Fnac Scraper
Fnac is a French retailer with a marketplace bolted on and a members' price sitting next to the public one, so a single product can carry three different numbers at once. Its API is built for its own sellers. The AI scraper reads the public listing instead, turns it into columns you define, and runs on a schedule.
- fnac.com
- fnac.be
- fnac.es
- fnac.pt
How to scrape Fnac.com
Fnac is a French institution that became an e-commerce business, and it has a structural quirk worth building a scraper around: alongside the public price it publishes a members' price for Fnac+ subscribers, and on top of that it runs a marketplace where third-party sellers compete on the same product. One product page can therefore carry the public price, the member price, and a marketplace seller's price, and a competitor analysis that captures only the first of those is measuring the wrong number. Fnac's programmatic access is a marketplace seller API, scoped to the account you authorise and aimed at managing your own offers and orders. There is nothing public for reading competitor prices, and Scrapewise carries no dedicated Fnac endpoint either. What works is the public listing. Access is the hard part: we measured it on 30 September 2026 and a plain fetch was refused with a 403, while a real browser was served a Fnac Darty maintenance page rather than the listing. We plan Fnac at the top tier on that basis. You paste fnac.com URLs into the AI scraper, declare the columns you want, and set a daily schedule. Every run comes back over REST, CSV or Excel, and you pay per page from a prepaid wallet.
What the AI scraper does with a fnac.com link
Three steps, same as any other site. Nothing about Fnac is pre-built, which is why it reaches a retailer nobody ships an endpoint for.
Paste the link
A product page, a brand page, or a category URL with the filters already applied. Fnac encodes filters and sort order in the address, so a view you built by hand in the browser is a valid input.
You declare the columns
A Fnac pricing job usually wants both prices: the public one and the members' one, plus any strikethrough reference price, delivery cost, who is selling, and the condition, since Fnac's second-hand and refurbished offers sit next to new stock. You name those fields yourself in a Custom Schema, or start from the ready Product List schema and add to it.
Schedule it and take the data out
Run it once or daily. Pull each run by REST API or download it as CSV or Excel. The columns stay the same between runs, so a French table lines up with whatever you already collect from other European channels.
Set it up once. The data keeps coming.
Save your search once and it runs by itself. Every run lands in your own Scrapewise database, and you pick how to read it.
Set it up once
Add your ASINs, keywords, places or apps to a scraper in the web app. New accounts get 5 free requests.
Runs on your schedule
Pick daily, weekly on the days you choose, every few days, or the first or last day of the month. Scheduled runs start at night, European time. Need it more often? Start runs from your own code.
Saved in your database
Each run adds dated rows, so this week sits next to last week. Rows are kept for 90 days.
Use it your way
Open the table in the web app and download the latest run as an Excel file. Ask your own AI assistant about it. Or pull the rows into your code with an API key.
Ask your AI assistant about your own data
Connect Claude Desktop or Claude Code with a read-only key. The assistant reads the rows you've already collected, at no extra cost on Scrapewise. With a full-access key it can start a run for you too.
- Which of my ASINs lost the Buy Box this week?
- Which competitor cut prices the most since Monday?
- Show the keywords where I dropped out of the top 10.
What you send and what you get
You send a link and a column list. The public price, the member price, who is selling and what delivery adds all come from the page itself.
- Link to a fnac.com product, brand or category pagerequired
Set your filters and sort order in the browser first, then copy the address. Fnac encodes them in the URL, so a view you built by hand is a valid input.
https://www.fnac.com/SearchResult/ResultList.aspx?Search=philips+hue - Your column listrequired
Start from the ready Product List schema or name your own fields in a Custom Schema. The AI fills the fields you declared.
Custom Schema, 14 fields - How often it runsoptional
- On demand
- Daily
- Weekly
- Monthly
Daily is the fastest cadence available, and enough to catch a members-only discount that never touches the public price.
One row per competing offer on the product, 14 columns each
- offer_rank
- seller_name
- is_sold_by_fnac
- price
- member_price
- reference_price
- delivery_cost
- total_price
- condition
- availability
- product_title
- brand
- +2 more, see all columns
REST API, CSV or Excel. The column set stays the same between runs, so a Fnac table lines up with your other European channels.
The columns a fnac.com run gives you
We are not going to print a table of invented offers and call it real output. Fnac refuses a plain fetch and served an ordinary browser a maintenance page, so a run has to go through the residential tier. This is the column list you declare before the run, and the column list every run comes back with.
offer_rankPosition of the offer on the page, featured offer firstseller_nameMerchant behind this offer, Fnac itself includedis_sold_by_fnacWhether Fnac or a marketplace seller holds this offerpricePublic price, the number a non-member paysmember_priceFnac+ members' price, only where the page publishes onereference_priceStrikethrough or reference price, when showndelivery_costDelivery cost as the page states ittotal_priceOffer price plus deliveryconditionNew, second hand or refurbished, as the offer states itavailabilityStock wording the page publishes for the offerproduct_titleProduct title as Fnac writes itbrandBrand shown on the producteanEAN, only when the page prints itchecked_atWhen this run collected the page (UTC)The columns are yours, not ours. Add, rename or drop any of them in a Custom Schema and every future run returns exactly your set.
What a fnac.com page costs
Pay-as-you-go from your wallet. No plan, no monthly fee, no seat count.
Measured on 30 September 2026, not assumed. A plain fetch of a fnac.com URL is refused with a 403, and loading the same URL in a real browser returned a page titled "FNAC DARTY - Maintenance" rather than the listing. We cannot tell from outside whether that was a soft block or genuine maintenance, so we plan Fnac at the top tier and let the billing correct us: you are charged for the tier a run actually used, so if a cheaper rung turns out to be enough, that is what appears on your invoice.
