I hope you're adding some fictitious entries (https://en.wikipedia.org/wiki/Fictitious_entry) to track where those scrapes might be going.
https://reason.com/category/criminal-justice/civil-asset-for...
Really needs a way to refine search results to "within X miles of $someGeoPointOrZipCode". I am seeing a lot of neat stuff in California ... but i'm not going to drive 7 hours to go pick it up :)
The worst ones will try to add a few extra holes the night before the auction
Govdeals managed services (or whatever they call it now) is just as questionable as 3rd party sellers on any given big bog store's ecommerce "platform".
I didn't realize the government could become Amazon.
Mil-spec transport containers? Excellent.
Mil-spec rucksacks? Not so excellent.
The lowest bider thing is such a lame meme. Vendors are going to design a product to cost as little as possible to meet spec. Most consumer products have little to no required specs so they can make it even cheaper. However, since milspec products often just have one spec they are designed to, you have a limited selection of quality. No one is making milspec birkin bags. But in the consumer space, you can buy anything between Temu and high-end designer quality.
i saw a listing that ends in 39 minutes and was at $806
i click to be taken to the listing and its $1,270.00
Great idea though
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on Chrome 147.0.7727.102
Sometimes requiring months in advance
So I want an agent that does that automatically and I don’t want to do it on my computer
So I scraped them all and put one search box in front. 180,276 active listings as of today, normalized into a shared schema in Postgres with full-text search. About 53,000 new listings come in every week.
A few real things you can buy this week, all live in the data:
- A 2000 Bell 430 helicopter (executive model), $250k starting, 0 bids: https://www.govdeals.com/asset/8103/23762
- A 1985 Cessna 182R aircraft in Missouri, $33k starting, 0 bids: https://www.govdeals.com/asset/36476/430
- An M75 APC armored personnel carrier on Ritchie Bros, no bids yet: https://www.rbauction.com/pdp/armored-tank-m75-apc-personnel...
- A Rolls-Royce ship thruster, never used, $500k starting: https://www.govdeals.com/asset/247/16144
- A 2.3 kg iridium-platinum ingot (police seizure on PropertyRoom), 52 bids, currently $175k: https://www.propertyroom.com/l/iridium-platinum-ingot-ir90-p...
- A 1927 Seagrave fire truck, "runs, drives, and titled," $24k, 0 bids: https://www.govdeals.com/asset/285/16223
- A truck-mounted forklift from a manufacturer literally named "Donkey & Burro": https://www.govplanet.com/for-sale/Forklifts/14842632
The work that took longest wasn't the scraping (each source has its own quirky JSON or HTML), it was the dedup. The same Fannie Mae foreclosure shows up under three different addresses across three platforms. A "2008 Ford F-150" from GSA Fleet looks structurally identical to one from PublicSurplus, but they're different vehicles with different VINs, and the only way to know is to fingerprint enough metadata to make a confident match.
There's a deal score per listing (price vs category median, bid velocity, time remaining, starting-bid ratio) and SEO landing pages per state-by-category combo, mostly because long-tail government-auction queries on Google are nearly all unanswered.
Stack: Next.js, Postgres, TypeScript scrapers per source, daily refresh.
Happy to answer questions about scraping the federal sites (some of them really do not want to be scraped) or how the deal scoring works.
I wish I had jumped on those offers back when they were in the back of Boys Life, Popular Mechanics, and SOF magazines back in the day.