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eBay Sold Comps - Resale Comp Intelligence

Pricing

$0.25 / resale analysis

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eBay Sold Comps - Resale Comp Intelligence

eBay Sold Comps - Resale Comp Intelligence

Analyze recent eBay sold listings for resale research. Get price ranges, comparable-listing evidence and optional profit scenarios. $0.25 per analysis plus source fees up to $0.10.

Pricing

$0.25 / resale analysis

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AI-HUB

AI-HUB

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3 days ago

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Resale Comp Intelligence

Turn a focused item search into a compact resale analysis backed by recent eBay.com sold-listing records. Get price percentiles, a sample sales pace, optional estimated resale profit, and up to 12 supporting comps.

Example input

{
"query": "Sony WH-1000XM5",
"count": 20,
"daysToScrape": 30,
"itemCondition": "used",
"buyPrice": 120,
"estimatedFeePct": 13.5,
"estimatedOutboundShipping": 12,
"excludeBestOffer": true
}

Use the brand and exact model. Choose 5–20 comps and a 1–90 day lookback. For a valid analysis, at least five comparable listings must survive filtering. Buy price and outbound shipping are in USD. Omit buy price to omit profit estimates.

Results

One dataset row contains price minimum, 25th percentile, median, mean, 75th percentile and maximum; heuristic fast-sale/list targets; sample sales pace; estimated fees, net profit and ROI when a buy price is supplied; and source run/dataset IDs with listing evidence.

The fast-sale target is 97% of the median and the listing target is the 75th percentile. These are transparent heuristics, not validated predictions. Sample sales pace is calculated only from dated records in the capped sample; it is not total market sales or sell-through rate.

Read the evidence quality first

The quality section accounts for all received records: retained listings plus exclusions for invalid records, unsold items, currency, duplicates, missing prices, relevance, product identity, multi-item lots, accessories/defects, Best Offers and outliers. Each excluded record has one reason, assigned in that order. Counts describe this sample only.

It also shows the oldest/newest usable sale dates and flags missing shipping costs, missing sale currencies and missing dates. Fewer than ten usable comps triggers a small-sample warning. If Best Offers are explicitly included, the result warns that their asking prices are not the undisclosed accepted prices. reviewRecommended is a rule-based warning flag, not a confidence score or guarantee; even an unflagged sample can contain imperfect matches.

Example: an offline replay of a historical 20-record source sample retained 12 comps after excluding three Best Offers, two accessories and three WH-1000XM5SA suffix variants from a WH-1000XM5 query, with a $159.44 median and two unknown shipping costs. Sony describes the SA edition as a soft-case variant; the matcher conservatively keeps exact identifiers separate. The earlier looser method retained 15 at $155.76. Neither number is a live quote or independently verified valuation. Check the source listings and quality warnings before applying any pricing estimate.

Price and limits

The price is $0.25 per successful analysis, with no additional start or dataset-item fee for this Actor.

This Actor also runs eBay Sold Listings Search using the run's Apify account. Upstream charges are separate, capped at $0.10 per upstream run, and may apply even when fewer than five usable comps are found. Budget for up to $0.35 in combined event charges; the parent run limit does not serve as a shared parent-and-child budget. This Actor makes one upstream request, asks for at most 20 results, imposes a 180-second upstream timeout, and disables automatic upstream retries.

As checked on 2026-09-21, the source's highest tier price is $0.004/result plus $0.00005 per GB on start. With the 2 GB source run, 20 results cost approximately $0.08010. Prices can change: runtime checks refuse unreviewed pricing models, extra events, higher costs or broader permissions.

No analysis fee is charged for failed upstream runs or fewer than five usable comps. The result is saved before the analysis charge. If saving fails, the analysis charge is not attempted. Missing/incorrect monetization settings prevent upstream work entirely.

Method and limitations

  • Best Offer accepted listings are excluded by default because accepted prices may not be disclosed.
  • Explicitly unsold records, duplicate listing IDs/URLs and non-USD records are excluded.
  • Query-token overlap filters plainly unrelated titles. Numeric model/capacity labels in the query must appear in the title; common separators are tolerated. Requested variant words such as Pro or OLED must appear. Additional generation/variant checks cover iPhone, Pixel, Galaxy S and RTX titles. Missing identifiers are excluded; alternative naming and unsupported product families still need review. This is lexical matching, not a verified product catalog.
  • Explicit multi-item lots (such as "lot of 2" or "2x") are excluded unless the query requests a lot, pack, set or bundle. Other bundle/set titles trigger a warning; prices remain whole-listing totals, with no per-unit normalization.
  • Explicit replacement-part, carrying-case-for, and broken/for-parts titles are excluded for whole-item searches. Queries explicitly seeking those items retain them. This rule is conservative and does not catch every accessory or defect.
  • The 1.5×IQR rule removes price outliers when at least six records are present.
  • Source data may be incomplete or inaccurate. Prices include shipping when provided by the source.
  • Fees, taxes, shipping, demand and item condition affect actual proceeds. Profit calculations are estimates.

Permissions and operation

Limited permissions only. No account credentials or private developer token are embedded. No LLM calls, trading, wallet operations, subscription purchase or Standby mode is used. Parent memory is fixed at 256 MB. The deployment defaults to a 240-second timeout and no automatic restart.

Run locally with npm test for offline analysis and orchestration checks. Full production execution requires configured Apify monetization and a token supplied by Apify; do not place credentials in this project.

Profit scenarios

When buyPrice is supplied, economics.scenarios includes lowP25, baseMedian and highP75. Each applies your fee percentage and outbound shipping estimate to that sample percentile, reporting gross proceeds, fee, net profit, ROI and the break-even purchase price. These are scenarios, not forecasts or confidence intervals. A negative break-even price means modeled costs exceed the proceeds even at a zero acquisition cost. Taxes, labor, returns, repairs and other costs are excluded.

economics.sensitivity reports the median scenario's net change for one extra percentage point of selling fees and one extra dollar of outbound shipping. ROI is null when acquisition cost is zero. Unknown source shipping can affect every scenario; check quality.warnings first.

The offline title regression corpus contains constructed examples to catch known mistakes. Passing it does not establish accuracy across real marketplace inventory. Stricter matching can leave fewer than five usable comps; the source fee may still apply even though no analysis fee is charged.