♻️ Back Market Scraper

🚀 Export Back Market refurbished electronics listings in seconds. Search by keyword, filter by condition and price, and get structured data on prices, grades, ratings, warranties and more - no account required.

🕒 Last updated: 2026-05-21 · 📊 19 fields per record · Up to 1,000,000 listings · US marketplace (en-us)

The Back Market Scraper extracts real-time product data from Back Market's refurbished electronics marketplace. It uses Back Market's internal search API to retrieve listings for any keyword - iPhones, Samsung phones, MacBooks, laptops, tablets, cameras, and any other refurbished electronics. Each record includes pricing, discount vs. original retail price, Back Market condition grade, seller rating, warranty duration, and product category.

Dataset provenance: All data is scraped directly from Back Market's live search index in real-time. No cached or static datasets. Every run reflects current listings and pricing.

Back Market lists millions of certified refurbished devices across smartphones, computers, audio equipment, and more. This scraper covers the full US catalog searchable by keyword, with optional filters for condition grade, price range, and sort order.

🎯 Target Audience	💡 Primary Use Cases
Price comparison services	Monitor refurbished vs new pricing
Consumer electronics retailers	Track competitor pricing and availability
Data journalists	Research the refurbished device market
Personal finance tools	Find cheapest certified refurbished devices
Market researchers	Analyze refurbished electronics demand
Deal aggregators	Curate best-value refurbished deals

📋 What the Back Market Scraper does

• Searches Back Market by any keyword (brand, model, category)
• Returns real-time listings with current prices and discounts
• Includes Back Market's condition grades (Fair, Good, Excellent)
• Captures seller ratings, review counts, and warranty terms
• Supports price range filtering and multiple sort orders
• Paginates automatically to collect up to 1,000,000 items
• Runs in under 30 seconds for most searches

💡 Why it matters: Back Market is one of the world's largest certified refurbished marketplaces. Tracking pricing and availability data enables smarter purchasing decisions, competitive intelligence, and market trend analysis for the growing secondary electronics market.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Field	Type	Required	Default	Description
searchQuery	String	Yes	iphone 13	Keyword to search for
maxItems	Integer	No	10	Maximum items to return
sortBy	Select	No	best_sales	Sort order (best_sales, price_asc, price_desc)
minPrice	Integer	No	-	Minimum price filter (USD)
maxPrice	Integer	No	-	Maximum price filter (USD)
condition	Select	No	All	Condition filter (Excellent, Good, Fair)

Example - Basic search:

{
  "searchQuery": "iphone 13",
  "maxItems": 50
}

Example - Filtered search:

{
  "searchQuery": "macbook pro",
  "maxItems": 100,
  "sortBy": "price_asc",
  "minPrice": 200,
  "maxPrice": 800,
  "condition": "Good"
}

⚠️ Good to Know: Free users are automatically limited to 10 items per run. Upgrade to a paid plan to unlock up to 1,000,000 items. The maxItems field is never required - omit it to collect all available results (paid users only).

📊 Output

Each item in the dataset contains 19 fields:

Field	Type	Description
🖼 imageUrl	String	Product image URL
📌 title	String	Full product title
🏷 brand	String	Brand name (lowercase)
🔗 url	String	Product listing URL with grade param
🆔 id	String	Unique product UUID
💰 price	Number	Current refurbished price (USD)
💱 currency	String	Currency code (USD)
🏷 originalPrice	Number	Original new retail price
📉 discount	Number	Discount percentage vs original price
✅ condition	String	Always "Refurbished"
⭐ grade	String	Back Market grade (Fair, Good, Excellent)
⭐ rating	Number	Seller rating (out of 5)
💬 reviewCount	Integer	Number of seller reviews
🏪 seller	String	Merchant ID
🛡 warranty	String	Warranty duration (e.g. "12 months")
📂 category	String	Product category (e.g. Smartphones)
📁 subcategory	String	Product model/subcategory
🕒 scrapedAt	String	ISO timestamp
❌ error	String	Error message (null if successful)

Sample records (real data from live run):

