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Back Market APIbackmarket.fr

Search refurbished electronics on Back Market France, retrieve product details with variants and pricing, and fetch customer reviews via 3 structured endpoints.

Endpoints
3
Updated
2mo ago

What is the Back Market API?

The Back Market France API covers 3 endpoints for querying the Back Market France catalog: search by keyword, fetch full product details by UUID or URL, and retrieve customer reviews. The search_products endpoint returns paginated results with price, rating, and direct product links. get_product_details exposes condition, storage, and battery variants alongside availability status and original retail price for any listed product.

Try it
Product UUID (e.g. 'a8517119-6ed0-4c6f-8799-22f95658bc19'). Either product_id or product_url must be provided.
Full Back Market product URL containing a UUID in the path (e.g. 'https://www.backmarket.fr/fr-fr/p/iphone-15/a8517119-6ed0-4c6f-8799-22f95658bc19'). Either product_id or product_url must be provided.
api.parse.bot/scraper/25ea2afe-3b30-4695-b04b-83a719b17b4d/<endpoint>
Ready to send
Fill in the parameters and hit sign in to send to see live response data here.
Call it over HTTPgrab a free API key at signup
curl -X GET 'https://api.parse.bot/scraper/25ea2afe-3b30-4695-b04b-83a719b17b4d/get_product_details?product_id=%3Cproduct_uuid%3E&product_url=https%3A%2F%2Fwww.backmarket.fr%2Ffr-fr%2Fp%2Fiphone-15%2F%3Cproduct_uuid%3E' \
  -H 'X-API-Key: $PARSE_API_KEY'
Python SDK · recommended

Typed, relational, agent-ready

A generated client with real types, enums, and the links between objects — the structure a flat JSON response can't carry. Autocompletes in your editor and reads cleanly to coding agents.

  • Fully typed · autocompletes
  • Objects link to objects
  • Typed errors & pagination

Typed Python client. Set up the SDK in your uv project, then pull this API’s typed client:

uv add parse-sdk
uv run parse init
uv run parse add --marketplace backmarket-fr-api

uv run parse add --marketplace pulls a pinned snapshot of this canonical API — it won’t change underneath you. To customize it, subscribe and swap to your own copy.

"""
Back Market Parse API Client
Get your API key from: https://parse.bot/settings
"""

import os
import requests
from typing import Optional, Any, Dict, List


class ParseClient:
    """Client for interacting with the Back Market API through Parse."""
    
    def __init__(self, api_key: Optional[str] = None):
        self.base_url = "https://api.parse.bot"
        self.scraper_id = "25ea2afe-3b30-4695-b04b-83a719b17b4d"
        self.api_key = api_key or os.getenv("PARSE_API_KEY")
        
        if not self.api_key:
            raise ValueError("API key not provided and PARSE_API_KEY not set")
    
    def _call(self, endpoint: str, method: str = "POST", **params) -> Dict[str, Any]:
        """Make API call to Parse endpoint.
        
        Args:
            endpoint: The API endpoint name
            method: HTTP method (GET or POST)
            **params: Query/body parameters
            
        Returns:
            JSON response as dictionary
        """
        url = f"{self.base_url}/scraper/{self.scraper_id}/{endpoint}"
        headers = {
            "X-API-Key": self.api_key,
            "Content-Type": "application/json"
        }
        
        if method == "GET":
            response = requests.get(url, headers=headers, params=params)
        elif method == "POST":
            response = requests.post(url, headers=headers, json=params)
        else:
            raise ValueError(f"Unsupported HTTP method: {method}")
        
        response.raise_for_status()
        return response.json()
    
    def search_products(self, query: str, page: int = 0, limit: int = 31) -> Dict[str, Any]:
        """Search for products on Back Market by keyword.
        
        Args:
            query: Search keyword (e.g., 'iPhone 15')
            page: Page number (default: 0)
            limit: Number of results per page (default: 31)
            
        Returns:
            Dictionary containing products list, total_hits, page, and nbPages
        """
        return self._call("search_products", method="GET", query=query, page=page, limit=limit)
    
    def get_product_details(self, product_url: Optional[str] = None, 
                           product_id: Optional[str] = None) -> Dict[str, Any]:
        """Extract detailed product information from a Back Market product URL or UUID.
        
