Fnac Scraper - Products, Prices, Variants & Reviews

Fnac Scraper: Prices, Discounts, Variants & Reviews

Fnac Scraper turns Fnac.com, the French electronics, media and entertainment retailer, into structured product data. Search by keyword and/or category, or paste product and search-result links directly, and get the current price, the strike-through reference price with a computed discount when a product is genuinely marked down, the colour/model variant matrix, a flattened spec sheet and the site's own reviews and rating. Export to JSON, CSV or Excel, pipe results into Notion, Linear or Airtable, or read them straight through the API.

Why This Scraper?

• Was-price and discount, never fabricated. When a listing card shows a product marked down against the site's own reference price, both prices are captured plus the computed discount amount, percentage and the site's own promo label. A full-price product carries null there, never a guessed discount. A pasted single-product link does not carry this discount data at all, since it reads the product page directly rather than a listing card; see the FAQ below.
• Real narrowing in search mode. In search mode, a requested brand narrows through the site's own search facet server side, and sort reorders the full server-side result set, both verified against live results. With several brands, each gets its own search pass. A pasted category or search-result link in URL mode does not send the brand facet to the site, and cannot filter by brand client-side either, since a plain listing card never carries its own brand (a pasted product page is checked against its page brand); use search mode if you need brand narrowing. Extra filters: sold by Fnac only, condition (new or refurbished), in-stock only, and several search terms at once.
• Colour/model variant matrix. Products sold in more than one colour or configuration return every sibling variant, each with its own id, url, image and availability.
• Reviews straight from the product page. Overall rating, rating count and the product's own individual written reviews (author, date, rating, title, body, verified-purchase flag), read directly from the page, not a third-party review vendor.
• Flattened spec sheet. Full detail returns every characteristic the product page itself declares, storage, screen size, colour, EAN, condition and whatever else that category carries, rather than a fixed field list.
• Two ways in. Keyword and/or category search with real site filters, or paste any product or search-result link and let pagination continue automatically.
• Built for schedules. Turn on incremental mode to get only new and changed products on every recurring run, and a fully blocked run fails loudly instead of quietly returning an empty dataset.

Use Cases

• Price tracking and deal alerts: monitor a search or a list of products for price drops and genuine promotions over time.
• Catalog and competitor research: build a dataset of prices, discounts, specs and variant availability across a category.
• Review and reputation analysis: collect a product's own ratings and written reviews before stocking or recommending it.
• Assortment and variant mapping: pull the full colour/model matrix for a product line to see what is actually available.
• Feed a shop-comparison site or bot: keep prices and availability current with scheduled, incremental runs.

Data You Get

Sample shape: values are illustrative placeholders, not from a live product.

