We extract venue catalogues, vendor pricing models, capacity metrics, and review corpora from Mariages.net. 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 Venues objects from mariages.net. All fields typed and schema-versioned.
"vendor_id": "v149201", "name": "Chateau de la Ligne", "capacity_max": 250, "price_starting": 4500.0, "rating": 4.9, "review_count": 84, "region": "Gironde"
| # | vendor_id | name | category | region | city | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Vendors objects from mariages.net. All fields typed and schema-versioned.
"vendor_id": "p83912", "name": "Studio Marie Photographie", "category": "Photo et vidéo", "price_starting": 1200.0, "response_time": "24h", "rating": 5.0, "review_count": 42
| # | vendor_id | name | category | sub_category | region | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from mariages.net. All fields typed and schema-versioned.
"review_id": "r991023", "vendor_id": "v149201", "rating_overall": 5.0, "review_text": "Lieu magique pour notre mariage. Le domaine est magnifiquement entretenu.", "wedding_date": "2025-06-14", "date_posted": "2025-07-02"
| # | review_id | vendor_id | author_name | wedding_date | rating_overall | rating_quality |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Promotions objects from mariages.net. All fields typed and schema-versioned.
"offer_id": "o4412", "vendor_id": "p83912", "title": "Remise Hivernale", "discount_pct": 10, "valid_until": "2026-03-31", "conditions": "Valable pour les mariages entre novembre et mars."
| # | offer_id | vendor_id | title | discount_pct | discount_abs | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Rankings objects from mariages.net. All fields typed and schema-versioned.
"keyword": "traiteur mariage", "region": "Ile-de-France", "position": 3, "vendor_id": "c55190", "name": "Gourmet Reception", "featured_badge": true, "scraped_at": "2026-05-12T08:14:00Z"
| # | keyword | region | category | position | vendor_id | name |
|---|---|---|---|---|---|---|
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Our Mariages.net scraper captures the entire vendor directory: venue specifications, dynamic pricing, promotional offers, and the review corpus. We handle pagination, layout variations, and regional filtering.
Extract maximum guest counts, available spaces (indoor/outdoor), accommodation availability, and catering restrictions for every listed venue.
Capture starting prices, menu costs per head, and package structures across all vendor categories.
Full review text, category ratings (quality, response, value, flexibility), wedding dates, and vendor replies paginated across all listings.
Track stated response times and engagement metrics, useful for identifying active versus dormant vendor profiles.
Extract historical Wedding Awards badges and recognition years to identify top performing regional vendors.
Monitor active discounts, percentage reductions, and specific terms and conditions tied to seasonal bookings.
Crawl by specific departments or regions to build targeted datasets for local market analysis.
Extract structured Q&A pairs from vendor profiles covering payment terms, travel policies, and minimum booking requirements.
Configure pipelines at monthly or quarterly cadences to track new vendor registrations and pricing adjustments over time.
Brief in. Clean data out.
Provide target regions, vendor categories, or specific profile URLs. We design the extraction schema together.
We configure Scrapy crawlers, handle regional pagination, and manage request routing to bypass rate limits.
Schema validation, null-rate checks, and location normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory scraping involves deep pagination and inconsistent vendor profile structures. Here is how we ensure data completeness.
Directory categories often span hundreds of pages. We implement stateful crawlers that handle pagination tokens and parameter variations to ensure no vendor is missed deep in the results.
A photographer profile differs structurally from a venue profile. Our schema uses conditional parsing logic based on the vendor sub-category to normalise fields like capacity, pricing, and amenities.
Certain fields, such as phone numbers or full descriptions, require click-to-reveal interactions. We use Playwright to trigger these DOM events and extract the hydrated data.
Aggressive crawling triggers IP blocks. We distribute requests across French residential and mobile proxy pools, matching local user request patterns to maintain high throughput.
Vendor descriptions and FAQs contain varied formatting. We strip HTML, normalise whitespace, and standardise price formats before the data reaches your warehouse.
Wholesale suppliers, software vendors, and insurance providers extract vendor details to build targeted outreach lists across France.
Event planners and venue operators analyse regional pricing baselines and package structures to optimise their own commercial positioning.
Real estate and private equity firms track venue density, review velocity, and capacity constraints to identify underserved regions for acquisition.
Caterers and photographers monitor competitor promotional offers, response times, and new award acquisitions.
Aggregating review corpora allows hospitality groups to identify common pain points in specific vendor categories.
Global event platforms sync French vendor data to build out local market presence and enrich their own catalogues.
"Mariages.net holds the definitive dataset for the French wedding economy, mapping out pricing, capacity, and reputation across tens of thousands of local businesses."
Extracting this data reliably requires handling aggressive rate limits, JavaScript-rendered contact details, and deeply paginated directory structures. DataFlirt manages the proxy rotation and session handling, delivering structured regional vendor intelligence directly to your warehouse.
Everything supported by our mariages.net 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 and interaction flows for hidden data.
We route requests through French residential IPs to match expected geographic traffic patterns and avoid automated blocking.
Pipelines run on AWS Lambda and ECS. 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 mariages.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vendor information and reviews is generally permissible under applicable law, provided it does not breach specific copyright protections or extract personally identifiable information of private users. We target public business directory data. Clients should review terms of service and consult legal counsel for specific use cases.
Mariages.net primarily uses internal contact forms rather than exposing direct email addresses. We extract phone numbers, website URLs, and physical addresses. Emails are only captured if a vendor explicitly writes them in their public description.
Yes. The underlying pipeline architecture can be adapted for Bodas.net, Matrimonio.com, WeddingWire, and TheKnot, allowing you to build unified datasets across multiple European and US markets.
We use French residential proxy pools and enforce request delays that mimic human browsing patterns. If a block occurs, the request is automatically retried through a clean IP address.
For full directory crawls, we typically recommend a monthly or quarterly cadence. Delta updates for specific regional subsets or targeted vendor lists can be configured to run daily or weekly.
Yes. We can input specific keywords and regions to track which vendors appear in top positions, capturing featured badges and organic rank over time.
Yes. We provide a sample run of up to 500 vendor profiles as part of the pre-engagement scoping process to validate field completeness and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or continuous tracking of vendor pricing and reviews — we scope, build, and operate the pipeline. Tell us what you need.
