eBay Product Scraper avatar

eBay Product Scraper

Pricing

from $5.00 / 1,000 products

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eBay Product Scraper

eBay Product Scraper

Look up eBay listings by item ID or URL and export title, price, currency, images, and product URL.

Pricing

from $5.00 / 1,000 products

Rating

0.0

(0)

Developer

datacortex

datacortex

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

20 hours ago

Last modified

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Look up any eBay listing by item ID or URL and export title, price, currency, images, and product URL. One dataset row per listing — ready for CSV, Excel, or JSON.

Built for Apify Console, API, MCP agents, and integrations (Make, Zapier, n8n). This Actor reads product-detail pages. It does not search eBay or pull sold-listing history.

What you get

FieldExample
titleAdidas Women's NMD_R1 Sneakers…
productId197666598752
urlhttps://www.ebay.com/itm/197666598752
imageUrlhttps://i.ebayimg.com/images/g/…/s-l500.jpg
priceincluded when the listing page exposes it
currencyincluded when the listing page exposes it

Each input is one listing. That is not the same product as a search scraper, which returns many listings per keyword.

Sample output

Live row from item ID 197666598752 (ebay.com):

{
"input": "197666598752",
"type": "product",
"productId": "197666598752",
"url": "https://www.ebay.com/itm/197666598752",
"title": "Adidas Women's NMD_R1 Sneakers - IG8338 - Beige/White - US Sizes",
"imageUrl": "https://i.ebayimg.com/images/g/hvAAAeSw9-RotybZ/s-l500.jpg",
"images": [
"https://i.ebayimg.com/images/g/hvAAAeSw9-RotybZ/s-l500.jpg"
],
"domain": "com"
}

How to run

  1. Open the Actor in Apify Console.
  2. Paste item IDs or ebay.*/itm/… URLs, one per line.
  3. Optional: marketplace, max results.
  4. Click Start. Open the Output tab when the run finishes.

Example input

{
"productIds": [
"197666598752",
"https://www.ebay.com/itm/197666598752"
],
"domain": "com",
"maxResults": 10
}

Duplicate IDs (including the same listing as ID and URL) are fetched once.

API

curl -X POST "https://api.apify.com/v2/acts/datacortex~ebay-product-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"productIds":["197666598752"],"domain":"com"}'

Replace YOUR_TOKEN with an Apify API token.

Use with MCP / agents

This is a normal Apify Actor. Agents call it through Apify MCP — you do not run a separate MCP process.

Pin this Actor as a tool (after it is public):

{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=datacortex/ebay-product-scraper"
}
}
}

The agent should fetch-actor-details on datacortex/ebay-product-scraper, then run it with the same JSON as Example input above. Running Actors requires an Apify token (OAuth in the client, or Authorization: Bearer <APIFY_TOKEN>).

Pricing

$5.00 per 1,000 products + $0.001 per run.

Each input is one lookup and one dataset row. That is not the same product as a search scraper ($0.50 / 1,000), which returns many rows per query.

EventWhen it firesPrice
apify-actor-startOnce when the run starts$0.001
apify-default-dataset-itemOnce per dataset row (one product)$0.005 ($5.00 / 1,000)
JobRowsYou pay
1 product1$0.001 + $0.005 = $0.006
10 products10$0.001 + $0.050 = $0.051
100 products100$0.001 + $0.500 = $0.501
1,000 products1,000$0.001 + $5.000 = $5.001

Set a max total charge per run so a long list cannot overrun budget. The Actor stops when that limit is reached.

Input reference

FieldRequiredDefaultNotes
productIdsyesIDs or URLs, max 1,000, duplicates skipped
domainnocomcom, co.uk, de, ca, com.au
maxResultsnoallHard cap across the list

Limitations

  • Product-detail pages only. This Actor does not search eBay or download sold-listing history.
  • Title, URL, item ID, and images come from the listing page. price and currency are included when the page exposes them; some listings only hydrate price in the browser.
  • Unavailable or unparseable listings return an error row.
  • Failed lookups write one type: "error" row so you can see which ID failed.

Local development

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
apify run --input-file=apify_input.json --purge

Changelog

See CHANGELOG.md.