We extract banquet halls, photographers, pricing tiers, availability signals, and client reviews from Bodas.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 Vendor Profiles objects from bodas.net. All fields typed and schema-versioned.
"vendor_id": "v748291", "name": "Finca Los Arcos", "category": "Banquetes", "province": "Madrid", "rating": 4.8, "review_count": 142, "starting_price": 120.0, "capacity": 350
| # | vendor_id | name | category | province | city | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from bodas.net. All fields typed and schema-versioned.
"review_id": "r992831", "vendor_id": "v748291", "user_name": "Laura G.", "wedding_date": "2025-09-12", "rating_quality": 5.0, "rating_value": 4.5, "review_text": "Incredible service and beautiful gardens for the ceremony."
| # | review_id | vendor_id | user_name | wedding_date | rating_quality | rating_response |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Menus objects from bodas.net. All fields typed and schema-versioned.
"vendor_id": "v748291", "menu_name": "Menu Premium", "price_per_person": 150.0, "minimum_guests": 100, "open_bar_hours": 4, "vegetarian_option": true, "special_menus": "['Vegan', 'Gluten-Free']"
| # | vendor_id | menu_name | price_per_person | minimum_guests | maximum_guests | courses_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Real Weddings objects from bodas.net. All fields typed and schema-versioned.
"story_id": "rw10293", "vendor_id": "v748291", "couple_names": "Carlos & Marta", "wedding_date": "2024-06-15", "location": "Madrid", "guest_count": 120, "story_text": "We wanted an outdoor wedding with a rustic feel."
| # | story_id | vendor_id | couple_names | wedding_date | location | budget_estimate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Bridal Fashion objects from bodas.net. All fields typed and schema-versioned.
"item_id": "d48291", "brand": "Pronovias", "collection": "Atelier", "season": "2025", "dress_style": "Classic", "silhouette": "A-Line", "fabric": "Mikado"
| # | item_id | brand | collection | season | dress_style | neckline |
|---|---|---|---|---|---|---|
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Our Bodas.net scraper handles every layer of the directory: vendor profiles, dynamic pricing tiers, granular review scores, and bridal catalogues, all with session management and anti-bot circumvention built in.
Capture names, categories, contact details, capacity limits, and descriptions for thousands of venues and suppliers across all Spanish provinces.
Extract starting prices, per-person menu costs, minimum guest requirements, and inclusion details like open bar hours.
Full review text, granular sub-ratings for quality and value, wedding dates, and vendor responses paginated across all profiles.
Extract 'Bodas Reales' stories including couple details, vendor attribution, guest counts, and high-resolution image URLs.
Scrape dress attributes including silhouette, neckline, fabric, and designer collections from the dedicated fashion sections.
Monitor active discounts, special offers, and promotional packages advertised by vendors to track market pricing strategies.
Target extractions by specific autonomous communities, provinces, or municipalities to build hyper-local datasets.
Capture vendor gallery image URLs, promotional video links, and portfolio assets to enrich directory listings.
Run one-off bulk exports or configure continuous pipelines at monthly or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target provinces, vendor categories, or specific profile URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for bodas.net.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites invest heavily in scraping detection to protect their vendor graphs. Here is how we stay resilient.
Bodas.net uses rate limiting and bot detection to block aggressive crawlers. Our system uses Spanish residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Vendor lists span hundreds of pages across nested geographic and category taxonomies. We maintain stateful traversal queues to ensure zero dropped records during deep pagination.
Certain pricing details and contact reveals are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
Directory layouts change frequently. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and text-pattern matching, so a layout change does not break your data pipeline.
For large vendor catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Event venues and caterers monitor regional pricing tiers and promotional discounts to optimise their own pricing strategies.
B2B suppliers in the wedding industry extract vendor contact lists to target prospective partners across new provinces.
Agencies track review velocity and granular ratings to identify top-performing vendors for exclusive partnerships.
Fashion retailers analyse bridal dress catalogues to forecast popular silhouettes, fabrics, and designer collections.
Niche regional wedding directories aggregate baseline vendor data to bootstrap their own marketplace listings.
Hospitality groups run NLP models on client reviews to identify common complaints and service gaps in the local market.
"Bodas.net holds the definitive graph of the Spanish wedding industry, but accessing vendor pricing and review data at scale requires purpose-built infrastructure."
Extracting structured data from Bodas.net involves navigating complex geographic taxonomies, dynamic pagination, and anti-bot rate limits. DataFlirt handles the proxy rotation, JavaScript hydration, and DOM parsing so your team can focus on market analysis rather than crawler maintenance.
Everything supported by our bodas.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, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across European regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda for burst tasks and Kubernetes for sustained loads. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About bodas.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from directories is generally permissible under applicable law, targeting only public, non-authenticated vendor, pricing, and review data. We do not extract personal user data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use Spanish residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403 or CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. We configure pipelines to traverse the entire geographic taxonomy, capturing regional pricing variations across all autonomous communities and municipalities listed on the platform.
Full catalogue refreshes at a weekly or monthly cadence typically complete within a 12 to 24 hour window depending on the target province count. Delta runs can be configured to capture daily price updates.
Yes. We extract the narrative text, vendor attributions, budget estimates, and high-resolution image URLs from the Bodas Reales section to enrich vendor profiles.
Our smallest packages start at a defined regional vendor list with monthly delivery. For national catalogues or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional directory dump or a continuous price-monitoring feed across Spain, we scope, build, and operate the pipeline. Tell us what you need.
