We extract jewelry listings, material specifications, pricing, stock levels, and collection metadata from Agatha.fr. 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 agatha.fr. All fields typed and schema-versioned.
"sku": "02230114-057", "title": "Collier ras de cou maillons dorés", "category": "Colliers", "material": "Laiton doré à l'or fin", "price": 69.0, "currency": "EUR", "in_stock": true, "url": "https://www.agatha.fr/products/collier-ras-de-cou-maillons-dores"
| # | sku | title | category | sub_category | material | price |
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Complete list of extractable fields for Pricing & Variants objects from agatha.fr. All fields typed and schema-versioned.
"sku": "02230114-057", "variant_id": "v-83921", "size": "Taille unique", "colour": "Doré", "price": 69.0, "old_price": 89.0, "discount_pct": 22, "stock_status": "in_stock"
| # | sku | variant_id | size | colour | price | old_price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Materials & Care objects from agatha.fr. All fields typed and schema-versioned.
"sku": "02230114-057", "primary_material": "Laiton", "plating": "Or fin 18k", "stone_type": "Oxyde de zirconium", "clasp_type": "Mousqueton", "weight_grams": 12.4, "warranty_months": 24
| # | sku | primary_material | plating | stone_type | clasp_type | weight_grams |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Collections objects from agatha.fr. All fields typed and schema-versioned.
"collection_id": "coll-492", "collection_name": "Collection Céleste", "release_season": "Automne/Hiver 2025", "item_count": 45, "is_limited_edition": false, "url": "https://www.agatha.fr/collections/celeste"
| # | collection_id | collection_name | release_season | designer | item_count | url |
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Complete list of extractable fields for Store Locations objects from agatha.fr. All fields typed and schema-versioned.
"store_id": "st-042", "name": "Boutique Agatha Paris Marais", "address": "24 Rue des Francs Bourgeois", "city": "Paris", "postal_code": "75003", "country": "France", "phone": "+33 1 42 77 34 52"
| # | store_id | name | address | city | postal_code | country |
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Our Agatha.fr scraper extracts the entire jewelry catalogue: pricing, materials, sizing variants, and stock status : with JavaScript rendering and anti-bot circumvention built in.
Title, description, materials, weight, images, and every metadata field Agatha surfaces, scraped at SKU level.
Capture price, old price, discount percentages, and currency data, timestamped per crawl.
Extract precise material composition, plating details, stone types, and clasp mechanisms.
Map parent products to child variants across ring sizes, necklace lengths, and metal colours.
Track in-stock status and low-stock warnings across all variants to monitor inventory depth.
Group products by seasonal collections and track new additions to specific designer lines.
Extract global boutique network data including addresses, hours, and coordinates.
Capture clean URLs for all product gallery images, normalised for direct download.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change detection.
Brief in. Clean data out.
Provide category URLs, collections, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for agatha.fr.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
E-commerce platforms deploy strict scraping countermeasures. Here is how we stay resilient.
We use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass IP blocks and rate limits.
Agatha.fr product pages rely on JavaScript for variant selection and dynamic pricing. We run full browser sessions to capture data that headless HTTP clients miss entirely.
Our selector strategy uses multiple fallback chains per field, so a frontend layout change does not break your data pipeline overnight.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Ring and bracelet sizes often load dynamically. Our crawlers interact with the DOM to hydrate all variant combinations before extraction.
Retailers monitor jewelry pricing and promotional discounts to optimise their own pricing strategies.
Merchandising teams analyse material composition and product mix to identify category whitespace.
Fashion analysts track new collection releases and discontinued lines to forecast seasonal trends.
Brands audit catalog depth and size availability across the Agatha network.
Real estate and retail strategy teams map boutique locations to understand geographic footprint.
Analysts track the retail price of brass, silver, and gold-plated items against raw material indices.
"Agatha.fr holds a precise catalogue of European jewelry trends and pricing : but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable e-commerce scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our agatha.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 and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across FR regions. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About agatha.fr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product and pricing data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour.
Full catalogue refreshes at daily cadence complete within a 2-4 hour window depending on category size.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per SKU for price and availability from the date your pipeline starts.
Our smallest packages start at a defined category list with weekly delivery. Contact us with your use case for a scoped quote.
Yes. We hydrate the frontend size selector to extract availability and pricing for every valid size combination per product.
Absolutely. We provide a sample run of up to 200 SKUs as part of the pre-engagement scoping process so you can validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