        Args:
            product_url: Full Back Market product URL
            product_id: Product UUID
            
        Returns:
            Dictionary containing uuid, title, brand, model, pricing, rating, variants, etc.
        """
        params = {}
        if product_url:
            params["product_url"] = product_url
        if product_id:
            params["product_id"] = product_id
        
        if not params:
            raise ValueError("Either product_url or product_id must be provided")
        
        return self._call("get_product_details", method="GET", **params)
    
    def get_product_reviews(self, product_url: Optional[str] = None, 
                           product_id: Optional[str] = None) -> Dict[str, Any]:
        """Retrieve customer reviews for a product.
        
        Args:
            product_url: Full Back Market product page URL
            product_id: Product UUID
            
        Returns:
            Dictionary containing average_rating, review_count, reviews list, and page
        """
        params = {}
        if product_url:
            params["product_url"] = product_url
        if product_id:
            params["product_id"] = product_id
        
        if not params:
            raise ValueError("Either product_url or product_id must be provided")
        
        return self._call("get_product_reviews", method="GET", **params)


def format_price(price: Optional[float]) -> str:
    """Format price with euro symbol."""
    if price is None:
        return "N/A"
    return f"€{price:,.2f}"


def format_rating(rating: float, review_count: int) -> str:
    """Format rating with star visualization."""
    full_stars = int(rating)
    half_star = "½" if rating % 1 >= 0.5 else ""
    empty_stars = 5 - full_stars - (1 if half_star else 0)
    
    stars = "★" * full_stars + half_star + "☆" * empty_stars
    return f"{stars} {rating:.2f}/5.0 ({review_count:,} reviews)"


def display_product_summary(product: Dict[str, Any]) -> None:
    """Display a summary of a product from search results."""
    print(f"\n📱 {product.get('name', 'Unknown Product')}")
    print(f"   Brand: {product.get('brand', 'N/A')} | Model: {product.get('model', 'N/A')}")
    print(f"   Price: {format_price(product.get('price'))} ", end="")
    
    original = product.get('original_price')
    current = product.get('price', 0)
    if original and original > current:
        savings = ((original - current) / original) * 100
        print(f"(Save {savings:.0f}% from {format_price(original)})")
    else:
        print()
    
    print(f"   {format_rating(product.get('rating', 0), product.get('review_count', 0))}")


def display_detailed_analysis(product_id: str, client: ParseClient) -> None:
    """Fetch and display detailed analysis of a product."""
    try:
        # Get product details
        details = client.get_product_details(product_id=product_id)
        data = details.get('data', {})
        
        print(f"\n   📋 Product Details:")
        print(f"      • UUID: {data.get('uuid')}")
        print(f"      • Title: {data.get('title')}")
        print(f"      • Starting Price: {format_price(data.get('starting_price'))}")
        
        availability = data.get('availability', {})
        in_stock = "✓ In Stock" if availability.get('in_stock') else "✗ Out of Stock"
        can_add = "✓ Addable to Cart" if availability.get('can_add_to_cart') else "✗ Not Available"
        print(f"      • {in_stock} | {can_add}")
        
        # Display variant options
        variants = data.get('variants', [])
        if variants:
            print(f"      • Available Variants:")
            for variant in variants:
                label = variant.get('label', 'Unknown')
                items = variant.get('items', [])
                if items:
                    first_item = items[0]
                    item_label = first_item.get('label', 'N/A')
                    price_info = first_item.get('price', {})
                    price = price_info.get('amount') if isinstance(price_info, dict) else price_info
                    print(f"         - {label}: {item_label} ({format_price(float(price) if price else 0)})")
        
        # Get and display reviews
        print(f"\n   💬 Customer Reviews:")
        reviews_response = client.get_product_reviews(product_id=product_id)
        reviews_data = reviews_response.get('data', {})
        
        avg_rating = reviews_data.get('average_rating', 0)
        review_count = reviews_data.get('review_count', 0)
        reviews = reviews_data.get('reviews', [])
        
        print(f"      Average Rating: {format_rating(avg_rating, review_count)}")
        
        if reviews:
            print(f"      Top Reviews:")
            for idx, review in enumerate(reviews[:3], 1):
                rating = review.get('rating', 0)
                author = review.get('author', 'Anonymous')
                comment = review.get('comment', 'No comment')
                
                if len(comment) > 80:
                    comment = comment[:80] + "..."
                
                star_rating = "★" * rating + "☆" * (5 - rating)
                print(f"      {idx}. [{star_rating}] {author}")
                print(f"         '{comment}'")
        
    except requests.exceptions.RequestException as e:
        print(f"   ⚠️  Error fetching details: {str(e)}")
    except (KeyError, ValueError) as e:
        print(f"   ⚠️  Unexpected response format: {str(e)}")


def main():
    """Practical workflow: search for products and analyze top results with details and reviews."""
    