[
  {
    "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/fb844a75-3143-49ea-aced-7f426a9bd57f-1_cdcc8fe9-5600-4bb8-a751-e1d1eb0bd97b.jpg",
    "title": "iPhone 13 128GB - Blue - Unlocked",
    "brand": "apple",
    "url": "https://www.backmarket.com/en-us/p/iphone-13-128-gb-blue-fully-unlocked-gsm-cdma/fb844a75-3143-49ea-aced-7f426a9bd57f?l=12",
    "id": "fb844a75-3143-49ea-aced-7f426a9bd57f",
    "price": 232,
    "currency": "USD",
    "originalPrice": 629,
    "discount": 63,
    "condition": "Refurbished",
    "grade": "Fair",
    "rating": 4.38,
    "reviewCount": 5726,
    "seller": "1592",
    "warranty": "12 months",
    "category": "Smartphones",
    "subcategory": "iphone 13",
    "scrapedAt": "2026-05-22T01:05:29.009Z",
    "error": null
  },
  {
    "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/94222415-fcc0-4c03-99df-4edc011178f0-1_76a4cd2c-b116-4149-a8a6-59fad26ce8ba.jpg",
    "title": "iPhone 13 mini 128GB - Blue - Unlocked",
    "brand": "apple",
    "url": "https://www.backmarket.com/en-us/p/iphone-13-128-gb-blue-fully-unlocked-gsm-cdma/94222415-fcc0-4c03-99df-4edc011178f0?l=11",
    "id": "94222415-fcc0-4c03-99df-4edc011178f0",
    "price": 228.44,
    "currency": "USD",
    "originalPrice": 629,
    "discount": 64,
    "condition": "Refurbished",
    "grade": "Good",
    "rating": 4.24,
    "reviewCount": 2278,
    "seller": "1720",
    "warranty": "12 months",
    "category": "Smartphones",
    "subcategory": "iphone 13 mini",
    "scrapedAt": "2026-05-22T01:05:29.009Z",
    "error": null
  },
  {
    "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/094b7262-78cb-4826-938e-c3ba597fc8e6-1_6120087c-c1df-4e70-8590-797163fcf4ef.jpg",
    "title": "iPhone 13 Pro 128GB - Graphite - Unlocked",
    "brand": "apple",
    "url": "https://www.backmarket.com/en-us/p/iphone-13-pro-128-gb-graphite-fully-unlocked-gsm-cdma/094b7262-78cb-4826-938e-c3ba597fc8e6?l=11",
    "id": "094b7262-78cb-4826-938e-c3ba597fc8e6",
    "price": 335,
    "currency": "USD",
    "originalPrice": 899,
    "discount": 63,
    "condition": "Refurbished",
    "grade": "Good",
    "rating": 4.29,
    "reviewCount": 2452,
    "seller": "8646",
    "warranty": "12 months",
    "category": "Smartphones",
    "subcategory": "iphone 13 pro",
    "scrapedAt": "2026-05-22T01:05:29.009Z",
    "error": null
  }
]

✨ Why choose this Actor

• ⚡ Fast - Returns results in under 30 seconds for most searches
• 🔄 Real-time - Live data from Back Market's search index, not cached
• 📊 Complete - 19 fields including discount %, grade, warranty, and rating
• 🔍 Flexible - Search any keyword, filter by price and condition
• 🛡 Reliable - Uses Back Market's internal API - no HTML parsing fragility
• 💸 Cost-effective - Pay-per-event pricing means you pay only for what you collect
• 🌐 No login needed - Scrapes publicly available listing data

📈 How it compares to alternatives

Feature	This Actor	Manual Browsing	Generic Scrapers
Speed	Under 30s	Hours	Variable
Data structure	Structured JSON	Manual entry	Unreliable
Discount calculation	Auto-calculated	Manual	Rarely included
Grade/condition	Extracted	Manual	Often missed
Scale	Up to 1M items	Impractical	Limited
Maintenance	Actively maintained	N/A	Breaks often

🚀 How to use

1. Create a free account w/ $5 credit on Apify
2. Go to the Back Market Scraper page
3. Click Try for free
4. Enter your search query (e.g. "iphone 14 pro", "samsung galaxy s23", "macbook air")
5. Set optional filters and click Start - results are ready in seconds

💼 Business use cases

Price Intelligence

Monitor Back Market pricing for competitive intelligence. Track how refurbished prices fluctuate relative to new device launches. Build dashboards showing price trends for specific models across condition grades.