Field	Example
productId / sku	"77340219" / "9871234567890" (EAN)
name	"Aurivex SoundWave Pro 500 Casque Sans Fil Noir"
brand	"Aurivex" (null on a plain listing card; populated only via full product detail or a pasted single-product link)
category / breadcrumbPath	"Casque audio" / ["Accueil", "Son", "Casques et ecouteurs", "Casques sans fil"]
url	"https://www.fnac.com/mp77340219/aurivex-soundwave-pro-500-casque-sans-fil-noir/w-4"
price / currency	89.99 / "EUR"
originalPrice / discountAmount / discountPercent	119.99 / 30.00 / 25.0
isOnSpecial / promoLabel	true / "Vente flash"
onlineAvailable / condition	true / "new"
sellerName	"Fnac" (or a marketplace seller's name)
image / images / description	"https://static.example.com/000000001.jpg" / a gallery array / full product description text
characteristics / cardCharacteristics	{"Autonomie": "30h", "Couleur": "Noir", "EAN": "9871234567890"} (full spec sheet, full detail only) / {"Autonomie": "30h", "Couleur": "Noir"} (short spec teaser on every listing card)
variants	[{"axis": "Couleur", "name": "Bleu", "url": "https://www.fnac.com/mp77340220/.../w-4", "available": true}]
rating / reviewCount	4.3 / 18
reviews.averageRating / reviews.ratingCount / reviews.totalReviewCount / reviews.items[]	4.3 / 18 / 6 / [{"rating": 5, "title": "Tres bon son", "body": "Le son est clair et la batterie tient longtemps.", "author": "Marie L.", "date": "Posted on 03 Mar 2026", "verifiedPurchase": true}]
ean / mpn / productType / subtitle / authors / brandUrl / pageTemplate	identity and catalog fields from the product page: "9871234567890" / "AX-500" / "Casque audio", plus the subtitle and authors of books and media, the brand page link and the site's page template path (full detail)
metaDescription / descriptionHtml / bestRating / worstRating / ratingCount	the page's meta description, the description as HTML, and the rating scale and count, such as 5 / 1 / 154 (full detail)
availability / inStock / isRefurbished / conditionDetail	the site's own availability wording such as "En Stock"; a true/false in-stock flag taken from it (null when the page states nothing); true when the offer is graded second-hand or labelled "Reconditionné"; the site's grade word such as "Très bon" (listing cards and full detail)
sellerId / sellerType / sellerLocation / sellerRating / sellerSales	the seller behind the offer shown ("fnac" or "professional", the site's location class); rating and sales count only for a marketplace main offer (full detail)
delivery / deliveryOptions / deliveryDate / deliveryPrice / shippingCost / storeAvailability	delivery method and option text, the promised date text, delivery price in EUR, and the store pickup line for the visitor's nearest store (full detail)
warrantyOptions[] / includedAccessories	[{"name": "Garantie Reparation pendant 3 ans", "price": 94.99, "pricePerMonth": 2.64}] / ["Charging cable", "Documentation"] (full detail)
energyClass / repairabilityIndex / durabilityIndex / ecoTax / rcpTax	energy label letter, French repairability and durability scores, and the eco-participation and private-copy amounts in EUR, when the page shows them (full detail)
offersNewCount / offersUsedCount / otherSellers[]	counts of the other new and second-hand offers, and each one: seller name, id, type, location, rating, review count, price, condition and grade, delivery promise and shipping cost (full detail)
scrapedAt	the time the row was scraped, ISO 8601 UTC, on every row
changeType / changedFields / firstSeenAt / lastSeenAt	"NEW" (also UPDATED, UNCHANGED, REAPPEARED, EXPIRED) / ["price"] / "2026-01-01T00:00:00Z" / "2026-03-01T00:00:00Z" (incremental mode only)

A pasted single product link always reads the full product page. Fetch full product details (on in search mode, always on for a pasted product link) fills description, brand, sku, category, breadcrumbPath, the flattened characteristics spec sheet, the images gallery, the variants matrix and every full-detail field listed above. Fields the page does not carry for a given product are simply left out of that row (a book has no energy class, a first-party offer has no seller rating). On a listing row condition is the site's own grade word (new, like-new, very-good, good, acceptable); on a product page it is new or used. isRefurbished is the one flag to filter on. onlineAvailable stays at its listing-card default (true) in search mode; use availability for the real wording. unitPrice and storePickupAvailable are fields the dataset always carries but the site does not currently expose a value for, so they are always null.

The extra seller and offer details of a product (ratings, delivery promises, the marketplace seller's sales) come from two small pages the product page itself loads; they are fetched in the same step as the product page and are part of the same detail-enrichment unit, never a separate charge.

How to Use

1. Pick a mode: search (keyword and/or category) or url (paste product or search-result links).
2. Fill in the fields for that mode, and set the filters (brand, price range, discount-only) and sort you want.
3. Choose whether to fetch full product detail and/or reviews, and set Max items and Max pages to control run size and cost.
4. Click Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

1. Keyword search, first page, with reviews (the default):

{
  "mode": "search",
  "searchTerm": "iphone",
  "maxItems": 20
}

2. Keyword filtered to a brand, discounted items only, sorted by price:

{
  "mode": "search",
  "searchTerm": "smartphone",
  "brands": ["Apple"],
  "specialsOnly": true,
  "sortBy": "PRICE_ASC",
  "maxItems": 50,
  "maxPages": 5
}

3. Full product detail and reviews for a pasted product link:

{
  "mode": "url",
  "urls": ["https://www.fnac.com/mp50936969/APPLE-iPhone-14-6-1-128-Go-Bleu-Reconditionne-Avec-Batterie-neuve/w-4"],
  "fetchDetails": true,
  "fetchReviews": true
}

4. Recurring monitoring of the same search, only what changed:

{
  "mode": "search",
  "searchTerm": "iphone",
  "incrementalMode": true,
  "maxItems": 50
}

URL mode: accepted link shapes

Paste any of these into URLs (URL mode); each is recognised automatically:

• Search results (/SearchResult/ResultList.aspx?Search=...), including a paginated page (PageIndex=2) and a filtered or sorted search (brand facet, SortTypes=...). Pagination continues forward.
• Category (/shi<id>/...) and sub-category (/nsh<id>/...) listing links.
• First-party product (/<slug>/a<id>/w-4, /<slug>/a<id>, /a<id>/<slug>, bare /a<id>) and marketplace product (/mp<id>/<slug>/w-4) links, with or without the slug and the trailing /w-4. The slug is ignored by the site, so repeated product ids are scraped once.

