Boulanger Scraper

Scrape product data, prices, brands, and stock status from Boulanger.com — France's leading electronics and home appliance retailer, part of the Auchan/Mulliez group.

How it works

Boulanger.com blocks plain HTTP requests and even a real Chromium browser's automatic/free proxy traffic at the Akamai edge (verified: both return an HTTP 400 "Invalid URL" response with no content, server: AkamaiGHost). This actor routes every request through Bright Data's Web Unlocker to get past that block, then parses the returned HTML directly — no headless browser rendering is needed.

Boulanger's search and category pages are a client-hydrated single-page app, but the raw server-rendered HTML still carries the full page of results in two inline data blocks: a Tag Commander analytics array (price, brand, SKU, category, stock) and a schema.org ItemList JSON-LD block (proper product name, image, URL). The actor reads both and joins them by product ID, so a single request per page of ~40 products is enough for the standard fields — there's no need to visit every product's own page.

For EAN barcodes, star ratings, and full descriptions (not present on listing pages), turn on the optional fetchDetails input — it fetches each product's own page for that extra data, at the cost of one additional request per product.

The scraper supports keyword search, direct category URL scraping, or a list of specific URLs, all with automatic pagination.

Input

Field	Type	Description
searchQuery	string	Search term (e.g., "aspirateur", "televiseur", "lave-linge")
categoryUrl	string	Direct category URL from boulanger.com, e.g. https://www.boulanger.com/c/accessoire-aspirateur
startUrls	array	Specific search, category, or /ref/ product URLs to scrape (max 50)
maxResults	integer	Maximum number of products to return (default: 100)
fetchDetails	boolean	OFF by default. Turn on to also fetch each product's detail page for EAN, rating, review count, description and specs — roughly doubles the number of requests
brightDataApiKey	string	Your own Bright Data Web Unlocker key. Optional — leave empty to use the operator's default key

When no input is provided, it defaults to searching for "aspirateur" (vacuum cleaners).

Output

Each product includes the following fields:

Field	Type	Example
name	string	"Aspirateur sans sac ROWENTA Compact Cyclonic Power XXL RO4B25EA"
brand	string	"ROWENTA"
price	number	99.0
currency	string	"EUR"
sku	string	"1189684"
ean	string	"3221616093096" (only with fetchDetails)
inStock	boolean	true
rating	number	4.5 (only with fetchDetails)
reviewCount	number	183 (only with fetchDetails)
url	string	Full product page URL
imageUrl	string	Main product image URL
productDescription	string	Product description text (only with fetchDetails)
category	string	"maison - entretien - jardin > aspirateur > aspirateur balai"
scrapedAt	string	ISO 8601 timestamp

Example output

{
    "name": "Aspirateur sans sac ROWENTA Compact Cyclonic Power XXL RO4B25EA",
    "brand": "ROWENTA",
    "price": 99.0,
    "currency": "EUR",
    "sku": "1189684",
    "inStock": true,
    "category": "maison - entretien - jardin > aspirateur > aspirateur balai",
    "imageUrl": "https://boulanger.scene7.com/is/image/Boulanger/3221616093096_h_f_l_0",
    "url": "https://www.boulanger.com/ref/1189684",
    "scrapedAt": "2026-09-14T09:18:19.065Z"
}

Cost

Each listing-page request returns around 40 products, and Bright Data's Web Unlocker costs roughly $0.0015 per request — well under a tenth of a cent per result. With fetchDetails off, expect several thousand products per $1 of Apify credits. Turning fetchDetails on adds one Bright Data request per product, so budget for roughly half as many results per $1.

A run's usage cost only settles once the run has finished with status SUCCEEDED — check the final cost after completion, not mid-run.

Why use Boulanger Scraper

• Price monitoring — Track prices and stock on one of France's biggest electronics and appliance retailers
• Competitive intelligence — Compare your catalog against Boulanger's pricing and availability
• Market research — Analyze product ranges, brands, and category depth in the French electronics market
• Lead generation — Build product datasets for affiliate sites, comparison tools, or price-tracking feeds
• No login or cookies required — Works without authentication, just point and scrape

How to use Boulanger Scraper

1. Open the Input tab and enter a search query or category URL
2. Set maxResults to control how many products to extract
3. Turn on fetchDetails only if you need EAN, ratings, or descriptions
4. Click Start and wait for the run to complete
5. Download results from the Output tab in JSON, CSV, Excel, XML, or HTML
6. Schedule recurring runs from the Schedule tab for ongoing price monitoring

How to scrape Boulanger data

This Actor automates the process of extracting structured product data from Boulanger.com. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles Boulanger's Akamai anti-bot protection, pagination, and retries so you can focus on the data.

Typical workflows:

• One-off export: paste a search keyword or category URL, set maxResults, and run
• Scheduled monitoring: set a daily or weekly cron in the Schedule tab to track prices over time
• Programmatic integration: trigger runs from your backend via the Apify API and pull the dataset when finished
• Webhook automation: receive a callback the moment a run completes and pipe results into Zapier, Make, n8n, BigQuery, or Google Sheets

Example: Search for TVs

{
    "searchQuery": "televiseur",
    "maxResults": 50
}

Example: Scrape a category

{
    "categoryUrl": "https://www.boulanger.com/c/accessoire-aspirateur",
    "maxResults": 200
}

Example: With EAN and ratings

{
    "searchQuery": "aspirateur",
    "maxResults": 30,
    "fetchDetails": true
}

Tips for best results

• Start small — run with maxResults: 10 to verify everything works before larger jobs
• Leave fetchDetails off unless you specifically need EAN, ratings, or full descriptions — it roughly doubles run cost and time
• Use category URLs for full-catalogue pulls — they're more stable than search keywords for repeat monitoring
• Schedule regular runs — daily or weekly monitoring captures price changes effectively
• Check the dataset schema — the Storage tab shows the full output structure with all available fields

Supported product categories

Boulanger covers the full range of consumer electronics and home appliances:

• TVs, monitors, and home cinema
• Laptops, desktops, and tablets
• Smartphones and accessories
• Kitchen appliances (ovens, dishwashers, microwaves)
• Laundry (washing machines, dryers)
• Vacuum cleaners and floor care
• Audio, headphones, and speakers
• Gaming consoles and accessories
• Connected home and smart devices
• Small appliances (coffee makers, toasters, blenders)

FAQ and support

Is it legal to scrape Boulanger? This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits.

Why am I getting fewer results than expected? Some searches or categories have fewer products available than maxResults. Try a broader keyword, or check the site directly for the total result count.

The scraper returns 0 items — what should I do? Check that a valid Bright Data API key is configured. Boulanger blocks plain proxies entirely, so this is the one dependency that has to be right.

Can I get EAN barcodes and ratings? Yes — turn on fetchDetails in the input. It's off by default because most price-monitoring use cases only need name, price, brand, and stock status, which are already included at no extra cost.

For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support. We monitor every actor and ship fixes quickly when the site changes.