We extract product catalogues, dynamic pricing, store-level availability, and technical specifications from Conforama. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from conforama.fr. All fields typed and schema-versioned.
"product_id": "748392", "sku": "C-748392", "title": "Canapé d'angle convertible 4 places gris", "brand": "Bobochic", "price": 599.99, "eco_participation_fee": 18.5, "discount_percentage": 25, "energy_class": "None", "web_exclusive": true
| # | product_id | sku | title | brand | category_path | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from conforama.fr. All fields typed and schema-versioned.
"product_id": "748392", "current_price": 599.99, "base_price": 799.99, "currency": "EUR", "global_stock_status": "IN_STOCK", "delivery_cost_estimate": 49.0, "click_and_collect_eligible": true, "scraped_at": "2026-05-12T09:14:00Z"
| # | product_id | current_price | base_price | currency | discount_active | promo_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications objects from conforama.fr. All fields typed and schema-versioned.
"product_id": "748392", "dimensions_cm": "240 x 160 x 85", "weight_kg": 85.0, "colour": "Gris", "assembly_required": true, "number_of_packages": 3, "repairability_index": "None", "warranty_months": 24
| # | product_id | dimensions_cm | weight_kg | materials | colour | warranty_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Availability objects from conforama.fr. All fields typed and schema-versioned.
"product_id": "748392", "store_id": "104", "store_name": "Conforama Paris Pont Neuf", "postal_code": "75001", "stock_status": "LOW_STOCK", "quantity_available": 2, "pickup_available_date": "2026-05-13", "display_model_available": true
| # | product_id | store_id | store_name | postal_code | city | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from conforama.fr. All fields typed and schema-versioned.
"review_id": "REV-99384", "product_id": "748392", "rating": 4, "verified_purchase": true, "review_date": "2026-04-18", "title": "Bon rapport qualité prix", "text": "Montage facile, assise un peu ferme au début.", "helpful_votes": 12
| # | review_id | product_id | author_name | rating | review_date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles Conforama's specific e-commerce structures: marketplace vs first-party listings, store-level inventory checks, complex furniture specifications, and strict European anti-bot measures.
Extract precise dimensions, materials, colours, weight, and assembly requirements. Essential for spatial planning and catalogue parity.
Capture base price, promotional price, and the mandatory French eco-participation fees separated out for accurate cost modelling.
Query stock levels across all physical Conforama stores in France. Track local availability and click-and-collect lead times.
Distinguish between products sold directly by Conforama and those offered by third-party marketplace sellers, including seller IDs.
Extract European energy class ratings (A to G) and the French repairability index for electronics and home appliances.
Capture package counts, individual box dimensions, and estimated home delivery costs to calculate total landed prices.
Extract paginated customer reviews, star ratings, and verified purchase flags to monitor product sentiment and quality issues.
Run continuous pipelines with hash-based diffing. Receive updates only when prices drop, stock shifts, or new reviews appear.
Bypass strict European scraping protections using residential proxies from French ISPs and advanced TLS fingerprinting.
Brief in. Clean data out.
Provide Conforama category URLs, search terms, or specific SKUs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, French proxy rotation, session management, and CAPTCHA handling.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
French retail sites employ aggressive bot protection and complex frontend architectures. Here is how we maintain stable data flows.
Conforama.fr uses stringent WAF and bot protection typical of major French retailers. We route requests through residential proxies located in France, matching local ASN profiles and mimicking legitimate browser TLS fingerprints to avoid blocks.
Store-level stock availability and dynamic pricing modules are loaded asynchronously via JavaScript. We use Playwright to execute these scripts, wait for network idle states, and capture the hydrated DOM.
Furniture specifications vary wildly between couches and washing machines. Our extractors use flexible fallback chains and regex patterns to normalise dimensions, weights, and energy ratings into a consistent schema regardless of the product category.
Where possible, we intercept the internal GraphQL and REST API calls Conforama uses to fetch store stock and pricing. This provides cleaner data, faster execution, and lower server load than parsing HTML.
Prices on marketplace items can spike or drop due to seller errors. Our pipeline detects statistical outliers in pricing and null-rate spikes in critical fields, alerting our ops team before bad data hits your warehouse.
French furniture retailers (But, Ikea, Leroy Merlin) track Conforama's pricing and promotional calendars to adjust their own pricing strategies.
Third-party sellers monitor the Conforama marketplace for out-of-stock items, pricing gaps, and competitor assortment.
Economic analysts scrape historical price data across white goods and furniture to measure consumer price inflation in the French market.
Manufacturers monitor store-level stock availability and delivery lead times to identify supply chain bottlenecks and demand surges.
Appliance brands audit Conforama listings to ensure correct energy labels, repairability indices, and MAP (Minimum Advertised Price) compliance.
Product teams aggregate customer reviews across Conforama to identify design flaws, assembly issues, or durability concerns in specific furniture lines.
"Conforama's catalogue represents a massive segment of the French home goods market. Extracting it reliably requires navigating strict EU bot protections and complex, variant-heavy product structures."
Building a scraper for Conforama.fr is only 10% of the work. Maintaining it against WAF updates, DOM changes, and residential proxy bans is the other 90%. DataFlirt handles the operational burden of continuous extraction so your team can focus on pricing algorithms and market analysis, not infrastructure maintenance.
Everything supported by our conforama.fr scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows required for store stock queries.
We maintain pools of residential ISP proxies specific to France. Rotation happens per-request with sticky sessions where required to maintain store context.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About conforama.fr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Conforama is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, stock, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Conforama's Terms of Service and consult legal counsel for specific use cases.
We use high-quality French residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. This ensures high success rates against standard e-commerce WAFs.
Yes. We can configure the pipeline to query availability for specific postal codes or store IDs, extracting local stock quantities and click-and-collect lead times.
Yes. French law requires displaying the eco-participation tax for furniture and electronics. Our schema extracts the base price, the eco-tax, and the total price as distinct numeric fields.
Yes. We extract third-party seller listings, including seller names, ratings, and specific shipping costs, distinguishing them from items sold directly by Conforama.
We can configure pipelines to run at daily, hourly, or custom cadences. For price-matching use cases, high-frequency monitoring on a targeted list of SKUs achieves near real-time updates.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extract or continuous price monitoring across thousands of furniture SKUs — we scope, build, and operate the pipeline. Tell us what you need.