Default behaviour: if you leave URLs unedited, URL mode scrapes one example of each shape above, capped by Max items. Replace the list with your own links to scrape only those. A pasted product link always reads the full product page.

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/fnac-com-scraper").call(run_input={"mode": "search", "searchTerm": "iphone", "maxItems": 20})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["name"], product["price"], product["currency"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/fnac-com-scraper').call({ mode: 'search', searchTerm: 'iphone', maxItems: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Resume and recurring updates

• Resume (resumeFromRunId) continues one interrupted crawl. Paste a previous run or dataset id and this run skips every product it already collected, so you don't pay twice.
• Incremental mode (incrementalMode) is for running the same search or URL set again and again on a schedule. Each product is classified NEW, UPDATED (with changedFields), UNCHANGED (kept but not returned unless emitUnchanged is on), or, once a run has fully scanned every tracked search/URL with emitExpired on, EXPIRED. A product only ever comes back marked REAPPEARED if it was previously tombstoned that way, that is, only after some earlier run had emitExpired on and completed a full, uncapped, non-resumed scan that had already marked it gone. If emitExpired has never been turned on for a given search, a product that vanishes and later comes back is simply reported as UPDATED or UNCHANGED like any other rescrape, never REAPPEARED. stateKey names or shares the stored state. Leave it blank and the actor derives one automatically from your search filters (including searchTerms, soldByFnac, condition and inStockOnly when you set them) plus the fetchReviews setting, since turning that on or off changes the emitted record shape; set your own stateKey to share state deliberately across differently configured runs instead. The site serves the same product page in two layouts depending on the connection, so consecutive runs can read an unchanged product through different layouts. When the stored copy and the new copy come from different layouts, the fields one layout does not carry or fills with a default are not compared: specification sheet, photo gallery and main image, rating bounds and rating count, review count and reviews, stock status, online availability, eco tax and repair tax, energy, repairability and durability labels, included accessories, variants, authors, subtitle, brand page link, product type, category, breadcrumb, descriptions and meta description. A layout switch alone therefore never marks a product UPDATED and never bills it again. Price, name, seller, condition and the star rating are still compared, so a real change in them is always reported. A stock or label change that is only visible across a layout switch is reported on the next read in the same layout, and the stored copy always keeps the fuller classic layout values.
• Combining resumeFromRunId with incrementalMode bootstraps a brand-new monitoring campaign from that resumed crawl's results. If a baseline already exists for the derived (or given) state key, the run fails fast rather than silently mixing the two.
• Fields that move between two scrapes of the same unchanged product (the scrape time, the other sellers' list with their prices and ratings, the new and used offer counts, delivery date and price, the store pickup line, warranty prices) never count as a change, so they do not turn a product into UPDATED.
• One-time upgrade note: this version adds many new fields to each row. A saved baseline from an earlier version does not hold them, and they are adopted silently, so the first scheduled run after the upgrade does not return (or bill) every tracked product as UPDATED. The same applies to a baseline saved by an earlier version for a product page it could not read in the newer layout: the details this version now reads from that page (brand, category, description, reference and the like) are adopted silently the first time. A change of price or discount is never adopted silently. Likewise, a longer reviews list caused only by raising maxReviewsPerProduct is not a change. Real changes are detected as before.
• With incremental mode off, output is exactly as before.

