Platform · eBay

eBay Data Scraping Services

The one major marketplace where achieved prices are public, not inferred.

eBay data scraping is the automated collection of publicly visible eBay data — active listings with auction and fixed-price formats separated, sold and completed listings with achieved prices where eBay publishes them, condition tiers, seller identity and site variants — which makes it the rare marketplace where transacted price is observable rather than modelled.

Every other page on this site says the same thing: platforms do not publish what things actually sold for. eBay is the exception. Completed listings show achieved prices, and that changes what this dataset can do.

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ebay_sold.jsonl LIVE FEED

{"ebay_item_id":"v1|3348120471|0", "site":"US", "listing_format":"auction", "listed_price":0.99, "sold_price":184.00, "shipping_cost":12.50, "achieved_total":196.50, "sold_at":"2026-08-04","days_to_sale":7, "bid_count":31, "outcome":"sold", "condition_tier":"Used - Very Good", "condition_seller_declared":true, "seller_feedback":99.2, "seller_is_business":false, "sold_window_source":"live_sweep"} {"ebay_item_id":"v1|3348199012|0", "listing_format":"fixed_price_best_offer", "listed_price":249.00, "outcome":"sold", "sold_price":"null", "price_may_differ_from_listed":true}

2 of 6,884,210 listing rows · sites: 4sold sweeps: rolling window · schema v2.9

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to eBay or its owners. eBay and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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eBay at a glance

How we handle eBay specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Platform: eBay across US, UK, DE, AU and other site variants
What makes it unusual: Sold listings publish achieved prices — observable, not modelled
Formats: Auction, fixed price and best-offer accepted, kept separate
Condition: eBay condition tiers captured as published, including item specifics
Sellers: Seller identity, feedback score and business-versus-private indication where shown
Sites: Site variant on every record, since the same item prices differently per site
Refresh: Daily on active listings; sold-listing sweeps on your chosen cadence
Region: Global, with site variant recorded

Platform specifics

What makes eBay data different from every other marketplace

These are the reasons a eBay dataset needs its own handling rather than a shared retail schema.

Sold listings are actual achieved prices

This is the field that justifies collecting eBay separately. Completed and sold listings show what a buyer actually paid, with a date. On Amazon, Walmart, Flipkart or Shopee, no equivalent exists at all.

What that enables

Real price distributions rather than ask-price distributions. The gap between listed and achieved is often substantial.
Sell-through measurement — how many listings of an item sold versus ended unsold.
Achieved price by condition, which is the basis for any resale or valuation work.
Time-to-sale from listing date to sale date.
Auction close prices, which reveal genuine demand ceilings for scarce items.

The limits, stated plainly

eBay's completed-listing history is time-limited, so this is not an unlimited archive. Collection has to be continuous to build history rather than retrospective. We record sold_window_source so you know whether an achieved price came from a live sweep or from our archive.

Shipping is frequently excluded from the displayed sold price, so we capture shipping_cost separately and compute achieved_total where both are available. A sold-price analysis that ignores shipping understates achieved value, sometimes materially on low-value items.

Three sale formats that are not comparable

An eBay listing can be an auction, a fixed price, or a fixed price with best offer enabled. Averaging their prices together produces a figure that describes none of them.

Auction close prices reflect competitive bidding and can land above or below fixed-price levels for the same item.
Fixed-price listings are ask prices until sold.
Best-offer accepted means the achieved price is below the listed price by an amount eBay does not always publish.

We capture listing_format and best_offer_enabled, and where a sale completed via accepted offer we flag price_may_differ_from_listed rather than treating the listed price as achieved. That distinction matters: treating a best-offer listing's ask as its sale price systematically overstates achieved values.

Condition and item specifics carry most of the value variance

On a marketplace dominated by used and refurbished goods, condition explains more price variance than any other field. eBay publishes structured condition tiers plus free-text item specifics.

We capture the published condition tier exactly, plus structured item specifics where eBay exposes them — and we do not attempt to normalise across sellers, because condition descriptions on a peer marketplace are seller-declared and inconsistent by nature.

What we do instead is flag condition_seller_declared as always true for peer listings, distinguishing them from eBay Refurbished and similar programme listings where condition is verified by a process. Those are genuinely different evidential quality and a valuation built on merged data will be wrong.

