We extract celebrity home profiles, architecture reviews, interior design features, and high-resolution image galleries from Urban Splatter. 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 Celebrity Homes objects from urbansplatter.com. All fields typed and schema-versioned.
"celebrity_name": "Tom Cruise", "property_address": "Beverly Hills, CA 90210", "estimated_value": 35000000, "square_footage": 10286, "bedrooms": 7, "bathrooms": 9, "publish_date": "2024-02-14T08:30:00Z"
| # | article_url | title | celebrity_name | property_address | estimated_value | square_footage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Architecture Articles objects from urbansplatter.com. All fields typed and schema-versioned.
"title": "Modernist Revival in Palm Springs", "author": "Sarah Jenkins", "building_type": "Residential", "architect_name": "Richard Neutra", "location": "Palm Springs, California", "category": "Architecture", "tags": "['mid-century modern', 'desert architecture']"
| # | article_url | title | author | publish_date | category | building_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Interior Design objects from urbansplatter.com. All fields typed and schema-versioned.
"title": "Minimalist Kitchen Trends 2024", "design_style": "Minimalist", "colour_palette": "['matte black', 'oak', 'white']", "room_type": "Kitchen", "author": "David Chen", "publish_date": "2024-01-22T14:15:00Z"
| # | article_url | title | design_style | colour_palette | room_type | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Image Galleries objects from urbansplatter.com. All fields typed and schema-versioned.
"high_res_url": "https://urbansplatter.com/wp-content/uploads/2024/02/living-room-full.jpg", "alt_text": "Spacious living room with floor to ceiling windows", "caption": "The main living area features panoramic ocean views", "resolution": "2400x1600", "image_type": "jpeg", "position_index": 3
| # | article_url | image_url | high_res_url | alt_text | caption | resolution |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from urbansplatter.com. All fields typed and schema-versioned.
"author_name": "Emma Thompson", "author_url": "https://urbansplatter.com/author/emma-thompson/", "article_count": 142, "role": "Senior Design Editor", "join_date": "2021-08-10", "recent_articles": "['https://urbansplatter.com/2024/03/rustic-cabin/']"
| # | author_name | author_url | bio | article_count | social_links | join_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Urban Splatter scraper parses unstructured blog posts into clean datasets, extracting property valuations, square footage, architectural styles, and high-resolution imagery.
Extract price, square footage, bedroom counts, and custom amenities from unstructured editorial text using custom regex rules.
Scrape full-resolution image URLs, bypassing CDN compression thresholds and lazy-loading mechanisms.
Parse building specs, architect names, and structural details from editorial content into structured database columns.
Map articles to specific design styles, room types, and colour palettes based on content analysis.
Track author publication frequency, topics of expertise, and bio details across the entire site.
Extract estimated property values and historical purchase prices mentioned in the text.
Parse unstructured location data into structured city, state, and zip code fields for mapping applications.
Extract full taxonomy hierarchies for every article and image gallery to maintain site structure.
Monitor new publications and update your datasets at hourly or daily cadences with change detection.
Brief in. Clean data out.
Provide categories, author URLs, or specific topics. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and custom text-parsing logic for urbansplatter.com.
Schema validation, null-rate checks, and image URL resolution testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from a WordPress-based editorial site requires advanced text parsing and image resolution techniques.
Urban Splatter embeds property specs like square footage and price within narrative paragraphs. We use custom regex patterns and natural language processing to extract these metrics into structured integer and float fields.
Blog platforms serve compressed, lazy-loaded thumbnails to users. Our pipeline rewrites CDN URLs and triggers lazy-load scripts to extract the original, high-resolution source images required for AI training or republication.
Many category pages use infinite scroll or AJAX-based pagination. We deploy Playwright headless browsers to trigger load-more events, ensuring total capture of all historical articles without missing items.
Different authors format property details differently. Our pipeline normalises currencies, converts acreage to square feet where necessary, and standardises address formats before delivery.
Editorial sites often deploy Cloudflare or similar WAFs to prevent content scraping. We utilise residential IP proxies and TLS fingerprinting to maintain access and prevent IP bans during high-volume historical backfills.
Identify high-value properties and celebrity transactions for luxury real estate prospecting.
Quantify design styles, colours, and materials over time to forecast industry trends.
Syndicate architecture and design news into industry portals and newsletters.
Build datasets of notable buildings, architects, and structural styles for academic or commercial research.
Compile labelled datasets of interior and exterior architectural photography to train computer vision models.
Analyse content velocity, author output, and keyword targeting to inform content strategy.
"Urban Splatter holds a dense archive of celebrity real estate and architectural photography, but extracting structured property data from editorial text requires precision parsing."
Most teams fail at extracting structured data from editorial blogs. Extracting property values, square footage, and high-resolution imagery from Urban Splatter requires custom regex rules, lazy-load triggering, and CDN resolution. DataFlirt handles the parsing complexity so your team receives clean, normalised datasets.
Everything supported by our urbansplatter.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 handles infinite scroll, lazy-loaded images, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies to bypass WAF protections. Rotation happens per-request to prevent IP bans during full-site historical crawls.
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 urbansplatter.com scraping, legality, and pipeline operations.
Ask us directly →We use custom regular expressions and natural language processing rules tailored to Urban Splatter's editorial style. This allows us to accurately locate and extract integer values for square footage, price, and bedroom counts from narrative paragraphs.
We extract the high-resolution source URLs by default. If required, we can also download the physical image files and upload them directly to your AWS S3 bucket or Google Cloud Storage alongside the metadata.
We use Playwright to simulate user scrolling, which triggers the lazy-load JavaScript events. This ensures we capture the actual image URLs rather than the low-resolution placeholder images.
Yes. We can perform a one-time historical crawl of the entire celebrity homes category, paginating through all historical archives to extract every profile published on the site.
We can configure the pipeline to check author feeds or category pages at hourly, daily, or weekly cadences. The change-detection system ensures we only process and deliver newly published articles.
Yes. Every article record includes an array of assigned tags, the primary category, and the breadcrumb taxonomy, allowing you to maintain the exact site structure in your database.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical backfill of celebrity homes or a daily feed of new architecture articles, we scope, build, and operate the pipeline. Tell us what you need.
