Back Market Scraper [$0.95/1K] | Refurbished avatar

Back Market Scraper [$0.95/1K] | Refurbished

Pricing

from $0.92 / 1,000 results

Go to Apify Store
Back Market Scraper [$0.95/1K] | Refurbished

Back Market Scraper [$0.95/1K] | Refurbished

Collect refurbished electronics from Back Market across the US, UK, France, Germany and Spain. Get prices, grades, discounts versus new, seller IDs, ratings, stock, warranty, specs and product links for price tracking and arbitrage research.

Pricing

from $0.92 / 1,000 results

Rating

0.0

(0)

Developer

Ahmed Jasarevic

Ahmed Jasarevic

Maintained by Community

Actor stats

0

Bookmarked

8

Total users

4

Monthly active users

8 days ago

Last modified

Categories

Share

Back Market Scraper - Refurbished Prices, Grades & Stock

Turn Back Market searches and product URLs into refurbished electronics data.

How It Works

Back Market Scraper workflow: from refurbished product searches to price, grade, stock and warranty records

Looking for a Back Market scraper or a practical Back Market API alternative? Search by product or start from a deal, category or product URL across the US, UK, France, Germany and Spain. Each row includes price, new-price comparison, discount percentage, condition grade, product type, stock, seller ID, warranty, rating, specs and product link.

Use the dataset for refurbished price tracking, resale arbitrage, catalog enrichment and market research. Export as JSON, CSV or Excel, or pull results through the Apify API. Pay from $0.95 per 1,000 products.

What You Get

  • Price, new-price comparison and discount percentage
  • Condition grade, product type and available stock
  • Brand, category, model and specifications
  • Seller ID, warranty and review signals
  • Image, product URL and market locale

Input

FieldTypeDefaultDescription
searchQueriesarray-Search terms such as iphone 14 or macbook pro.
startUrlsarray-Back Market homepage, deals, category or product URLs.
localestringen-usMarket locale such as en-us, fr-fr, de-de, en-gb or es-es.
maxPagesPerQueryinteger3Maximum search result pages per query.
maxProductsinteger100Maximum products to collect. Zero means unlimited.
scrapeProductDetailsbooleanfalseFollow product URLs for specs, descriptions and additional images.
proxyConfigurationobject-Optional proxy configuration for the run.

Example Input

{
"searchQueries": [
"ipad"
],
"locale": "en-us",
"maxPagesPerQuery": 1,
"maxProducts": 20,
"scrapeProductDetails": true
}

Output

One dataset item per record.

FieldDescription
title, brand, category, modelProduct identity.
price, priceNew, discountPercent, priceCurrencyPricing and savings.
grade, productType, availableStockCondition and availability.
warrantyMonths, sellerIdWarranty and seller.
reviewAverage, reviewCountRating signals.
imageUrl, productUrl, localeMedia and market.
specifications, descriptionOptional detail fields.

Example Output

{
"title": "iPad mini 6 (2021, A15 series)",
"brand": "apple",
"category": "iPad",
"grade": "Fair",
"price": "345",
"priceCurrency": "USD",
"priceNew": "649.00",
"discountPercent": 47,
"availableStock": 3,
"warrantyMonths": 12,
"reviewAverage": 4.36
}

Pricing

VolumeCost
1 product$0.00095
1,000 products$0.95
10,000 products$9.50

Each product is billed as one result. The standard Actor start charge is $0.0005 per run.

Integrations

  • Export the dataset as JSON, CSV or Excel from Apify.
  • Pull results through the Apify API.
  • Schedule repeat runs for monitoring and change tracking.
  • Connect webhooks to Slack, Google Sheets, Make, Zapier, n8n or your own workflow.

FAQ

Which markets are supported?

The US, UK, France, Germany and Spain. Set locale to the matching market.

What does the condition grade mean?

Grade is the public condition label such as Fair, Good, Excellent or Premium.

Can I compare with the new price?

Yes. priceNew and discountPercent are included when the source publishes them.

This Actor collects publicly available information. It is not affiliated with, endorsed by or sponsored by the data source. Users are responsible for complying with applicable terms, privacy laws and data-protection regulations.