Terry Tan - SerpApi (Page 2)

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

LLM

Traditional Parser vs Open Source LLM Parser (Mistral 7B)

At SerpApi, we are always looking for methods to improve our web scraping parser to better serve our customers. Previously, we have experimented with Machine Learning for parsing and make a comparison against our traditional parser. This time, we're turning our attention to Large Language Models (LLMs) to

Google Hotels API

Scraping Google Hotels

Scraping Google Hotels for hotels data can be valuable to your business. These data can be used for 1. Analysis: Data such as pricing, availability, ratings, and reviews could be useful for market analysis, competitive research, and understanding pricing trends. 2. Price Comparison: Compare prices across various platforms or to

openai api

My Experience building with OpenAI's Assistants API

TLDR: Like most API products in the market, Assistants API allow us to build the core of our product A lot of amazing stuffs are announced on OpenAI DevDay like GPT-4 Turbo with 128k context, GPT with Vision and lower pricing. The one I am fond with is the new

APIs

Easy Integrations

Features

Use Cases