We extract venue profiles, supplier directories, pricing packages, capacity limits, and couples' reviews from Hitched.co.uk. 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 hitched.co.uk. All fields typed and schema-versioned.
"venue_id": "V-98214", "name": "Highclere Castle", "county": "Hampshire", "capacity_max": 150, "price_from": 12500.0, "ceremony_license": true, "rating": 4.9, "review_count": 84
| # | venue_id | name | county | region | capacity_min | capacity_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Suppliers objects from hitched.co.uk. All fields typed and schema-versioned.
"supplier_id": "S-45912", "name": "Lumiere Photography", "category": "Photography", "county": "Surrey", "price_from": 1200.0, "rating": 5.0, "review_count": 142, "hitched_awards": "['2024', '2023']"
| # | supplier_id | name | category | sub_category | county | price_from |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from hitched.co.uk. All fields typed and schema-versioned.
"review_id": "R-884192", "target_id": "V-98214", "reviewer_name": "Sarah & James", "wedding_year": 2025, "star_rating": 5, "review_text": "Incredible venue. The staff were attentive from start to finish.", "date_posted": "2025-08-14T10:22:00Z"
| # | review_id | target_id | target_type | reviewer_name | wedding_month | wedding_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Packages objects from hitched.co.uk. All fields typed and schema-versioned.
"package_id": "P-1104", "venue_id": "V-98214", "package_title": "Winter Twilight Package", "price": 85.0, "currency": "GBP", "guest_minimum": 60, "inclusions": "['3-course meal', 'Prosecco toast', 'DJ']", "valid_until": "2026-03-31"
| # | package_id | venue_id | package_title | price | currency | guest_minimum |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dresses objects from hitched.co.uk. All fields typed and schema-versioned.
"dress_id": "D-4419", "designer": "Pronovias", "silhouette": "A-Line", "neckline": "Sweetheart", "fabric": "Mikado", "price_band": "£1,500 - £2,499", "stockist_count": 24
| # | dress_id | designer | collection_name | silhouette | neckline | fabric |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hitched scraper handles the entire UK wedding directory: venues, suppliers, reviews, and pricing packages. We bypass rate limits and render JavaScript to capture hidden contact details.
Extract minimum and maximum guest capacities, per-head pricing, hire fees, and accommodation details for thousands of UK venues.
Scrape photographers, florists, bands, and caterers. Capture starting prices, travel radiuses, and Hitched Wedding Award history.
Extract full review text, star ratings, wedding dates, and vendor responses across all venue and supplier profiles.
Parse structured package details, including seasonal pricing variations, guest minimums, and specific food/drink inclusions.
Extract designer names, silhouettes, necklines, fabrics, and high-resolution image URLs from the bridal wear section.
Execute JavaScript clicks to reveal hidden phone numbers, email addresses, and external website links on supplier profiles.
Extract location data, coordinates, and county-level categorisation to build regional density maps of wedding services.
Scrape the Hitched community forums for trending topics, vendor recommendations, and budget discussions.
Run continuous pipelines to detect new supplier registrations, price changes, and newly published reviews.
Brief in. Clean data out.
Provide target counties, categories, or vendor URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for hitched.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from directory sites requires navigating rate limits, dynamic rendering, and inconsistent layouts. Here is how we build resilience.
Hitched hides supplier phone numbers and website links behind JavaScript event listeners to track engagement. We use Playwright to simulate human clicks, wait for network responses, and extract the unmasked contact details.
Many search results on Hitched are bound to map viewports rather than traditional pagination. Our crawlers traverse coordinate grids systematically to ensure 100% coverage of regional suppliers without missing edge cases.
Directory sites implement strict rate limiting to prevent scraping. We route requests through UK-based residential ISP proxies, rotating IPs and TLS fingerprints to maintain high concurrency without triggering Cloudflare blocks.
A castle venue profile looks different from a solo photographer profile. We build adaptive schemas that normalise data across disparate category templates, ensuring clean, predictable output in your data warehouse.
Vendor galleries use lazy-loading and responsive image sets. We intercept the underlying JSON payloads and CDN URLs to extract the highest resolution image assets without downloading thumbnails.
Hospitality groups compare their package pricing, capacities, and review sentiment against regional competitors.
Software vendors and wholesalers extract supplier contact details to pitch CRM tools, insurance, or wholesale products.
Analysts track the growth of specific wedding categories and regional price inflation over time.
Startups train recommendation engines on Hitched venue data, pricing rules, and supplier availability.
New wedding suppliers scrape regional averages to position their starting prices and package tiers competitively.
Fashion retailers analyse bridal dress catalogues and forum discussions to forecast seasonal style trends.
"Hitched.co.uk holds the definitive dataset for the UK wedding industry, but accessing supplier pricing and capacity limits requires navigating complex search filters and dynamic map interfaces."
Extracting wedding market data requires more than simple GET requests. Hitched employs rate limiting, dynamic JavaScript rendering for contact details, and complex pagination across regional directories. DataFlirt handles the proxy rotation and browser simulation so your team can focus on market analysis rather than bot mitigation.
Everything supported by our hitched.co.uk 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 UK 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 hitched.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under UK law. DataFlirt targets only public venue profiles, supplier listings, and reviews. We do not extract personal user data from private planning accounts or circumvent authentication walls.
Hitched requires users to click buttons to reveal phone numbers and external website links. Our Playwright integration simulates these interactions at scale, capturing the unmasked data.
We can configure pipelines to run daily, weekly, or monthly. For directory data, a weekly or bi-weekly cadence is typically sufficient to capture new suppliers and price adjustments.
We extract the high-resolution source URLs for all images in vendor galleries and dress catalogues. We deliver these URLs in the structured payload, allowing your systems to download the assets directly.
Yes. We can scope the pipeline to specific regions, counties, or vendor categories (e.g., only photographers in Surrey and Kent).
Our minimum engagement covers a defined category or region extraction with regular delivery. Contact us with your specific data requirements for a custom quote.
Yes. We provide a sample run of up to 100 venue or supplier profiles during the scoping phase to ensure the schema meets your requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or a continuous venue-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.