200 fnac.com product pages checked once a day for a month is 6,000 pages.
about EUR 22.50 for the month at this tier
You are charged for the tier a run actually used, not the tier it was expected to need, and your balance never expires.
See the full price list →What this page is not promising
We would rather say this here than in a support ticket.
No dedicated Fnac endpoint
There is no Fnac data API in our catalogue and no pre-built Fnac schema. The AI scraper reads the page you point it at, and that is the whole mechanism.
We do not log in to get member prices
The Fnac+ members' price is captured where Fnac publishes it to a logged-out visitor. We do not hold accounts, supply credentials or sit behind a login, so where that price is session-gated the column comes back empty rather than guessed.
This is the expensive tier
Fnac refuses a plain fetch and served a plain browser a maintenance page, so we plan every run at the rendered residential tier at EUR 3.75 per 1,000 pages. Billing follows the tier a run actually used, so a cheaper result is possible, but scope the page count on the top tier.
No seller-account data
Anything behind Fnac's marketplace login, your offers, your orders, your performance figures, is not reachable by a scraper reading public pages.
Daily, not real time
Daily is the fastest schedule. There is no real-time feed, no per-minute polling and no price-drop alerting.
No price history, no SKU matching
We store nothing about Fnac prices on our side, so a price curve starts the day you switch the scraper on. You get Fnac's rows as Fnac presents them, mapping them to your catalogue is a separate job, and we are not lawyers, so check Fnac's terms before you run anything.
Typical fields the AI scraper extracts from a fnac.com page
A starting point, not a fixed schema. What comes back is whatever the page actually shows on the day of the run.
Two prices, not one
The thing that makes Fnac different from an ordinary retailer: the members' price is a separate number on the same page, and it is frequently the one that moves.
- Public price
- Fnac+ members' price, where the page publishes one
- Strikethrough or reference price, when shown
- Discount percentage, when shown
- Promotion or campaign badge wording
Who is selling it
Fnac sells its own stock and hosts a marketplace, so the same product can carry offers from both.
- Sold by Fnac or by a marketplace seller
- Seller name and rating, where a seller holds the offer
- Delivery cost and delivery window
- Click-and-collect availability, where the page shows it
- Availability and stock wording
Product and condition
Fnac runs a substantial second-hand and refurbished business alongside new stock, which makes condition a required column rather than a nice-to-have.
- Product title
- Brand
- Condition, including second-hand and refurbished grades where stated
- EAN, only where the page prints it
- Category breadcrumb
- Rating and review count
- Product image URL
The column list is one you write: name each field, give it a type and a line telling the AI what to look for. The schema belongs to your account, so a Fnac field set can be reused on fnac.be, fnac.es and fnac.pt, or on the next French channel you point us at. How Custom Schema works →
What it cannot give you The scraper cannot invent a field the page does not render. The members' price is only readable where Fnac publishes it to a logged-out visitor, and we do not log in to accounts, so where it is hidden behind a session it will come back empty rather than guessed. The full seller list normally sits behind an offers link, so a run against the base URL returns the featured offer rather than every competing one. Historical prices are not on the page and are not stored on our side.
What people use Fnac data for
Catching the discount that never touches the public price
Fnac can hold its shelf price flat and move the members' price instead. If your monitoring only reads the public number, that whole lever is invisible to you. Two columns fix it.
Watching your brand on a French institution
Fnac carries a lot of brand weight in media, electronics and culture categories. Scraping your own products daily tells you what Fnac and its sellers actually charge, which is not always what you agreed.
Catching sellers you did not appoint
Fnac's marketplace side means a third party can be selling your SKU alongside Fnac's own offer. Capturing who holds the featured offer is what turns a suspicion into a channel conversation.
Competitor price monitoring in French retail
Scraping a category gives you what every competing product in it costs today, including delivery. Run it daily and you have a market curve rather than an impression.
Separating second-hand from new
Fnac's used and refurbished offers undercut new stock on the same product. Capturing condition as its own column stops a second-hand price being read as a new-goods price cut.
Feeding your own repricing rules
The export is a normal REST API or CSV, so it drops into whatever repricing logic you already run. Scrapewise supplies the observation; your rules decide what to do with it.
What makes fnac.com harder than an ordinary storefront
Access is one problem. Two prices on the same page is the one that produces wrong reports.
Access
- A plain fetch is refused with a 403, so the cheapest tier is not an option
- A real browser was served a group maintenance page rather than the listing
- We plan runs at the rendered residential tier and let the billing correct us downward if a cheaper rung works
- Success is high but not guaranteed on any individual run
Member pricing
- The Fnac+ members' price is a separate number on the same page and frequently the one that moves
- Capturing only the public price understates how aggressive Fnac actually is
- Where the members' price is only shown to a logged-in visitor it comes back empty, because we do not log in
Marketplace and condition
- Fnac's own stock and marketplace seller offers sit on the same product
- Second-hand and refurbished offers sit next to new stock and are easy to compare by mistake
- fnac.be, fnac.es and fnac.pt are separate sites with separate assortments and need separate scrapers
Scheduling and delivery
- Daily is the fastest cadence, which matches how often retail prices meaningfully move
- Every run is retrievable by REST API, or downloadable as CSV or Excel
- Columns stay stable between runs, so downstream jobs do not need to re-map fields
Fnac.com scraping — questions
What people ask before pointing the scraper at fnac.com.
No. Fnac's programmatic access is a marketplace seller API, scoped to the account you authorise and aimed at managing your own offers and orders. It is not something you sign up for to read competitor prices, and there is no public read API for fnac.com product data.
Ready to pull Fnac data into your stack?
Start free — or talk to our team about your exact fields, refresh cadence and volume.