Site variant matters alongside this: the same item on the US and UK sites has different prices, different seller pools and different shipping economics. site is on every record.

Scope

What we collect on eBay, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Active listings with format: auction, fixed price or best-offer enabled
Sold and completed listings with achieved prices where eBay publishes them
Shipping cost separately, with achieved total computed where both are available
Condition tier as published, with seller-declared flagged distinctly from programme-verified
Structured item specifics where exposed
Seller identity, feedback score and business indication where shown
Site variant on every record
Time to sale, and sold versus ended-unsold outcome
Auction bid counts where published

❌ What we do not, and why

Achieved prices for best-offer sales where eBay does not publish the accepted amount
Buyer identity or bidding history by individual
Completed listings beyond the window eBay makes public
Seller Hub or any credentialed eBay system
Reviewer or buyer personal data

Core eBay fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
ebay_item_id	Listing identifier, the record key
site	Site variant, mandatory since price and seller pool differ per site
listing_format	auction, fixed_price or fixed_price_best_offer
listed_price / shipping_cost	Ask price and shipping, kept separate
sold_price / achieved_total	Achieved price where published, plus total including shipping
sold_at / days_to_sale	Sale date and elapsed days from listing
outcome	sold, ended_unsold or still_active
price_may_differ_from_listed	Set where a best-offer sale means achieved price is unpublished
condition_tier / condition_seller_declared	Published tier, and whether condition is seller-declared
seller_id / seller_feedback / seller_is_business	Seller identity and business indication where shown
sold_window_source	Whether the achieved price came from a live sweep or our archive

Use cases

What teams do with eBay data

Achieved price benchmarking

Sold listings provide actual transacted prices by condition and format, giving a real price distribution rather than the ask-price distribution every other marketplace limits you to.

Resale and residual value analysis

Achieved prices by condition tier with time-to-sale support residual value curves for categories where eBay is the liquid secondary market.

Sell-through and demand measurement

Sold versus ended-unsold outcomes with days-to-sale quantify genuine demand rather than inferring it from availability changes.

Grey market and unauthorised seller monitoring

Seller identity with business indication and achieved prices reveal where product is moving below intended levels outside authorised channels.

The 24-hour sample — run on your sources, not ours

Send us a eBay item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned inside two business days
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

eBay is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. eBay data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what ecommerce data scraping covers, and a eBay-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

eBay data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Yes, where eBay publishes them on completed listings — and this genuinely is the exception among marketplaces. Everywhere else we are explicit that transacted prices are not published.

Two caveats we state in the data: eBay's completed-listing history is time-limited, so continuous collection is needed to build history rather than retrospective sweeps; and shipping is often excluded from the displayed sold price, so we capture it separately and compute an achieved total.

Where a sale completes via an accepted offer, the achieved amount is frequently not published. We set price_may_differ_from_listed rather than treating the ask as the sale price.

This matters more than it sounds: treating best-offer asks as achieved prices systematically overstates achieved values across a whole category, and the bias is invisible unless the flag exists.

No, deliberately. Condition on peer listings is seller-declared and inconsistent by nature, so a normalised scale would imply comparability that does not exist.

We capture the published tier exactly and flag condition_seller_declared, which distinguishes peer listings from eBay Refurbished and similar programme listings where condition is process-verified. Those are different evidential quality and merging them corrupts any valuation built on the data.

Because the same item on the US and UK sites has different prices, different seller pools and different shipping economics. Cross-site comparison without the site field produces averages that describe no actual market.

It also matters for grey market work: an item appearing on a site where it should not be distributed is itself the finding.

Only as far as eBay's public completed-listing window at the time of collection, which is limited. There is no way to retrieve older achieved prices retrospectively.

That makes this a service where starting earlier is worth more than on most others — history accumulates from when collection begins. We record sold_window_source so you always know whether a price came from a live sweep or from our archive.

We quote individually. Drivers are category or item scope, site count, and crucially whether sold-listing sweeps are required and at what cadence — sold sweeps add substantial volume because they cover a rolling window rather than a current state.

Active-listing collection on a defined category sits at the lighter end. Multi-site coverage with frequent sold sweeps sits higher. One scoping call, a free pilot within 24 hours, then a fixed monthly quote. Request a quote.

See real eBay data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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