Terry Tan - SerpApi

Retrieving a Direct Media Link from the Google Ads Transparency Center API

We launched the Google Ads Transparency Center a few months ago, and our customers are happy using it. However, there is one imperfection in the API that we would like to address in this blog post. We have a comprehensive tutorial on using SerpApi in NodeJS. Feel free to check

LLM

I wish Google worked this way

LLMs are extremely effective at summarizing content. While hallucination remains a critical problem, the current stage of OpenAI’s GPT-4 is already useful for many tasks. One improvement I wish Google would implement is the ability to ask follow-up questions. This could be useful when quickly scanning through restaurant reviews.

Google

Every Google &udm=? in the world

Appends udm=14 to the Google search URL to instruct Google to only return the Web results. There is even an extension and website built specifically for this use case. This is suitable for users who would like to have clean search results without the clutter from Knowledge Graph, Local

Sports Analysis using AI

AI Agent is eating the world. The current state-of-the-art LLM has an adequate level of human reasoning. It is exciting because it can help take care of the mundane tasks, and leave us to do the tasks we care about. In this blog post, I will showcase how to create

LLM

OpenAI GPT-4 vs Groq Mixtral-8x7b

A few months ago, we ran a benchmark on a traditional parser and Mistral 7B (Open Source LLM). The quality of the parsed result from Mistral 7B is quite impressive given it is only 7B parameters. One thing we weren't satisfied with is the processing time. Recently, I

Google Ads

Monitoring Competitors' Google Ads

Google Ads Transparency Center is a search engine for ads that are published through Google. The move on Google on this is awesome for transparency on the internet. Google Ads Transparency Center gives the power to the users to block or report any ads for valid reasons. For marketers, it

Google

How to Scrape Google Search Results with Java

Google processes approximately 99,000 search queries per second, which is about 8.5 billion searches in a day. With that amount of search volume, Google must provide rich and diverse data to serve its users well. Scraping Google search results is one of the best ways to gather intelligence

URL Normalization

URL Normalization caused a bug in our service

Recently in SerpApi, our customers faced an issue in which using a query that contains some form of Unicode wouldn’t work, for example synergy²-madison-3, noticed the ². This is supported by the browsers, navigate to https://www.yelp.com/biz/synergy²-madison-3 in Chrome should work just fine, but

google search

Movie Ratings Data Visualization with Google SERP API in Python

Google is a great source of valuable data. There are numerous use cases for scraping Google data, such as SEO, finance, local results, and more. This blog post showcases the process of scraping movie ratings data from Google as presented on platforms like IMDb and Rotten Tomatoes. We will also

APIs

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Features

Use Cases