    client = ParseClient()
    
    print("\n" + "=" * 80)
    print("🛍️  BACK MARKET PRODUCT ANALYZER".center(80))
    print("=" * 80)
    
    # Step 1: Search for products
    search_query = "iPhone 15"
    print(f"\n🔍 Searching for '{search_query}' on Back Market France...")
    
    search_results = client.search_products(query=search_query, limit=5)
    
    if search_results.get('status') != 'success':
        print("❌ Search failed")
        return
    
    search_data = search_results.get('data', {})
    total_hits = search_data.get('total_hits', 0)
    products = search_data.get('products', [])
    total_pages = search_data.get('nbPages', 1)
    
    print(f"✓ Found {total_hits} total products across {total_pages} pages")
    print(f"✓ Analyzing top {len(products)} results...\n")
    
    # Step 2: Analyze each product - get details and reviews
    for idx, product in enumerate(products, 1):
        print("\n" + "-" * 80)
        print(f"RESULT {idx}/{len(products)}")
        print("-" * 80)
        
        display_product_summary(product)
        
        product_id = product.get('uuid')
        if product_id:
            display_detailed_analysis(product_id, client)
    
    print("\n" + "=" * 80)
    print("✓ Analysis Complete!".center(80))
    print("=" * 80 + "\n")


if __name__ == "__main__":
    main()
All endpoints · 3 totalmissing one? ·

Extract detailed product information from a Back Market product UUID. Returns pricing, brand, model, images, available variants (condition, storage, battery), and availability status.

Input
ParamTypeDescription
product_idstringProduct UUID (e.g. 'a8517119-6ed0-4c6f-8799-22f95658bc19'). Either product_id or product_url must be provided.
product_urlstringFull Back Market product URL containing a UUID in the path (e.g. 'https://www.backmarket.fr/fr-fr/p/iphone-15/a8517119-6ed0-4c6f-8799-22f95658bc19'). Either product_id or product_url must be provided.
Response
{
  "type": "object",
  "fields": {
    "uuid": "string product UUID",
    "brand": "string brand name",
    "model": "string model name",
    "title": "string product title",
    "images": "array of image URLs",
    "rating": "number average customer rating",
    "variants": "array of picker groups (condition, battery, storage options)",
    "availability": "object with in_stock and can_add_to_cart booleans",
    "review_count": "integer total number of reviews",
    "original_price": "number or null original retail price",
    "starting_price": "string or number lowest available price"
  },
  "sample": {
    "data": {
      "uuid": "a8517119-6ed0-4c6f-8799-22f95658bc19",
      "brand": "Apple",
      "model": "iPhone 15",
      "title": "iPhone 15Bleu • 128 Go • SIM physique + eSIM",
      "images": [
        "https://d2e6ccujb3mkqf.cloudfront.net/a8517119-6ed0-4c6f-8799-22f95658bc19-1_4afffbc4-dcec-45c2-a6ab-fb0b22f2d9b4.jpg"
      ],
      "rating": 4.58,
      "variants": [
        {
          "id": "grades",
          "items": [
            {
              "label": "Très bon état",
              "price": {
                "amount": "396.00",
                "currency": "EUR"
              }
            }
          ],
          "label": "État"
        }
      ],
      "availability": {
        "in_stock": false,
        "can_add_to_cart": false
      },
      "review_count": 29889,
      "original_price": null,
      "starting_price": "396.00"
    },
    "status": "success"
  }
}

About the Back Market API

Product Search

The search_products endpoint accepts a required query string (e.g. 'iPhone 15', 'MacBook Pro') and returns paginated results. Each product object in the products array includes name, uuid, brand, model, price, original_price, rating, review_count, image, and url. Pagination is 0-indexed via the page parameter, and nbPages plus total_hits let you iterate the full result set.

Product Details

get_product_details accepts either a product_id (UUID string) or a full product_url containing a UUID in the path — at least one must be provided. The response includes the product title, brand, model, an images array, aggregate rating, review_count, and original_price when available. The variants field returns an array of picker groups covering condition (e.g. Fair/Good/Excellent), storage capacity, and battery health options. The availability object exposes in_stock and can_add_to_cart booleans for the current listing state.

