We extract architectural projects, interior design galleries, DIY tutorials, and decor guides from Homedit. 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 Architectural Projects objects from homedit.com. All fields typed and schema-versioned.
"url": "https://www.homedit.com/modern-concrete-villa", "title": "Minimalist Concrete Villa in the Swiss Alps", "architect": "Studio Alpine", "location": "Valais, Switzerland", "year_completed": 2023, "design_style": "Minimalist", "area_sqm": 450, "tags": "['concrete', 'minimalist', 'villa', 'mountains']"
| # | url | title | architect | location | year_completed | area_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for DIY Tutorials objects from homedit.com. All fields typed and schema-versioned.
"title": "How to Build a Floating Oak Vanity", "difficulty_level": "Intermediate", "estimated_time": "4 hours", "cost_estimate": "$150", "materials_list": "['White oak plywood', 'Wood glue', 'Screws', 'Polyurethane']", "tools_list": "['Table saw', 'Drill', 'Clamps']", "author": "Sarah Jenkins"
| # | url | title | difficulty_level | estimated_time | cost_estimate | materials_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Room Designs objects from homedit.com. All fields typed and schema-versioned.
"room_type": "Kitchen", "design_style": "Mid-Century Modern", "colour_palette": "['Walnut', 'Sage Green', 'Matte Black']", "primary_features": "['Waterfall island', 'Open shelving', 'Pendant lighting']", "image_urls": "['https://cdn.homedit.com/kitchen-1.jpg', 'https://cdn.homedit.com/kitchen-2.jpg']", "publish_date": "2024-02-15T10:30:00Z", "author": "Marcus Thorne"
| # | url | room_type | design_style | colour_palette | primary_features | furniture_types |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Image Galleries objects from homedit.com. All fields typed and schema-versioned.
"article_url": "https://www.homedit.com/rustic-living-rooms", "image_url": "https://cdn.homedit.com/rustic-living-room-fireplace.jpg", "alt_text": "Stone fireplace in rustic living room with exposed beams", "image_credit": "Photography by Jane Doe", "resolution": "1920x1080", "room_context": "Living Room", "style_context": "Rustic"
| # | article_url | image_url | alt_text | caption | image_credit | resolution |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Decor Articles objects from homedit.com. All fields typed and schema-versioned.
"url": "https://www.homedit.com/best-indoor-plants", "title": "15 Low-Maintenance Indoor Plants for Modern Homes", "primary_category": "Decorating", "author": "Elena Rossi", "publish_date": "2024-01-20T14:00:00Z", "tags": "['indoor plants', 'biophilic design', 'decor']", "product_mentions": "['Monstera Deliciosa', 'Snake Plant', 'Ceramic Planter']"
| # | url | title | primary_category | sub_category | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Homedit scraper parses unstructured editorial content into clean, typed schemas. We extract metadata, taxonomy, high-res imagery, and step-by-step instructions across the entire site architecture.
Capture clean body text, HTML structures, author metadata, and publication dates across all editorial categories.
Extract original source URLs for images embedded in lazy-loaded galleries, complete with alt text and captions.
Convert unstructured DIY guides into structured JSON arrays containing materials, tools, time estimates, and sequential steps.
Isolate entity data from project features: architect name, project location, completion year, and square meterage.
Map content to specific interior design styles (e.g., Scandinavian, Industrial) and room types based on site taxonomy.
Identify and extract specific furniture types, materials, or decor items mentioned within article body text.
Track output by specific designers, architects, and editorial contributors across the platform.
Extract the internal tagging structure to preserve content relationships and hierarchical categorisation.
Run one-off historical archive exports or configure daily pipelines to capture newly published content.
Brief in. Clean data out.
Provide categories, search terms, or specify a full-site archive extraction. We design the schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for homedit.com.
Schema validation, null-rate checks, and data normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Editorial sites present unique structural challenges. Here is how we ensure high-fidelity data extraction from Homedit.
Editorial sites often mix traditional pagination with infinite scroll. We use Playwright to simulate user scrolling, ensuring all lazy-loaded articles and gallery images are captured.
We parse responsive image tags to extract the highest resolution source URLs, bypassing thumbnails and heavily compressed preview images.
A DIY tutorial has a different DOM structure than an architectural showcase. Our selectors use content-aware fallback chains to normalise data regardless of the underlying template.
We distribute requests across residential IP pools and enforce strict concurrency limits to avoid triggering firewall blocks or degrading site performance.
We hash article content to detect editorial updates, ensuring you only process diffs rather than re-ingesting the entire site archive on every run.
Identify rising interior design styles, colour palettes, and material preferences by analysing publishing frequency and tags.
Train computer vision models and generative AI using large datasets of high-resolution room photography paired with descriptive captions.
Curate design inspiration feeds for prop-tech applications, real estate platforms, or interior design software.
Map specific room styles to furniture types to improve recommendation algorithms for homeware retailers.
Analyse top-performing DIY and architecture topics to inform content marketing and keyword targeting strategies.
Track the popularity of specific building materials and architectural features over time to guide product development.
"Homedit contains a massive, unstructured corpus of interior design trends and architectural photography — highly valuable for AI training, but difficult to parse at scale."
Extracting data from visual-heavy design sites requires specific infrastructure. Lazy-loaded image galleries, inconsistent article DOM structures, and infinite pagination break standard HTTP clients. DataFlirt manages the rendering layer, proxy rotation, and schema normalisation so your data science teams receive clean, structured JSON.
Everything supported by our homedit.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, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across IN/US/UK/DE 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 homedit.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Homedit is generally permissible under applicable law. DataFlirt targets only public, non-authenticated editorial and image data. We do not extract personal data or circumvent authentication walls. Clients should review Homedit's ToS and consult legal counsel for specific use cases.
We use Playwright to execute JavaScript, simulate scroll events, and trigger lazy-loading mechanisms. This ensures we capture all gallery images and infinite-scroll articles that standard HTTP clients miss.
By default, we extract the high-resolution source URLs. If your use case requires it, we can configure the pipeline to download the image files directly to your AWS S3 bucket during the extraction process.
For continuous pipelines, we perform daily sweeps of category and author pages to detect newly published articles. Historical archives are extracted as a one-off bulk process.
Yes. We can traverse the site's sitemap and internal linking structure to extract the complete historical corpus of articles, projects, and galleries.
Our smallest packages start at a defined category extraction with daily delivery. For full-site archives or custom schema requirements, we price based on compute volume. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full archive of architectural imagery for ML training or a daily feed of interior design trends — we scope, build, and operate the pipeline.
