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eBay sold data API alternatives, compared

Compare hosted APIs, eBay research tools, and scraping platforms. Find the right fit for sold comps, active listings, and the way you build.

By SoldFetch Updated

The comparison at a glance

A research dashboard, a listing API, and a scraping job solve different problems. Start with the output your workflow needs.

Compare eBay data options by delivery model, data, pricing in USD, and setup.
OptionDeliveryDataPrice (USD)Setup
SoldFetchREST API + MCPSold and active listings; item details

Free: 100 requests/mo. Paid: $9, $29, or $79/mo.

SoldFetch plans
API key
SoldCompsHosted APIRecent sold-listing data

Free: 100 requests/mo. Paid: $9–$79/mo; custom plans up to $549/mo.

SoldComps pricing
API key
eBay Product ResearchSeller Hub dashboardSales research and market trends

Free for eBay sellers

eBay research tools
Seller Hub account
eBay Browse APIOfficial REST APIPurchasable listings and item details

Free, subject to developer access and call limits.

eBay developer access
OAuth + production requirements
eBay Marketplace InsightsRestricted official APIMarketplace sales insights

Free according to SoldComps; restricted access.

SoldComps pricing reference
Restricted access
Bright DataScraper APIs + datasetsProduct, seller, and pricing fields

5,000 free records/mo. $1.50/1,000 records pay as you go; plans from $499/mo.

Bright Data pricing
Select a scraper or dataset
Apify ActorsHosted scraping jobsDepends on the selected Actor

Free: $5 usage credit/mo. Plans from $19/mo + pay as you go; Actor rates vary.

Apify pricing
Configure and run an Actor
Self-managed collectionYour own pipelineWhat your collector can observe

Estimated proxies: $3–$8/GB, plus hosting and engineering time.

SoldComps proxy estimate
Build, operate, and maintain

Prices are in USD with monthly billing unless stated otherwise. Reviewed October 14, 2026. Marketplace Insights pricing and the DIY proxy estimate follow SoldComps’ July 2026 comparison; other rows link to provider pricing. Requests, records, and usage credits are different billing units. Scroll horizontally on smaller screens.

Explore the alternatives

01 / REST API + MCP

SoldFetch

SoldFetch brings sold search, category search, and item details into one API. REST requests and MCP tools use the same validation and quota accounting, so an application and an agent can work with the same response conventions.

Search pages return up to 200 results, with the US, UK, and Germany currently supported. One successful search page or item lookup uses one unit, including cache hits and empty results. Failed requests are not charged.

Best for: Applications and AI agents using a shared eBay data contract.

What to weigh: These are displayed listing prices, not verified settlement amounts. Accepted-offer amounts and unknown shipping remain null; search sale dates are supplier-reported and unverified.

Explore the SoldFetch APIs

02 / Hosted API

SoldComps

SoldComps offers recent eBay sold listings through a hosted JSON endpoint. Its published comparison describes eight eBay marketplaces and up to 240 items per request, making coverage and page size useful points to compare with your workload.

If you already use SoldComps, review the endpoint and field differences before migrating. Familiar paths do not guarantee matching filters, output semantics, or feature coverage.

Best for: Teams evaluating a dedicated sold-comps API.

What to weigh: Test representative searches on both services and compare the fields you actually consume, rather than treating their contracts as interchangeable.

Read the SoldComps overview

Read the SoldFetch vs SoldComps comparison

03 / Seller Hub dashboard

eBay Product Research

Product Research, formerly known as Terapeak, is eBay’s own research experience in Seller Hub. It includes sales metrics, pricing trends, and filters that help sellers understand demand and improve their listings.

It is a practical starting point when a person is making the decision: researching a category, checking comparable listings, or deciding what to sell next.

Best for: Sellers researching products and pricing by hand.

What to weigh: A dashboard workflow is different from a documented JSON endpoint for your application. Choose based on whether you need interactive research or a software integration.

