We extract professional profiles, project portfolios, high-res imagery, and ideabook metadata from Homify. 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 Professional Profiles objects from homify.com. All fields typed and schema-versioned.
"profile_id": "pro-84921", "name": "Studio Lotus Architects", "category": "Architect", "location": "New Delhi, India", "rating": 4.8, "review_count": 142, "project_count": 34, "contact_number": "+91-9876543210"
| # | profile_id | name | category | location | rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Projects objects from homify.com. All fields typed and schema-versioned.
"project_id": "prj-10293", "professional_id": "pro-84921", "title": "Minimalist Urban Loft", "style": "Modern", "location": "Mumbai", "completion_year": 2023, "image_count": 18, "category": "Residential"
| # | project_id | professional_id | title | style | location | budget |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Images & Assets objects from homify.com. All fields typed and schema-versioned.
"image_id": "img-59281", "project_id": "prj-10293", "url_highres": "https://images.homify.com/v14.../highres.jpg", "room_type": "Living Room", "style": "Industrial", "colour_palette": "['Grey', 'Oak', 'Matte Black']", "tags": "['Exposed Brick', 'Track Lighting', 'Concrete Floor']"
| # | image_id | project_id | url_highres | url_thumbnail | tags | room_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from homify.com. All fields typed and schema-versioned.
"review_id": "rev-8841", "professional_id": "pro-84921", "reviewer_name": "Arun Sharma", "rating": 5.0, "date": "2025-11-12", "text": "Exceptional attention to detail during our villa renovation.", "project_reference": "prj-10293", "helpful_votes": 12
| # | review_id | professional_id | reviewer_name | rating | date | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ideabooks objects from homify.com. All fields typed and schema-versioned.
"ideabook_id": "ib-4492", "author_id": "usr-1102", "title": "Small Apartment Storage Hacks", "image_count": 24, "creation_date": "2025-08-21", "view_count": 45210, "save_count": 3102, "category_tags": "['Storage', 'Small Spaces', 'Apartment']"
| # | ideabook_id | author_id | title | description | image_count | creation_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Homify scraper navigates infinite scroll galleries, regional subdomains, and dynamic professional directories to deliver structured architectural intelligence.
Extract architects, interior designers, and contractors including contact details, ratings, and service areas across all Homify regions.
Capture complete project metadata including budget, completion year, style categorisation, and location data linked to professional profiles.
Extract direct URLs for high-resolution project imagery, alongside room types, colour palettes, and architectural tags.
Compile client feedback, star ratings, and professional responses to build trust metrics for service providers.
Track popular ideabooks, save counts, and view metrics to identify emerging interior design trends and material preferences.
Support for homify.in, homify.co.uk, homify.de, homify.es, and other localised subdomains with normalised schemas.
Scrape editorial content, featured projects, and embedded product links from Homify's digital magazine section.
Extract obfuscated phone numbers, website links, and physical addresses from professional profiles using JavaScript rendering.
Normalise architectural styles (e.g., