Back Market Scraper — Refurbished Electronics Prices, Grades & Discounts (US · FR · DE · UK · ES)

Scrape refurbished electronics from Back Market — the world's largest certified refurbished marketplace — across 5 markets (US, France, Germany, UK, Spain) for refurbished iPhone/MacBook/Samsung price tracking, resale arbitrage and market research. Every dataset record includes price vs new, discount %, condition grade, seller rating, stock and warranty.

Main Use Cases

• Refurbished iPhone price tracking — monitor price drops and grade availability for any model, on a schedule
• Resale arbitrage — spot underpriced refurbished devices and cross-market price gaps between US, FR, DE, UK and ES
• Repricing feeds — deliver clean, structured pricing data to repricing and dynamic-pricing engines
• Market research — analyze refurbished pricing tiers by grade (Fair/Good/Excellent/Premium) per model and market
• Deal & discount monitoring — track flash sales and good-deals pages for bargain leads
• E-commerce competitive intelligence — benchmark your own refurbished inventory against Back Market pricing

How It Works

Back Market is a Nuxt 3 (Vue) app whose homepage and deals pages embed the full product state in a __NUXT_DATA__ JSON script tag. The actor uses a two-phase hybrid strategy:

1. Phase 1 — CheerioCrawler (reliable & cheap): fetches the homepage, /e/good-deals and /e/black-friday via plain HTTP, parses the embedded JSON and extracts ~190 products per market. No browser, always works.
2. Phase 2 — PlaywrightCrawler (best-effort search): search queries are loaded in a real Chrome browser and the Algolia search XHR is intercepted. Back Market's search pages sit behind Cloudflare bot management, so this phase is best-effort and may fail intermittently even with residential proxies.

The default run (no search queries) is the fast, reliable path — roughly 190 products per market for a fraction of a compute unit.

Track Refurbished Phone Prices Without an Official API

Back Market exposes no public listings API — its internal Algolia search endpoint is Cloudflare-protected and returns 403 to non-browser traffic. This actor is the working Back Market API alternative: reliable data from the __NUXT_DATA__ payload, or best-effort keyword search via a real browser.

Find Refurbished Deals & Arbitrage Opportunities

The deals pages (good-deals, black-friday) surface discounted listings with computed discountPercent vs new price. Scrape all 5 markets with different locale values and compare pricing by grade to find cross-border arbitrage and undervalued stock.

Input

Configure from the Input tab. Leave searchQueries empty for the reliable deals crawl.

Field	Type	Required	Default	Notes
searchQueries	string[]	No	[]	Keyword searches (e.g. iphone 15, macbook pro). Resolved over HTTP via Back Market's Algolia index. Leave empty for the reliable homepage + deals crawl (~190 products).
startUrls	string[]	No	[]	Direct Back Market URLs (homepage, deals, category, product).
locale	string (enum)	No	en-us	Market: en-us, fr-fr, de-de, en-gb, es-es.
maxPagesPerQuery	integer	No	3	Max search result pages per query.
maxProducts	integer	No	100	Max total products extracted (0 = unlimited).
scrapeProductDetails	boolean	No	false	Follow product URLs for detailed specs (slower).
proxyConfiguration	object	No	{"useApifyProxy": true}	Apify proxy. Search/category/product pages are Cloudflare-protected.

Output

Each dataset item is one product listing:

{
  "title": "iPhone 17 Pro • Unlocked",
  "description": "Cosmic Orange • 256 GB • eSIM",
  "brand": "apple",
  "category": "Smartphones",
  "model": "iphone 17 pro",
  "grade": "Premium",
  "productType": "Refurbished",
  "price": "993",
  "priceCurrency": "USD",
  "priceNew": "1099.00",
  "discountPercent": 10,
  "reviewCount": 79,
  "reviewAverage": 4.47,
  "availableStock": 11,
  "warrantyMonths": 12,
  "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/...",
  "productUrl": "https://www.backmarket.com/en-us/p/iphone-17-pro-256-gb-cosmic-orange-unlocked/...",
  "sellerId": "10131",
  "specifications": [{ "label": "color", "values": ["Cosmic Orange", "Deep Blue", "Silver"] }],
  "deals": [{ "type": "seller_flash_sales", "percentage": { "value": 6 } }],
  "marketingTags": [],
  "listingId": "3201529",
  "listingPublicId": "...",
  "sourceUrl": "https://www.backmarket.com/en-us",
  "locale": "en-us",
  "scrapedAt": "2026-09-10T09:30:00.000Z"
}

Field reference:

Field	Description
title, description	Product name and short description
brand, category, model	Clean brand, category and model
grade	Refurbished grade (Fair / Good / Excellent / Premium)
productType	Always Refurbished
price, priceCurrency	Current price and currency
priceNew	Price of the same product new
discountPercent	Computed savings vs new price
reviewCount, reviewAverage	Review volume and average rating
availableStock	Units in stock
warrantyMonths	Warranty duration in months
imageUrl, productUrl	Image and product page URL
sellerId, specifications, deals, marketingTags	Seller, specs, active deals and campaign tags
locale, sourceUrl, scrapedAt	Market, source page and timestamp

Example Input

{
  "searchQueries": [],
  "locale": "en-us",
  "maxProducts": 100,
  "scrapeProductDetails": false,
  "proxyConfiguration": { "useApifyProxy": true }
}

Or search-specific models:

{
  "searchQueries": ["iphone 15", "macbook pro"],
  "locale": "fr-fr",
  "maxPagesPerQuery": 2,
  "maxProducts": 80
}

Cost

Billed at $0.00095 per product record, plus a small per-GB start fee. A full ~190-product deals crawl costs roughly $0.18 in result fees. Search scraping uses a browser and is more expensive per record; free-tier users get a capped preview of 10 items per run.

