We extract A-List vendor directories, venue profiles, real wedding galleries, and event metadata from 100Layercake. 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 100layercake.com. All fields typed and schema-versioned.
"vendor_id": "v-84920", "name": "Wandering Floral Design", "category": "Florist", "location": "Los Angeles, CA", "instagram_handle": "@wanderingflorals", "featured_weddings_count": 12, "website_url": "https://wanderingfloral.example.com"
| # | vendor_id | name | category | location | website_url | instagram_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Real Weddings objects from 100layercake.com. All fields typed and schema-versioned.
"post_id": "rw-5921", "title": "Modern Desert Wedding in Joshua Tree", "publish_date": "2023-10-14", "location": "Joshua Tree, California", "style_tags": "['desert', 'modern', 'boho']", "colour_palette": "['terracotta', 'sage', 'cream']", "image_count": 45
| # | post_id | title | publish_date | location | style_tags | colour_palette |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venues objects from 100layercake.com. All fields typed and schema-versioned.
"venue_id": "vn-1044", "name": "The Fig House", "city": "Los Angeles", "state": "CA", "capacity_max": 250, "venue_type": "Event Space", "setting": "Indoor/Outdoor", "website_url": "https://fighousela.example.com"
| # | venue_id | name | city | state | capacity_max | venue_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Image Galleries objects from 100layercake.com. All fields typed and schema-versioned.
"image_id": "img-993821", "post_id": "rw-5921", "image_url_highres": "https://100layercake.com/wp-content/uploads/2023/10/desert-arch.jpg", "category": "Ceremony Backdrop", "width": 1200, "height": 1800, "credit_name": "Sarah Smith Photography"
| # | image_id | post_id | image_url_highres | alt_text | category | dominant_colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Blog Posts & DIY objects from 100layercake.com. All fields typed and schema-versioned.
"post_id": "diy-412", "title": "How to make a dried floral installation", "author": "Jillian Clark", "category": "DIY", "tags": "['floral', 'backdrop', 'tutorial']", "step_count": 6, "comment_count": 14
| # | post_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 100Layercake scraper extracts structured vendor directories, nested event metadata, and high-resolution image galleries with complete credit mapping.
Extract full vendor profiles including names, categories, locations, website URLs, and Instagram handles from the A-List directory.
Capture event titles, dates, locations, and descriptive text from real wedding features, structured into clean database rows.
Extract venue capacities, settings, locations, and contact information from the venue directory.
Extract high-resolution image URLs, alt text, and dimensions from lazy-loaded blog galleries.
Parse unstructured blog text to map specific vendors and photographers to the events they serviced.
Extract style tags, categorisation labels, and colour palettes associated with featured events.
Parse tutorial posts into structured step-by-step arrays, including materials lists and instructional text.
Extract embedded Instagram, Pinterest, and Facebook links for cross-platform vendor tracking.
Run continuous pipelines to capture new blog posts, vendor additions, and venue updates as they are published.
Brief in. Clean data out.
Provide category URLs, vendor lists, or specific post types. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for 100layercake.com.
Schema validation, null-rate checks, and credit mapping accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting visual-heavy blogs requires handling complex DOM structures, lazy-loaded image galleries, and unstructured vendor credits.
Vendor credits in blog posts are often unstructured text blocks. We use regex patterns and NLP to parse these blocks into structured key-value pairs, linking specific roles (e.g., Florist) to the correct vendor entity.
100Layercake uses infinite scroll and lazy-loading for large image galleries. Our Playwright instances execute the necessary JavaScript and scroll events to ensure all images are hydrated in the DOM before extraction.
WordPress themes often serve compressed thumbnails by default. Our pipeline parses the srcset attributes to extract the highest resolution CDN URL available for every image.
Blog tags can be messy. We normalise category strings and style tags into standard arrays, ensuring your downstream database remains clean and queryable.
Content-heavy sites change layouts frequently. We monitor selector success rates and trigger alerts if WordPress theme updates alter the DOM structure, deploying fixes before data drops occur.
B2B SaaS companies targeting wedding professionals use extracted A-List directories to build targeted outreach lists.
Hospitality groups track venue capacities, settings, and featured events to benchmark against local competitors.
Retailers and designers analyse colour palettes and style tags across real weddings to forecast upcoming seasonal trends.
Marketplaces populate their local vendor and venue directories with structured data extracted from 100Layercake profiles.
Machine learning teams use high-resolution wedding galleries categorised by style to train aesthetic classification models.
Marketing agencies correlate featured vendors with their Instagram handles to analyse cross-platform engagement metrics.
"100Layercake holds the definitive graph of event vendors, venues, and visual inspiration - but extracting structured relational data from blog posts requires deep DOM parsing."
Most teams underestimate the investment required: reliable blog scraping requires handling infinite scroll galleries, unstructured vendor credits, and constant WordPress theme updates. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our 100layercake.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, deduplication, and retry logic. Playwright handles JavaScript rendering, infinite scroll, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US 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 100layercake.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from 100Layercake is generally permissible under applicable law. DataFlirt targets only public, non-authenticated vendor profiles, venue specifications, and blog posts. We do not extract personal user data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use Playwright to execute full browser sessions, triggering the necessary scroll events and JavaScript execution to ensure all image nodes are hydrated in the DOM before we extract the URLs.
Yes. We parse the srcset attributes within the image tags to identify and extract the highest resolution CDN URL available, rather than capturing compressed thumbnails.
We use custom regex patterns and NLP to parse unstructured credit blocks at the end of blog posts. While highly accurate, we continuously monitor and refine these patterns to account for variations in how authors format their text.
Yes. We can configure a backfill pipeline to traverse the archive and extract historical real weddings, DIY posts, and venue features dating back to the site's inception.
Our minimum engagement starts at a full extraction of the A-List vendor directory or a defined historical backfill of blog posts. Contact us with your specific data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vendor directory dump or a continuous feed of new wedding inspiration galleries - we scope, build, and operate the pipeline. Tell us what you need.