Run time limits and partial results

Every run has a time limit. If the detail/review enrichment of the last batch of products cannot finish before that limit, the run returns those products anyway with their listing data (price, discount, rating) and an empty reviews object, and says so in a status message starting with "Partial results:". Those specific records are not billed the enrichment surcharge. To enrich everything within a short limit, lower Max items or turn full detail/reviews off.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape; the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each product, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify, Settings, Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the Pipe results into your apps input field. If the picker is empty, you have not authorized a connector yet.
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip. Use maxNotifyListings to cap how many items are exported per connector per run.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search (keyword and/or category) or url (paste product or search-result-listing links).
searchTerm	string	None (prefill "iphone")	Free-text keyword. Search mode only.
category	string	None	A category/rayon name, folded into the same free-text search as searchTerm. Search mode only.
sortBy	string	RELEVANCE	RELEVANCE, PRICE_ASC, PRICE_DESC, BEST_SELLERS, or TOP_RATED. Search mode only.
urls	array	One example of each link shape (search, paginated search, filtered and sorted search, first-party product, marketplace product, category, sub-category, bare /a<id> product)	Product, category or search-result-listing links to scrape. URL mode only; pagination continues forward automatically. Left unedited, URL mode scrapes one example of each shape. Repeated product ids are scraped once.
brands	array	Empty (prefill)	Brand names to keep; all of them are applied (one search pass per brand). Pasted product pages are checked against the page brand.
searchTerms	array	Empty	Extra keywords searched in turn alongside searchTerm.
soldByFnac	boolean	false	Keep only offers sold by Fnac itself (the seller type the site shows on every listing card); offers whose seller is not known yet are kept.
condition	string	any	any, new or refurbished. refurbished means any second-hand or refurbished offer: a graded used offer (like-new, very-good, good, acceptable) or a product labelled "Reconditionné". new drops all of those.
inStockOnly	boolean	false	Drop products the card or page marks as unavailable (for example "Ce produit n'est plus en vente").
minPrice	number	None	Only return products priced at or above this amount, in EUR. Applies in both modes.
maxPrice	number	None	Only return products priced at or below this amount, in EUR. Applies in both modes.
specialsOnly	boolean	false	Only return products currently showing a genuine discount against the site's own reference price, from listing-card data. A pasted single-product link never carries this discount data, so it is always filtered out when this is on.
fetchDetails	boolean	false	Adds full description, EAN/SKU, breadcrumb category, the flattened characteristics spec sheet, image gallery, and the colour/model variant matrix.
fetchReviews	boolean	true	Fetch the product's own reviews: overall rating, rating count and recent written reviews.
maxReviewsPerProduct	integer	20	Cap on written reviews fetched per product when Fetch reviews is on (maximum 100). fnac.com serves at most 10 written reviews on a product page (measured on first-party, refurbished and book pages), so a value above 10 returns no more than the page carries.
maxPages	integer	None (empty means no page limit)	Stop after this many result pages per search/URL entry.
maxItems	integer	20	Cap on total products returned across every search/URL entry. 0 = unlimited.
resumeFromRunId	string	None	Continue one interrupted run without re-collecting or re-charging products it already returned.
incrementalMode	boolean	false	Recurring monitoring of the same search/URL set: returns only new and changed products against a remembered baseline.
stateKey	string	None	Name or share an incremental-mode monitoring campaign. Leave empty to derive one automatically.
emitUnchanged	boolean	false	Also return (and bill) products that have not changed since the last run.
emitExpired	boolean	false	Also return (and bill) products no longer found, and start tombstoning missing products so a later reappearance can be detected. Only takes effect once a run fully scans every tracked search/URL.
ignoreFieldsForChanges	array	[]	Incremental mode only: field names (any nesting depth) that never count as a change, so a product differing only in them is UNCHANGED and not returned or billed as UPDATED.
proxy	object	Apify Proxy	Connection settings.
mcpConnectors	array	None	Optional MCP connectors to export results into (Notion, Linear, Airtable, Apify).
notionParentPageUrl	string	None	Notion connector only: page under which item pages are created.
maxNotifyListings	integer	50	Cap on items exported to each connector per run. Does not affect the dataset.

Output Example

Sample shape: values above are illustrative placeholders, not from a live product.

{
  "productId": "77340219",
  "sku": "9871234567890",
  "name": "Aurivex SoundWave Pro 500 Casque Sans Fil Noir",
  "brand": "Aurivex",
  "category": "Casque audio",
  "breadcrumbPath": ["Accueil", "Son", "Casques et ecouteurs", "Casques sans fil"],
  "url": "https://www.fnac.com/mp77340219/aurivex-soundwave-pro-500-casque-sans-fil-noir/w-4",
  "price": 89.99,
  "currency": "EUR",
  "originalPrice": 119.99,
  "discountAmount": 30.00,
  "discountPercent": 25.0,
  "isOnSpecial": true,
  "promoLabel": "Vente flash",
  "onlineAvailable": true,
  "condition": "new",
  "sellerName": "Fnac",
  "sellerType": "fnac",
  "isRefurbished": false,
  "availability": "En Stock",
  "ean": "9871234567890",
  "mpn": "AX-500",
  "image": "https://static.example.com/000000001.jpg",
  "description": "Sample product description as shown on the site.",
  "offersNewCount": 1,
  "offersUsedCount": 1,
  "otherSellers": [
    { "sellerName": "Marketplace Shop", "sellerType": "professional", "sellerRating": 4.5, "price": 74.9, "condition": "used", "conditionDetail": "Tres bon", "isRefurbished": true, "shippingCost": 0, "delivery": "Livre le 04/11" }
  ],
  "scrapedAt": "2026-03-01T10:00:00Z",
  "characteristics": { "Autonomie": "30h", "Couleur": "Noir", "EAN": "9871234567890" },
  "variants": [
    { "axis": "Couleur", "name": "Bleu", "url": "https://www.fnac.com/mp77340220/aurivex-soundwave-pro-500-casque-sans-fil-bleu/w-4", "available": true }
  ],
  "rating": 4.3,
  "reviewCount": 18,
  "reviews": {
    "averageRating": 4.3,
    "ratingCount": 18,
    "totalReviewCount": 6,
    "items": [
      { "rating": 5, "title": "Tres bon son", "body": "Le son est clair et la batterie tient longtemps.", "author": "Marie L.", "date": "Posted on 03 Mar 2026", "verifiedPurchase": true }
    ]
  }
}