Deal Aggregation

Power a deal-finding platform with real-time Back Market data. Surface the highest-discount items, filter by grade for quality, and notify users when prices drop below thresholds. The discount field makes it trivial to find the best deals.

Market Research

Analyze the refurbished electronics market at scale. Which brands have the most listings? What's the average discount by category? How does warranty coverage vary? Answer these questions with structured data from thousands of listings.

Consumer Finance Tools

Help users decide between buying new vs. refurbished. Integrate Back Market pricing into personal finance apps, comparison tools, and budget calculators. The originalPrice vs price fields make this straightforward.

🔌 Automating Back Market Scraper

Automate this actor using Apify integrations:

• Make (Integromat) - Schedule daily price monitoring runs and push results to Google Sheets
• Zapier - Trigger workflows when new listings appear below a target price
• Slack - Get notified with top deals for your saved searches
• Google Sheets - Automatically populate and refresh pricing spreadsheets
• Webhooks - Stream results to any custom endpoint or data pipeline

🌟 Beyond business use cases

Personal Shopping

Never overpay for a refurbished device. Run a search before purchasing to ensure you're getting the best price across condition grades and sellers.

Academic Research

Study the secondary electronics market, pricing dynamics, and consumer behavior patterns in the refurbished goods economy.

Sustainability Analytics

Track the volume and pricing of refurbished electronics as a proxy for circular economy adoption and e-waste reduction trends.

Developer Experimentation

Use real product data as a dataset for testing recommendation algorithms, price prediction models, or NLP experiments on product titles.

🤖 Ask an AI assistant about this scraper

You can ask an AI assistant like Claude or ChatGPT to help you use this scraper. Try:

• "How do I filter Back Market listings under $300 in Good condition?"
• "What fields does the Back Market Scraper return?"
• "Write a Python script to analyze the discount field from Back Market data"
• "How do I schedule this actor to run daily and export to Google Sheets?"

❓ Frequently Asked Questions

Q: Does this require a Back Market account? A: No. The scraper collects publicly available listing data without any login.

Q: How current is the pricing data? A: Data is fetched in real-time from Back Market's search index at the moment you run the actor. Prices reflect live availability.

Q: What's the difference between condition and grade? A: condition is always "Refurbished" (Back Market's product type). grade is Back Market's quality tier: Fair, Good, or Excellent.

Q: How many items can I collect? A: Free users: up to 10 items per run. Paid users: up to 1,000,000 items.

Q: Can I search for any product category? A: Yes - use any keyword that works on Back Market's search page: phones, laptops, tablets, cameras, headphones, gaming consoles, etc.

Q: How do I filter by price range? A: Use the minPrice and maxPrice input fields (values in USD).

Q: Can I sort by price? A: Yes - set sortBy to price_asc for cheapest first or price_desc for most expensive first.

Q: What does the discount field represent? A: It's the percentage savings vs. the originalPrice (original new retail price). Calculated as round((1 - price/originalPrice) * 100).

Q: Is the seller ID useful? A: The seller field contains the merchant ID. You can use it to group listings by seller or filter to specific sellers you trust.

Q: What's the warranty field format? A: It's a human-readable string like "12 months". Back Market guarantees a minimum 1-year warranty on all listings.

Q: How fast does it run? A: Most searches complete in under 30 seconds. Large collections (10,000+ items) may take a few minutes.

Q: Does it handle pagination automatically? A: Yes. The actor paginates through all result pages up to your maxItems limit.

🔌 Integrate with any app

Export results as JSON, CSV, Excel, XML, or RSS from Apify's dataset viewer. Integrate via:

• REST API - Access datasets programmatically
• Webhooks - Trigger external workflows on run completion
• Apify Scheduler - Run on a cron schedule
• Make / Zapier - No-code automation
• Google Sheets - Built-in export integration
• Slack / Discord - Notification integrations
• BigQuery / Snowflake - Data warehouse connectors

🔗 Recommended Actors

Actor	Description
Depop Scraper	Scrape secondhand fashion listings from Depop
Vinted Scraper	Extract pre-owned clothing data from Vinted
eBay Scraper	Scrape eBay listings for price comparison

💡 Pro Tip: browse the complete ParseForge collection for scrapers covering 100+ marketplaces and data sources.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or connected to Back Market in any way. Only publicly available data that any visitor can see in their browser is collected. Use responsibly and in accordance with Back Market's terms of service.