Back Market Scraper

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Back Market SAS or its affiliates. Data is read from publicly accessible search pages only. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Back Market Scraper searches refurbished electronics and saves one row per product card: title, refurbished price, compared new price, rating, and product URL. Keywords run on the US or France site. A pasted search URL is read from the host in that URL. This Back Market scraper is an API alternative for those search cards: run it from Python, Node.js, or MCP and export JSON.

Use it for price checks on phones, laptops, and other refurbished gear, then compare the same model on Amazon or eBay.

Which Actor in this suite

Actor	What it returns
Back Market Scraper ◄── you are here	Refurbished price, new price, and rating from Back Market search
Amazon Search Scraper	Amazon search cards
eBay Sold Listings Scraper	eBay sold comps

When to use

• You track refurbished iPhone, MacBook, or Samsung prices and need the card price versus the new price.
• You have a Back Market search URL with filters already applied.
• You want a JSON dataset for a spreadsheet, an API job, or an AI assistant.

Skip this Actor for seller accounts, reviews, or grade-by-grade offers on the product page. This run reads search cards only.

Key features

• Keyword search on the US and France sites
• Pasted Back Market search URLs, paginated until max items
• Refurbished price, compared new price, rating, brand, and image
• One row per product card
• HTTP only, 256 MB, no browser. Residential proxy is required.
• JSON dataset for API, Python, Node, and MCP

Input

Field	Required	Description
searchQueries	No	Keywords. The country field picks the site.
startUrls	No	Back Market search URLs. Pagination uses p.
country	No	us (default) or fr. Pasted URLs keep their host.
maxItems	No	Rows to save, 1–500. Default 100.
proxyConfiguration	No	Residential proxy. A bare IP and datacenter are challenged.

{
  "searchQueries": ["iphone"],
  "country": "us",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Search URL example:

{
  "startUrls": [
    "https://www.backmarket.com/en-us/search?q=iphone"
  ],
  "maxItems": 20
}

Output

Field	Description
productId	Back Market product id
listingId	Offer id from the card link, when present
title	Card title
brand / model / category	Labels on the card
price	Starting refurbished price
priceNew	Compared new price
currency	USD or EUR from the price symbol
rating	Star rating, when the card shows one
imageUrl	Product image
productUrl	Product page
country	Region from the search URL
searchQuery	Keyword that produced the row
position	Place in the result list
scrapedAt	UTC timestamp

{
  "source": "backmarket",
  "country": "us",
  "searchQuery": "iphone",
  "productId": "c8fc0d62-5daa-48f0-ba1e-4c41b4612249",
  "listingId": "12",
  "title": "iPhone 15 • Unlocked",
  "brand": "apple",
  "model": "iphone 15",
  "category": "Smartphones",
  "price": 396.48,
  "priceNew": 729,
  "currency": "USD",
  "rating": 4.5,
  "productUrl": "https://www.backmarket.com/en-us/p/iphone-15-128-gb-black-unlocked/c8fc0d62-5daa-48f0-ba1e-4c41b4612249?l=12",
  "position": 1
}

Use cases

• Refurbished price check: search a model and export the starting price next to the new price.
• Assortment list: paste a filtered search URL and keep the cards in order.
• Catalog match: keep product id, brand, and image for a later join.
• Comp set: take the title into an Amazon or eBay run.

Integration examples

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("crawloop/backmarket-scraper").call({
  searchQueries: ["iphone"],
  country: "us",
  maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("crawloop/backmarket-scraper").call(run_input={
    "searchQueries": ["iphone"],
    "country": "us",
    "maxItems": 20,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items[0])

cURL

curl "https://api.apify.com/v2/acts/crawloop~backmarket-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["iphone"],"country":"us","maxItems":20}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by its Store name crawloop/backmarket-scraper.

Example prompts:

• "Run Back Market Scraper for iphone in the US, keep 20 cards, and return title, refurbished price, and new price as JSON."
• "Scrape the Back Market France search for MacBook and list the cheapest five titles."
• "After Back Market Scraper, run eBay Sold Listings Scraper for the same iPhone title and compare sold prices."

Suite next step

When a Back Market card is a model you also price on the open market, run eBay Sold Listings Scraper for sold comps, or Amazon Search Scraper for the current Amazon card.

FAQ

Does a row include every grade and color?

No. Each row is one search card: the starting refurbished price and the compared new price. Grade and color variants on the product page are not opened.

Which countries work for a keyword?

United States and France. A pasted search URL on another Back Market host is attempted with the same card parser.

What if the search has no products?

The run still succeeds and saves nothing for that query.

How many rows can one run save?

500. Search pages are followed until that cap or the result list ends.