Plan Requirement

Fnac.com is protected by strict bot detection. In our measurements, plain datacenter and residential connections were both refused (HTTP 403 with a short "Please enable JS" page), so the default connection alone will usually not load pages. The run therefore falls back automatically to a backup connection (Apify's result-unblocking proxy group, UNBLOCKER), which is the lane that served real pages. This backup lane is billed to your Apify account as proxy usage, at your plan's proxy rates, and requires a plan with proxy access. Apify free plans do not include residential proxies.

When the selected connection is refused by the site on every attempt (the usual case on this site), the run log first shows "Protected response detected; refreshing the connection." for each refused attempt, then once a boxed notice: "The selected connection was refused by the site on every attempt. Continuing on a backup connection; some pages may still be unavailable. The backup connection is billed to your Apify account as proxy usage.", and later "Served over the backup connection (the default connection was unavailable)." When instead your plan cannot open the selected connection at all, the boxed notice reads "The selected connection is unavailable to this run. Apify free plans do not include residential proxies. Continuing on a backup connection; some pages may still be unavailable." Either notice appears once per run.

To retire the backup lane entirely, set the environment variable FNAC_COM_ALTERNATE_CONNECTION=0 on the run; the run then uses only the connection you selected.

If nothing can be loaded, the run fails with a clear message instead of an empty dataset: "The proxy connection was refused for this account, so no page could be read..." (no proxy access on your plan), "No results: residential proxies are unavailable on this run ... and the backup connection could not load the requested Fnac pages." (backup also refused), or "Could not load any results page (the requests failed), so nothing was collected. This is a connection problem, not an empty search." Try again later; access can be bursty.

FAQ

How much does it cost?

Billing uses three pay-per-event charges: an actor start event once per run (apify-actor-start), a dataset item event for every product row returned (apify-default-dataset-item, per row), and a smaller detail-enrichment event for each returned product whose page was fetched for full detail and/or reviews (per pushed product, when Fetch full product detail or Fetch reviews is on). Fetch reviews is on by default, so a normal run already pays that surcharge for every product it returns; turn Fetch details and Fetch reviews off if you only need the listing-card fields (price, discount, rating). Products suppressed by incremental mode (UNCHANGED, with Emit unchanged off) are never billed, even when their page had to be fetched to check for changes. Proxy usage on the backup connection is separate and billed by Apify to your account. The Pricing tab shows the current rates, and Max items caps the size of any run.

Is it legal to scrape Fnac?

This actor collects only publicly available product data. You are responsible for how you use it: follow Fnac's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution.

Can I get only new or changed products on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new and updated products, unchanged ones are not billed, and a product only comes back marked REAPPEARED if an earlier run had Emit expired on and had already completed a full scan that marked it gone.

How do multiple brands work?

Each brand in the list gets its own search pass, and results share the maxItems cap.

Why does a pasted product link always fetch the full page?

A single product link has no listing card to fall back on, so the actor always reads the full product page for it, regardless of the Fetch full product detail toggle, to get any data at all. Note that this means it never carries the listing-card discount fields (originalPrice, discountAmount, discountPercent, isOnSpecial, promoLabel), which always come back null there. The detail-enrichment charge itself is still gated by the toggles: it only applies when Fetch full product detail actually finds and adds data, or when Fetch reviews successfully reads the reviews endpoint at all, even if that product happens to have zero reviews.

Why did my run fail instead of returning an empty dataset?

If Fnac refuses every request, or serves a page that declares results but returns none of the actual product cards, the run stops with a clear connection message instead of quietly returning nothing. Run it again in a few minutes. A search that genuinely matched nothing still succeeds, with a message saying so.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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