We extract vendor profiles, venue capacities, pricing tiers, reviews, and gallery metadata from Zankyou across 23 countries. 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 zankyou.com. All fields typed and schema-versioned.
"vendor_id": "ZK-VN-84729", "name": "Villa Aurelia", "category": "Wedding Venues", "sub_category": "Villas", "country_domain": "zankyou.it", "location_city": "Rome", "rating": 4.9, "review_count": 142
| # | vendor_id | name | category | sub_category | country_domain | location_city |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Venue Details objects from zankyou.com. All fields typed and schema-versioned.
"vendor_id": "ZK-VN-84729", "venue_type": "Historic Villa", "min_guests": 50, "max_guests": 400, "catering_options": "In-house and external", "exclusive_use": true, "price_per_plate": 150.0, "accommodation": false
| # | vendor_id | venue_type | min_guests | max_guests | indoor_capacity | outdoor_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from zankyou.com. All fields typed and schema-versioned.
"review_id": "REV-993812", "vendor_id": "ZK-VN-84729", "reviewer_name": "Elena & Marco", "wedding_date": "2025-06-14", "rating": 5.0, "review_text": "A magical setting for our special day. The staff were impeccable.", "helpful_votes": 12, "language": "it"
| # | review_id | vendor_id | reviewer_name | wedding_date | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Real Weddings objects from zankyou.com. All fields typed and schema-versioned.
"gallery_id": "RW-48291", "vendor_id": "ZK-VN-84729", "couple_names": "Sophie & Thomas", "location": "Rome, Italy", "image_count": 45, "style_tags": "['Classic', 'Elegant', 'Outdoor']", "gallery_url": "https://www.zankyou.it/real-weddings/sophie-thomas"
| # | gallery_id | vendor_id | couple_names | wedding_date | location | photographer_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dress Catalogue objects from zankyou.com. All fields typed and schema-versioned.
"dress_id": "DR-77382", "brand": "Pronovias", "collection": "Atelier", "season": "2026", "silhouette": "Mermaid", "neckline": "Sweetheart", "fabric": "Crepe and Lace", "image_urls": "['https://img.zankyou.com/dress1.jpg']"
| # | dress_id | brand | collection | season | silhouette | neckline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Zankyou scraper handles regional domains, multi-lingual category structures, and dynamic media loading to deliver clean, normalised vendor data.
Extract venues, photographers, caterers, and planners across 23 international Zankyou domains.
Capture guest limits, indoor/outdoor spaces, accommodation details, and exclusive use policies.
Extract starting prices, menu costs per plate, and package tiers for accurate market mapping.
Full review text, star ratings, wedding dates, and vendor response text paginated across all profiles.
Map varied categories and amenity tags across Spanish, Italian, French, and English portals into a unified schema.
Extract metadata from real wedding features, including vendor networks, locations, and style tags.
Scrape dress collections, designers, silhouettes, and fabric details from the fashion section.
Capture high-resolution image URLs for vendor portfolios and dress catalogues without downloading heavy files.
Run continuous pipelines at weekly or monthly cadences to track new vendor registrations and reviews.
Brief in. Clean data out.
Provide target countries, vendor categories, or specific regions. We design the extraction schema together.
We configure Scrapy crawlers, regional proxy routing, and Playwright sessions for dynamic content.
Schema validation, cross-language mapping checks, and sample profile reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Zankyou uses regional domains and lazy-loading. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Country-specific Zankyou domains require localised IP routing to access regional vendor lists reliably. We maintain proxy pools across European and Latin American regions to match the target domain.
Vendor portfolios and dress catalogues rely on heavy lazy-loading and asynchronous API calls. We run full Playwright browser sessions to trigger lazy-loads and capture complete media lists.
A 'Villa' in Italy and a 'Finca' in Spain represent similar venue types. We map varied amenity icons and category names across 23 different languages into a single, queryable English schema.
Highly-rated vendors have hundreds of reviews spread across paginated endpoints. Our crawlers traverse the entire review history, capturing text, ratings, and vendor responses.
For large vendor directories, we maintain a hash index of last-seen values. Subsequent runs only push new reviews or updated pricing tiers, reducing downstream processing load.
Event planning platforms enrich their own directories with venue capacities, pricing tiers, and vendor descriptions.
Hospitality investors analyse venue density, capacity averages, and pricing trends across different European and LatAm regions.
Venues monitor local competitors for pricing changes, new amenities, and review sentiment to adjust their own offerings.
B2B wedding suppliers identify highly-rated photographers, caterers, and planners for targeted partnership outreach.
Fashion retailers analyse the bridal dress catalogue to predict popular silhouettes, necklines, and fabrics.
ML teams train recommendation engines for wedding planning using real wedding gallery metadata and style tags.
"Zankyou holds the most comprehensive localised wedding vendor data across Europe and Latin America, but extracting it requires navigating 23 distinct regional domains."
Most teams underestimate the complexity of scraping international directories. Zankyou uses regional domains, varied category structures, and heavy lazy-loading for media. DataFlirt absorbs that complexity, standardising multi-lingual vendor data into a single, queryable schema so your team can focus on analysis rather than maintenance.
Everything supported by our zankyou.com 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 deduplication. Playwright handles JavaScript rendering and lazy-load triggers for image galleries and dynamic reviews.
We maintain pools of residential ISP proxies across EU and LatAm regions. Localised IP routing ensures reliable access to country-specific Zankyou domains.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling across 23 different regional extraction tasks, storing normalised state in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About zankyou.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vendor directories, reviews, and pricing data is generally permissible. We do not extract private user registries, guest lists, or bypass authenticated user areas. Clients should consult legal counsel for their specific data usage.
We use localised residential proxies to access each regional domain (e.g., zankyou.it, zankyou.es). Our extraction schema maps region-specific categories and amenities into a single, unified English format.
Yes. We extract guest capacity ranges, venue types, exclusive use policies, and pricing tiers including minimum menu costs per plate, where publicly listed on the profile.
We typically configure Zankyou pipelines to run weekly or monthly, capturing new vendor registrations, updated pricing, and new reviews across the selected regions.
We extract the high-resolution image URLs from vendor portfolios and dress catalogues. We do not download or host the raw image files, reducing bandwidth costs and storage bloat.
Yes. We provide a sample run of up to 500 vendor profiles from your target country during the scoping phase, allowing you to validate the schema before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vendor catalogue dump or a continuous review-monitoring feed across 23 countries, we scope, build, and operate the pipeline. Tell us what you need.
