We extract vendor listings, pricing tiers, venue capacities, real wedding features, and verified reviews from EasyWeddings. 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 easyweddings.com.au. All fields typed and schema-versioned.
"vendor_id": "EW-VEN-9382", "name": "The Langham Melbourne", "category": "Wedding Venues", "region": "Melbourne CBD", "state": "VIC", "rating": 4.9, "review_count": 142, "min_price": 180.0
| # | vendor_id | name | category | region | state | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Packages objects from easyweddings.com.au. All fields typed and schema-versioned.
"vendor_id": "EW-VEN-9382", "package_name": "Premium Winter Package", "price": 210.0, "currency": "AUD", "guests_included": 100, "extra_guest_price": 200.0, "duration_hours": 5.5
| # | vendor_id | package_name | price | currency | guests_included | extra_guest_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Verified Reviews objects from easyweddings.com.au. All fields typed and schema-versioned.
"review_id": "REV-883910", "vendor_id": "EW-VEN-9382", "couple_name": "Sarah & James", "wedding_date": "2023-11-14", "rating": 5.0, "review_text": "Absolutely stunning venue and impeccable service.", "verified_purchase": true
| # | review_id | vendor_id | couple_name | wedding_date | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venue Specifications objects from easyweddings.com.au. All fields typed and schema-versioned.
"vendor_id": "EW-VEN-9382", "venue_type": "Hotel", "max_seated": 250, "max_cocktail": 400, "accommodation_available": true, "catering_type": "In-house", "curfew_time": "23:30"
| # | vendor_id | venue_type | max_seated | max_cocktail | accommodation_available | catering_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Real Weddings objects from easyweddings.com.au. All fields typed and schema-versioned.
"article_id": "RW-44921", "couple_name": "Emma & Liam", "location": "Yarra Valley, VIC", "theme": "Rustic Elegance", "vendor_list": "['EW-VEN-112', 'EW-PHO-443']", "wedding_date": "2023-09-02", "color_palette": "['Burgundy', 'Gold', 'Navy']"
| # | article_id | couple_name | wedding_date | location | budget | vendor_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our EasyWeddings scraper processes complex vendor profiles, dynamic pricing widgets, and deep review pagination to deliver a structured map of the AU wedding market.
Extract categories, regions, vendor names, aggregated ratings, and profile URLs across all Australian states.
Capture minimum spend requirements, package tiers, per-head costs, and specific inclusions listed on vendor profiles.
Extract seated versus cocktail capacity numbers, curfew limits, accommodation availability, and catering restrictions.
Scrape verified couple reviews, star ratings, wedding dates, and vendor response text across deeply paginated profiles.
Track organic versus paid vendor positions within specific regional category searches to analyse directory visibility.
Extract vendor networks and relationships from Real Wedding feature articles to map industry partnerships.
Identify vendors holding Certificate of Excellence or 5-star vendor badges to filter for premium providers.
Extract high-resolution image URLs, video links, and linked social media profiles from vendor galleries.
Normalise state, region, suburb, and exact map coordinates for geospatial analysis of vendor density.
Maintain a hash index of vendor data and only emit records when vendors update pricing or add new packages.
Brief in. Clean data out.
Provide target categories, regions, or specific vendor URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, AU proxy rotation, and session management for easyweddings.com.au.
Schema validation, null-rate checks, and sample vendor profile extraction before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from highly visual, heavily fragmented vendor profiles requires specialised infrastructure. Here is how we build it.
Directory sites monitor traffic origins to block scrapers. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints to ensure uninterrupted access to regional search results.
Many vendor profiles load pricing widgets, availability calendars, and extensive image galleries via JavaScript. We run full Playwright browser sessions to trigger lazy-loading and hydrate all data points.
Vendor profiles on EasyWeddings vary heavily depending on the vendor's subscription tier. Our selector strategy uses multiple fallback chains to capture data regardless of the specific profile template.
Popular venues have hundreds of reviews spread across deep pagination structures. Our crawlers systematically traverse these pages to capture the complete historical review corpus for sentiment analysis.
Wedding vendor pricing fluctuates seasonally. We maintain a hash index of last-seen values per field, pushing only diffs when a vendor updates their packages, saving downstream processing compute.
Analyse vendor density, category saturation, and average pricing across different Australian regions to identify expansion opportunities.
Extract structured vendor details to build targeted outreach lists for wholesale wedding supplies, software, or insurance.
Monitor competitor venue packages, minimum spend requirements, and inclusion structures to optimise your own pricing strategy.
Analyse Real Weddings data and vendor portfolios to identify emerging themes, popular colour palettes, and seasonal shifts in demand.
Compile historical review data to train sentiment analysis models on what Australian couples value most in wedding service providers.
Keep secondary event planning directories or regional tourism boards updated with active, verified wedding vendors.
"EasyWeddings holds the definitive graph of the Australian wedding industry — extracting it requires navigating complex, unstructured vendor portfolios."
Most teams underestimate the investment required: reliable EasyWeddings scraping requires AU residential proxies, full JavaScript rendering for galleries, and handling heavily fragmented vendor profiles. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our easyweddings.com.au 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 AU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 easyweddings.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated vendor profiles, pricing data, and reviews. We do not extract private couple planning data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use Australian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
Yes. We extract structured pricing data including minimum spend requirements, per-head costs, package names, inclusions, and duration limits listed on the vendor profiles.
For directory synchronisation, we typically configure weekly or monthly runs to capture new vendors and pricing updates. Full catalogue refreshes complete within a 12-24 hour window.
We extract contact information that is publicly visible on the vendor profile, such as website URLs, linked social media accounts, and public phone numbers. We do not bypass inquiry forms to scrape hidden emails.
Yes. We can track organic versus promoted positions for specific categories and regions (e.g., 'Wedding Photographers Melbourne') to analyse directory visibility over time.
Absolutely. We provide a sample run of up to 50 vendor profiles as part of the pre-engagement scoping process so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vendor directory dump or continuous pricing updates across AU regions — we scope, build, and operate the pipeline. Tell us what you need.
