate these things when asked.

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