We extract vendor profiles, real wedding galleries, style tags, and location metadata from Junebug Weddings. Delivered as clean JSON, CSV, or Parquet to S3.
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 junebugweddings.com. All fields typed and schema-versioned.
"vendor_id": "V-98241", "name": "Lumiere Photography", "category": "Photographer", "location": "Austin, Texas", "region": "North America", "pricing_tier": "$$$", "website_url": "https://example.com"
| # | vendor_id | name | category | location | region | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Real Weddings objects from junebugweddings.com. All fields typed and schema-versioned.
"wedding_id": "RW-4412", "title": "Modern Minimalist Austin Wedding", "date": "2025-09-14", "location": "Austin, Texas", "venue_name": "The Prospect House", "style_tags": "['modern', 'minimalist', 'industrial']", "gallery_size": 42
| # | wedding_id | title | url | date | location | venue_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Portfolio Images objects from junebugweddings.com. All fields typed and schema-versioned.
"portfolio_id": "IMG-99124", "vendor_id": "V-98241", "image_url": "https://cdn.example.com/img99124.jpg", "category_tag": "ceremony", "resolution": "1920x1080", "orientation": "landscape"
| # | portfolio_id | vendor_id | image_url | image_alt | image_title | category_tag |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Editorial Articles objects from junebugweddings.com. All fields typed and schema-versioned.
"article_id": "ART-104", "title": "Top 10 Fall Wedding Colour Palettes", "author": "Editorial Team", "publish_date": "2025-08-01", "category": "Inspiration", "tags": "['fall', 'colours', 'planning']", "comment_count": 12
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Directories objects from junebugweddings.com. All fields typed and schema-versioned.
"region_id": "REG-TX", "region_name": "Texas", "country": "USA", "vendor_count": 842, "popular_categories": "['Photographers', 'Venues']", "slug": "texas-wedding-vendors"
| # | region_id | region_name | country | vendor_count | popular_categories | top_venues |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Junebug Weddings scraper handles directory pagination, dynamic image galleries, and relational vendor mapping. We deliver structured datasets ready for analysis.
Extract vendor names, contact details, pricing tiers, and descriptions across all categories and regions.
Capture style tags, colour palettes, and location data from featured real weddings.
Resolve high-resolution image URLs from CDNs, capturing alt text and orientation metadata.
Map vendor credits found in real wedding posts back to their respective directory profiles.
Extract vendor distribution data across specific cities, regions, and countries.
Aggregate tags like boho, modern, and rustic to analyse trending wedding styles.
Scrape planning advice, trend reports, and editorial features including embedded vendor links.
Execute JavaScript to trigger infinite scroll and load complete vendor lists.
Identify new vendors joining the platform or newly published real weddings via hash diffing.
Extract publicly listed email addresses, phone numbers, and social media handles.
Brief in. Clean data out.
Specify target regions, vendor categories, or style tags. We design the extraction schema together.
We configure Scrapy crawlers, Playwright sessions, and proxy rotation to handle Junebug Weddings pagination.
Schema validation, null-rate checks, and relational mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on an agreed cadence.
Extracting relational data from visual directories requires specialised infrastructure. Here is how we build it.
Junebug Weddings relies on JavaScript for lazy-loading images and paginating vendor directories. We use Playwright to execute browser sessions, ensuring all dynamic content is fully loaded before extraction.
Thumbnails in galleries are downscaled. Our pipeline parses the CDN URL structures to extract the highest resolution image variants available for portfolio and real wedding galleries.
Real weddings list multiple vendor credits. We parse these unstructured credit blocks and map them to canonical vendor IDs, creating a relational graph of which vendors collaborate frequently.
Editorial platforms frequently update their DOM structures. We use multiple fallback chains including XPath and CSS selectors to ensure layout changes do not break your data feed.
To prevent IP bans during large-scale directory scraping, we route requests through residential proxies, distributing the load and mimicking standard user behaviour.
Marketplaces and directories aggregate vendor profiles to expand their own local service offerings.
Fashion and decor brands analyse style tags and colour palettes to forecast upcoming wedding trends.
B2B software providers targeting the wedding industry extract vendor contact details for outreach campaigns.
Hospitality groups analyse venue popularity and pricing tiers across different geographic regions.
Machine learning teams use high-quality, tagged wedding galleries to train aesthetic and style classification models.
Publishers monitor newly featured real weddings to curate their own roundups and inspiration boards.
"Junebug Weddings contains the most curated dataset of high-end wedding vendors and aesthetic metadata on the web, but extracting it requires mapping complex relational credits across thousands of galleries."
Scraping Junebug Weddings requires more than simple HTTP requests. The site relies heavily on JavaScript for infinite scroll galleries and dynamic vendor filtering. DataFlirt handles the rendering, pagination, and complex relational mapping between real weddings and vendor credits, delivering clean, normalised data to your warehouse.
Everything supported by our junebugweddings.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 manages JavaScript rendering and infinite scroll execution for dynamic galleries.
Custom parsing logic connects unstructured text mentions in real weddings to structured vendor directory profiles, building a complete relational graph.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with state stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About junebugweddings.com 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 and real wedding galleries. We do not extract private messages or user accounts.
We deploy Playwright browser sessions to execute the necessary JavaScript, simulating scroll events to ensure all images and vendor profiles load before extraction.
Yes. We parse the image CDN URLs to strip thumbnail parameters, delivering the highest resolution asset available on the platform.
Yes. Our pipeline extracts the vendor credit blocks from real wedding features and attempts to map them to canonical vendor IDs within the directory.
We typically run directory extractions on a weekly or monthly cadence to capture new vendors and recently published editorial content. Custom schedules are available.
We extract all publicly listed contact details present on the vendor profile, including website URLs, public email addresses, and social media handles.
We price based on extraction volume and frequency. Contact us with your target regions and categories for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete directory export or continuous monitoring of new real weddings, we build and operate the pipeline. Tell us what you need.
