# Back Market Scraper — Refurbished Prices (`crawloop/backmarket-scraper`) Actor

Search Back Market for refurbished phones, laptops, and electronics in the US and France. Each row has the refurbished price, the compared new price, and the rating. JSON export for price checks.

- **URL**: https://apify.com/crawloop/backmarket-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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](https://apify.com/crawloop/amazon-search-scraper) | Amazon search cards |
| [eBay Sold Listings Scraper](https://apify.com/crawloop/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. |

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

Search URL example:

```json
{
  "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 |

```json
{
  "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

```javascript
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

```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

```bash
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](https://docs.apify.com/platform/integrations/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](https://apify.com/crawloop/ebay-sold-listings-scraper) for sold comps, or [Amazon Search Scraper](https://apify.com/crawloop/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.

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords, for example iPhone or MacBook. The country field picks the US or France site.

## `startUrls` (type: `array`):

Back Market search page URLs. Pagination uses the p parameter. The country field is ignored for these URLs.

## `country` (type: `string`):

Marketplace for search queries. Pasted search URLs keep their own host.

## `maxItems` (type: `integer`):

Maximum product cards to save (1–500).

## `proxyConfiguration` (type: `object`):

Apify Proxy. Residential is required: a bare IP and datacenter are challenged. The run uses the RESIDENTIAL group and a country that matches the marketplace.

## Actor input object example

```json
{
  "searchQueries": [
    "iphone"
  ],
  "country": "us",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "iphone"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/backmarket-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["iphone"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/backmarket-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "iphone"
  ],
  "maxItems": 50
}' |
apify call crawloop/backmarket-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/backmarket-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vt0kB2OWgIqmSEqhe/builds/K7vXCdo8Lkp3Hq62w/openapi.json