Integrations & Automation

• Apify API — trigger price pulls programmatically
• Scheduling — run daily for price-drop monitoring on specific models; weekly for market snapshots
• Zapier / Make / webhooks — push prices into Sheets, repricing engines, Slack alerts or your own pricing DB
• Recurring runs also improve Apify Store recommendation signals

Related Actors

• Backmarket Scraper Ppr — Back Market across 14 countries with browse mode (largest Back Market actor)
• Back Market Listings Scraper — listings + full product-detail enrichment
• Back Market Products Scraper — keyword search over the US catalog
• iPhone 15 Pro eBay Sold Price Tracker — actual sold prices on eBay for the same refurbished/resale market
• Zalando Fashion Price Tracker — same price-tracking workflow on fashion retail

FAQ

Why use this actor instead of the official Back Market API?

Back Market has no public listings API. Its internal Algolia search endpoint is Cloudflare-protected (403 for non-browser traffic). This actor reads the __NUXT_DATA__ JSON served on public pages — a reliable Back Market API alternative.

Why do search queries sometimes return nothing?

Search pages sit behind Cloudflare bot management. Even with a real browser and residential proxies, search scraping is best-effort and may fail intermittently — retry the run. The homepage + deals crawl (empty searchQueries) is always reliable.

What are alternatives to this actor / other refurbished data sources?

• Backmarket Scraper Ppr (14 countries) and the piotrv1001/parseforge actors on the Apify Store
• Other refurbished marketplaces: Refurbed, AsGoodAsNew, Recommerce, eBay Refurbished
• Parse.bot's commercial Back Market REST API for managed access

How do I track price drops over time?

Schedule daily runs per model (e.g. searchQueries: ["iphone 15 pro"]) and compare price / discountPercent against earlier datasets. The homepage + deals crawl tracks flash-sale and good-deal listings.

How many products does a default run return?

~190 products per market from the homepage + deals pages. Run once per locale for cross-market data.

How much does it cost?

$0.00095 per product record. A 1K-record run costs $0.95 (plus compute); see the pricing page for the full table.

Competitive Positioning

Verified against competing Back Market actors on the Apify Store:

Capability	Competitors	This actor
Price per result	$0.00233 (silentflow), $0.002 (piotrv1001), $0.02033 (parseforge), $0.0019 (solidcode FR)	$0.00095 — lowest in cluster
Markets covered	14 countries (silentflow) or France-only (solidcode)	✅ 5 core markets: US, FR, DE, UK, ES
Reliable no-search crawl	Most require search	✅ Homepage + deals __NUXT_DATA__ (always works, ~190 products/market)
Computed discount vs new	Partial (some omit priceNew/discountPercent)	✅ priceNew + discountPercent on every row

For AI Agents & LLM Apps

Purpose: Returns one structured JSON record per Back Market refurbished product — price, price-new, discount %, grade, ratings, stock, warranty and market — for price tracking, arbitrage and market research.

Minimal working input (reliable deals crawl):

{
  "locale": "en-us",
  "maxProducts": 50,
  "scrapeProductDetails": false
}

Variant — model search:

{ "searchQueries": ["iphone 15 pro"], "locale": "de-de", "maxPagesPerQuery": 1, "maxProducts": 30 }

Output fields: title, description, brand, category, model, grade, productType, price, priceCurrency, priceNew, discountPercent, reviewCount, reviewAverage, availableStock, warrantyMonths, imageUrl, productUrl, sellerId, specifications, deals, marketingTags, listingId, listingPublicId, sourceUrl, locale, scrapedAt

Behaviors an agent should know:

• Empty searchQueries → the reliable HTTP crawl (homepage + deals, ~190 products/market). Search queries → browser-based, best-effort (may fail on Cloudflare; retry helps)
• maxProducts: 0 means unlimited — set a value to bound cost
• scrapeProductDetails: true visits every product page (slower, more billed surface)
• price and priceNew are strings (e.g. "993", "1099.00"); discountPercent and ratings are numbers
• One query per keyword; run multiple locale values for cross-market arbitrage comparisons

Billing: pay-per-result — $0.00095 per dataset record, plus a small per-GB start fee.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Back Market (Commown SAS). It accesses only publicly available pages — no login bypass, no CAPTCHA solving. Search/category/product pages are Cloudflare-protected and the actor does not circumvent that protection on non-public data; deployments must respect Back Market's Terms of Service, robots.txt and applicable law (including GDPR/CCPA where personal or EU data is involved). Users are responsible for their own compliance.

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