Customer Reviews

get_product_reviews accepts the same product_id or product_url inputs as the detail endpoint. It returns up to 7 top reviews, each with an integer rating, author name, and comment text. Alongside the review array, the response includes average_rating (out of 5) and review_count for the full aggregate totals, even though the reviews array itself is capped at 7 entries per call.

Reliability & maintenance

The Back Market API is a managed, monitored endpoint for backmarket.fr — not a raw scraper you maintain. Every endpoint is automatically health-checked on a schedule, and when backmarket.fr changes and a check fails, the API is automatically queued for repair and re-verified. It is built to keep working as the site underneath it changes.

This isn't an official backmarket.fr API — it's an independent, maintained REST wrapper over public data. Where the source has no official API (or only a limited one), Parse gives you a stable contract over a source that never promised one, and keeps it current. Need a new endpoint or field? You can revise it yourself in plain English and the agent rebuilds it against the live site in minutes — contributing the change back to the shared API is free.

Will this API break when the source site changes?+
It's built not to. Every endpoint is health-checked on a schedule with automated test probes. When the source site changes and a check fails, the API is automatically queued for repair and re-verified — that's the self-healing layer. Each API page shows when its endpoints were last verified. And because marketplace APIs are shared, any fix reaches everyone using it.
Is this an official API from the source site?+
No — Parse APIs are independent, managed REST wrappers over publicly available data. That is the point: where a site has no official API (or only a limited one), Parse gives you a maintained, monitored endpoint for that data and keeps it working as the site changes — so you get a stable contract over a source that never promised one.
Can I fix or extend this API myself if I need a new endpoint or field?+
Yes — and you don't have to wait on us. This API was generated by the Parse agent, which stays attached. Describe the change in plain English ("add an endpoint that returns reviews", "fix the price field") in the revise box on the API page or via the revise_api MCP tool, and the agent rebuilds it against the live site in minutes. Contributing the change back to the public API is free.
What happens if I call an endpoint that has an issue?+
Errors are machine-readable: a bad call returns a clean status with the list of available endpoints and a repair hint, so an agent (or you) can recover or trigger a fix instead of failing silently. Confirmed failures feed the automatic repair queue.
Common use cases
  • Track refurbished iPhone prices across condition variants (Fair/Good/Excellent) using variants from get_product_details.
  • Build a price-comparison tool that pulls original_price vs. price to show savings on refurbished electronics.
  • Monitor availability.in_stock status for specific product UUIDs to alert users when a listing comes back in stock.
  • Aggregate average_rating and review_count data across search results to rank the best-reviewed refurbished laptops.
  • Extract customer sentiment from comment fields in get_product_reviews for a specific product.
  • Paginate through search_products results to build a full catalog snapshot of Back Market France's refurbished inventory.
  • Compare battery variants for refurbished phones to surface listings with the best battery condition at a given price point.
Pricing & limitsSee full pricing →
TierPriceCredits/monthRate limit
Free$0/mo1005 req/min
Hobby$30/mo1,00020 req/min
Developer$100/mo5,000100 req/min

One credit = one API call regardless of which marketplace API you call. Exceeding the rate limit returns a 429 response. Authenticate with the X-API-Key header.

Frequently asked questions
Does Back Market have an official public developer API?+
Back Market does not publish a public developer API or documented REST endpoints for external access to its product catalog or reviews.
What does `get_product_details` return beyond basic pricing?+
In addition to price and original_price, the endpoint returns a variants array that breaks down available picker options for condition (e.g. Fair, Good, Excellent), storage capacity, and battery health. It also returns an availability object with in_stock and can_add_to_cart booleans, plus an images array and aggregate rating and review_count.
How many reviews does `get_product_reviews` return per call?+
The endpoint returns up to 7 top reviews per call. The review_count and average_rating fields reflect the full aggregate totals for the product, but paginating through all reviews beyond those 7 is not currently supported. You can fork this API on Parse and revise it to add deeper review pagination.
Does the API cover Back Market sites outside France?+
The API covers backmarket.fr (France) only. Other regional storefronts — such as Back Market US, Germany, or the UK — are not included. You can fork this API on Parse and revise it to target a different regional domain.
Can I retrieve seller-level information or individual seller ratings?+
No seller-level data is exposed. The current endpoints cover product-level fields: pricing, variants, availability, and aggregate customer reviews. You can fork this API on Parse and revise it to add a seller detail endpoint if that data is available on the product page.
Page content last updated . Spec covers 3 endpoints from backmarket.fr.
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