Scrape · eBay
The price isstill moving.
Bids climb, clocks run out, listings sell. Fetch captures the live state and the sold truth, as clean typed data.
Every bid, in order.
The full bid history, not just the top number. Who bid, how much, and when, parsed row by row.
b***7€147just now
k***2€1422m ago
s***9€1386m ago
r***4€13111m ago
m***1€12518m ago
t***8€11824m ago
a***3€11031m ago
Worth is what it sold for.
Scrape completed listings and the real value shows up: every sale as a point, the median as a line.
median €142range €118–€16863 sold · 90 days
Every part, a field.
The listing a buyer reads maps one-to-one to the record you get. Six parts, six typed fields.
1Vintage Timex Weekender · 40mm
2€210 · Buy It Now
3Condition: Pre-owned
4watchguy_de · 99.2% · 4,812 sold
5Free shipping · 3-day
6Brand Timex · Quartz · 40mm
1title"Vintage Timex…"
2buy_now210
3condition"pre-owned"
4seller{ rating: 99.2 }
5shipping"free"
6item_specifics{ … }
The wall, in one log.
A raw request bounces off eBay's defenses. The same URLs through Fetch come back parsed, sold view and all.
$ curl "ebay.com/sch/i.html?_nkw=timex"403 Forbidden
$ curl --retry 5 (rotated IP)CAPTCHA
$ zenrows fetch "ebay.com/sch/…?_nkw=timex&LH_Sold=1"200 · 240 sold
$ zenrows fetch "ebay.com/itm/3859201746"200 · listing.json
Price anything, live.
One listing or a whole category, auctions and sold history included. Structured eBay data, without the parsing or the blocks.
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10,000 credits/month for free, always
What teams build with it
Resale arbitrage
Price research
Competitor monitoring
Inventory sourcing
Dropshipping feeds
Market analysis