eBay Item, Store & Store Category Detail Extractor

What it returns

73 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• recordTypeRecord kind: item, store (empty store fallback) or storeCategory (empty category fallback)
• urlDirect URL to the eBay item listing
• ideBay item ID number
• itemIdeBay item ID number (numeric companion to id)
• titleFull product title
• priceCurrent price in this actor's historical format (for example 'US $384.92')
• priceValueNumeric current price
• priceCurrencyISO currency code for priceValue
• originalPriceOriginal price before discount, omitted when not discounted
• wasPriceStruck-through comparison price as shown on the page
• wasPriceValueNumeric comparison price
• discountPercentDiscount percentage when a comparison price is shown
• conditionItem condition: New, Used, Refurbished, For parts or not working, etc.
• conditionDescriptionLonger condition explanation shown on the listing
• brandProduct brand
• modelProduct model
• mpnManufacturer part number
• gtinGTIN, EAN, UPC or ISBN when present
• colorItem colour
• availabilityStock availability text
• sellerSeller display name
• sellerFeedbackScoreSeller total feedback count as text (historical field)
• sellerFeedbackCountSeller total feedback count as a number
• sellerFeedbackPercentSeller positive feedback percentage
• sellerUrlURL to the seller's eBay store
• sellerStoreUrlURL to the seller's eBay store
• sellerNotesSeller's condition notes
• availableQuantityNumber of items in stock as text (historical field)
• quantityAvailableNumber of items in stock as a number
• soldCountNumber of units sold as text (historical field)

How it differs from the other eBay Actors

Among the 4 catalogue Actors for eBay with a published schema, only this one returns id, itemId, discountPercent, availability, watcherCount, shippingCurrency, listingStartDate, startTime.

Pick another Actor if you need

Input

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "itemIds": [],
  "storeNames": [],
  "storeCategoryUrls": [],
  "searchQueries": [
    "laptop"
  ],
  "startUrls": [],
  "marketplace": "https://www.ebay.com",
  "sortBy": "bestMatch",
  "freeShipping": false,
  "returnsAccepted": false,
  "maxItems": 2,
  "maxPages": 1,
  "includeItemDetails": true,
  "includeItemSpecifics": true
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "itemIds": [],
    "storeNames": [],
    "storeCategoryUrls": [],
    "searchQueries": [
        "laptop"
    ],
    "startUrls": [],
    "marketplace": "https://www.ebay.com",
    "sortBy": "bestMatch",
    "freeShipping": False,
    "returnsAccepted": False,
    "maxItems": 2,
    "maxPages": 1,
    "includeItemDetails": True,
    "includeItemSpecifics": True
}

run = client.actor("vexaloom-labs/ebay-item-store-and-store-category-detail").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "itemIds": [],
    "storeNames": [],
    "storeCategoryUrls": [],
    "searchQueries": [
        "laptop"
    ],
    "startUrls": [],
    "marketplace": "https://www.ebay.com",
    "sortBy": "bestMatch",
    "freeShipping": false,
    "returnsAccepted": false,
    "maxItems": 2,
    "maxPages": 1,
    "includeItemDetails": true,
    "includeItemSpecifics": true
};

const run = await client.actor("vexaloom-labs/ebay-item-store-and-store-category-detail").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~ebay-item-store-and-store-category-detail/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","itemIds":[],"storeNames":[],"storeCategoryUrls":[],"searchQueries":["laptop"],"startUrls":[],"marketplace":"https://www.ebay.com","sortBy":"bestMatch","freeShipping":false,"returnsAccepted":false,"maxItems":2,"maxPages":1,"includeItemDetails":true,"includeItemSpecifics":true}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/ebay-item-store-and-store-category-detail",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among eBay routes

It ranks 1 of 4 catalogue Actors for eBay on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• Collect item details
• Research store inventory

Other catalogue Actors for eBay

Similar Actors

Questions people ask

Sources

• eBay Item, Store & Store Category Detail Extractor on Apify Store
• Published build with input and output schema (JSON)
• eBay Browse API documentation