Please find below some of the most popular articles I've written on Gary's Guide To Flippa.

Flippa is an auction site for buying and selling websites as businesses. Browsing the listings shows many low quality products. With careful inspection, there are often interesting, quality listings, but they are swallowed in the noise. Occasionally there are successful e-commerce sites, un-maintained high-traffic developer forums, or fire-sales on start-ups. Often these are educational, but [...] Read More...

The following data show revenue generating partners most commonly mentioned in Flippa auctions. This data is from approximately 76,000 auctions representing over 58,000 domains – note that in many cases more than one advertiser is mentioned per site. This is a broad section of revenue generation strategies, from CPC, CPA, affiliate sales, link sales, etc. [...] Read More...

In a previous post, I listed the top Flippa advertisers, gained through the node.js web scraper. Which advertisers are mentioned most often in auctions by banned sellers? As you can see, there is a big drop in the “unknown” category, and a big increase in banned accounts associated with Infolinks and CJ. After visual inspection, [...] Read More...

Weka is an open-source data-mining tool written in Java, providing a host of data mining algorithms. I am using it to build a proof-of-concept model that can classify auctions based on their value: fraudulent listing, zero valued listing, overpriced listing, or underpriced listing. I’ve scraped some data from Flippa, a website/business auction site, to facilitate [...] Read More...

Since all my scraped data is in Postgres, this is the easiest way to get it out – the fastest iteration possible. At some point I’ll probably switch to a Java library. It’s interesting to see, but probably the only lesson from this is that all ETL scripts are ugly. WITH advertisers_ranked AS ( SELECT [...] Read More...