Bring a Trailer Auction Listings Scraper
Pricing
from $21.83 / 1,000 auction listings
Bring a Trailer Auction Listings Scraper
Scrape live car auction listings from bringatrailer.com: current bid, reserve status, VIN, lot number, seller, listing details, gallery images and comments. Pay per result.
Pricing
from $21.83 / 1,000 auction listings
Rating
0.0
(0)
Developer
Vitalii Bondarev
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
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Scrape live car auction listings from bringatrailer.com: current bid, reserve status, VIN/chassis, lot number, seller type, listing details, gallery images and comments. Pay per result, no monthly fee.
What you get
id, title, year, currentBid, currentBidFormatted, currency,
auctionStatus, auctionUrl, reserveMet, noReserve, premium,
location, country, countryCode, lat, lon, description, images,
galleryImages, listingDetails, history, privatePartyOrDealer,
lotNumber, comments, watchUrl, auctionEndDate, sellerLocation,
vin, imageUrl, scrapedTimestamp.
How it works
GET /auctions/→ inline JSON with the currently-live auction listings (up to ~1000 in one page load).GETeach listing page → inline JSON (comments/bids) + server-rendered HTML (VIN, lot #, seller, listing details, gallery, description).- Normalize → push + charge one
listing-resultevent per record.
No headless browser or challenge-solving needed — see src/fetch.py for the
full access-probe finding (issue #105).
Input
| Parameter | Type | Default | Description |
|---|---|---|---|
maxItems | integer | 100 | Max results (0 = all live listings) |
keyword | string | — | Optional case-insensitive title filter |
make | string | — | Optional case-insensitive title filter |
proxyConfiguration | object | RESIDENTIAL/US | Apify proxy settings |
Legal note
Bring a Trailer auction listings are public pages. All data (bid, VIN, seller type, comments) is displayed publicly on the listing page for the purpose of informing bidders. Scraping for research/aggregation is consistent with the data's public, intended purpose.
