We extract venue capacities, vendor pricing, product listings, and real wedding details from Confetti. 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 confetti.co.uk. All fields typed and schema-versioned.
"venue_id": "V-9482", "name": "Hedsor House", "county": "Buckinghamshire", "capacity_max": 150, "price_per_head": 125.0, "license_type": "Civil Ceremony"
| # | venue_id | name | region | county | postcode | capacity_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vendors objects from confetti.co.uk. All fields typed and schema-versioned.
"vendor_id": "VEN-391", "category": "Photography", "name": "Lumiere Weddings", "rating": 4.9, "review_count": 42, "starting_price": 1500.0
| # | vendor_id | category | name | region | rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shop Products objects from confetti.co.uk. All fields typed and schema-versioned.
"product_id": "PRD-9921", "title": "Gold Foil Table Numbers 1-10", "category": "Stationery", "price": 14.99, "currency": "GBP", "in_stock": true
| # | product_id | title | category | sub_category | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Real Weddings objects from confetti.co.uk. All fields typed and schema-versioned.
"article_id": "RW-482", "title": "A Rustic Barn Wedding in Cotswolds", "venue_name": "Cripps Barn", "theme": "Rustic", "wedding_date": "2025-08-14", "total_budget": "£25,000 - £30,000"
| # | article_id | title | couple_names | wedding_date | venue_name | photographer_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dresses objects from confetti.co.uk. All fields typed and schema-versioned.
"dress_id": "DR-1102", "designer": "Maggie Sottero", "silhouette": "A-Line", "neckline": "Sweetheart", "fabric": "Lace", "price_band": "£1,000 - £1,499"
| # | dress_id | designer | collection_name | silhouette | neckline | fabric |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Confetti aggregates venues, vendors, and products across the UK. Our pipeline normalises varied directory schemas, executes JavaScript for image galleries, and delivers structured records.
Extract capacities, licensing types, accommodation details, and pricing models for thousands of UK venues.
Map photographers, florists, and caterers by region, capturing contact details and service descriptions.
Track pricing, stock levels, and variant options for wedding supplies, stationery, and favours.
Parse editorial content to extract vendor lists, themes, and budgeting data from real wedding features.
Extract designers, silhouettes, fabrics, and stockist locations from the bridal fashion directory.
Capture ratings, review text, and review dates for suppliers listed on the platform.
Normalise price per head, starting prices, and package tiers across disparate vendor profiles.
Map postcodes, counties, and regions to standard geographical formats for spatial analysis.
Track new vendor registrations and venue pricing changes over time with automated diffs.
Brief in. Clean data out.
Provide target categories, regions, or specific vendor lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, UK proxy rotation, and pagination handling for confetti.co.uk.
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.
Extracting data from broad directories requires handling schema inconsistency and aggressive pagination. Here is how we maintain pipeline stability.
Directory sites frequently rate-limit data centre IPs. We route requests through UK-based residential proxies to maintain high throughput without triggering blocks.
Venue galleries and interactive pricing widgets rely heavily on client-side rendering. We execute full browser sessions to capture data hidden from standard HTTP clients.
Vendor listings on Confetti vary wildly depending on subscription tier. Our selectors use fallback chains to extract contact info and pricing regardless of the specific profile layout.
We systematically traverse category and regional filters to ensure total coverage, capturing vendors that might be hidden deep in paginated search results.
For ongoing monitoring, we maintain a hash index of last-seen values per vendor. Subsequent runs only push diffs, saving you compute and storage costs.
Analysts aggregate venue capacities and pricing to understand UK wedding costs and regional distribution.
Venues and vendors track local pricing and package offerings to remain competitive in their region.
B2B services extract contact details to target new wedding vendors and newly listed venues.
Brands extract themes, colours, and styles from Real Weddings features to forecast seasonal bridal trends.
eCommerce brands monitor Confetti shop product pricing and stock levels to optimise their own catalogues.
Secondary directories populate their databases with normalised venue and vendor specifications.
"Confetti holds the most comprehensive index of UK wedding vendors and venue specifications — but extracting it requires navigating inconsistent directory layouts and dynamic galleries."
Building a reliable pipeline for Confetti means handling highly variable vendor profiles, dynamic product catalogues, and location-based search pagination. DataFlirt manages the UK proxy rotation, JavaScript execution, and schema normalisation so you receive clean, structured venue and supplier data directly in your warehouse.
Everything supported by our confetti.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 and deduplication. Playwright handles JavaScript rendering and interaction flows for dynamic directory elements.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request to maintain high throughput without rate limits.
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 confetti.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible. DataFlirt targets only public, non-authenticated venue, vendor, and product data. We do not extract personal user data or circumvent authentication walls.
We route all requests through UK-based residential proxies, ensuring the crawlers appear as standard domestic traffic to Confetti's security systems.
Yes. We extract all publicly listed contact information, including emails, phone numbers, and external website URLs provided on the vendor profiles.
We can configure pipelines to run daily, weekly, or monthly. Real-time extraction is available for specific subsets of the shop catalogue.
Both. We maintain separate schemas for the vendor directories, venue listings, and the eCommerce shop, allowing you to extract product details alongside service providers.
Our minimum engagements typically start with a full initial extraction of a specific category (e.g., all UK venues) followed by weekly diff updates. Contact us for a scoped quote based on your exact requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vendor directory dump or continuous venue price monitoring — we scope, build, and operate the pipeline. Tell us what you need.