See eBay’s research tools

04 / Official REST API

eBay Browse API

The Browse API supports item discovery by keyword, category, product identifiers, and other search criteria. It belongs to eBay’s buying APIs and is a natural option for applications helping shoppers find items.

Evaluate it when your workflow needs current inventory and item details. A current asking price serves a different purpose from a completed-sale comparable.

Best for: First-party buying experiences and active inventory discovery.

What to weigh: Do not assume a buying search endpoint provides sold-history data. Confirm production eligibility, supported filters, and call limits before choosing it.

Read eBay’s Buy API overview

05 / Restricted official API

eBay Marketplace Insights

Marketplace Insights is another official route to investigate for sales research. Its overview currently redirects to a developer sign-in page for private documentation, so public availability should not be assumed.

If your organization has access, review the authorized documentation and your agreement directly. Verify the fields, history window, marketplaces, and quotas available to your application.

Best for: Teams that already have the required eBay access.

What to weigh: Make access verification an early step. Do not design an integration around an API you have not been approved to use.

Check Marketplace Insights access

06 / Scraper APIs + datasets

Bright Data

Bright Data provides an eBay scraper alongside a wider collection of scraping and dataset products. Its eBay page lists fields such as title, condition, price, currency, shipping cost, and seller information.

A broader platform can be useful when eBay is one source in a larger data pipeline. Compare the delivery format and billing unit of the particular product you plan to use.

Best for: Teams collecting data across multiple websites.

What to weigh: Validate completed-sale coverage with a sample. General product fields alone do not establish that a dataset contains the sold records your pricing model needs.

Explore Bright Data’s eBay scraper

07 / Hosted scraping jobs

Apify Actors

Apify offers eBay Actors that run collection jobs and produce datasets. For example, the eBay Product & Sold Scraper advertises search, listing details, and sold history, with scheduled runs and API access.

Evaluate the individual Actor’s author, inputs, output schema, pricing, and maintenance history. Actors are separate products, so the capabilities of one should not be attributed to the whole marketplace.

Best for: Batch collection and teams already working in Apify.

What to weigh: Account for job completion and dataset retrieval in your application. Confirm whether the selected Actor supports your marketplaces and required sold-data fields.

View an eBay Actor example

08 / Your own pipeline

Self-managed collection

Building your own collector gives you control over parsing, storage, scheduling, and data-quality rules. That control can matter when a standard API does not expose the fields or workflow you need.

Budget for more than the initial parser: retries, page changes, monitoring, duplicate detection, and marketplace-specific currencies all become your responsibility. Compare ongoing engineering effort as well as infrastructure costs.

Best for: Teams that need custom extraction and own the infrastructure.

What to weigh: Owning the collector does not create missing source data. Keep unavailable values explicit, and validate the evidence behind prices and dates.

Compare the managed API approach

Which option should you choose?

Common questions

Which eBay data alternative should I choose?

Start with the workflow: manual research, a live application, or batch collection. Then test the required marketplaces, sold-versus-active filters, response fields, and cost per usable result. The best fit depends on those requirements.

Are sold listing prices the same as final sale prices?

Not necessarily. A displayed listing price may not reveal an accepted offer or the full transaction amount. SoldFetch preserves unknown accepted-offer amounts and shipping as null and marks search sale dates as unverified.

How much sold history can I retrieve?

History depends on the source, product, filters, and access you have. Do not assume a dashboard and a public listing API expose the same window. Validate dated samples and completeness before promising historical coverage to your users.

How do I compare pricing fairly?

Requests, records, jobs, and compute time are different billing units. Estimate the searches, pages, item lookups, and refresh frequency your workflow needs. Use current pricing pages and include your own integration and maintenance costs.

Can I move an existing SoldComps integration to SoldFetch?

Review the dedicated comparison and compatibility guide first. SoldFetch uses familiar core endpoint paths, but supported marketplaces, filters, limits, and field semantics differ. Run representative requests before switching production traffic.

Planning a migration? Read the compatibility guide.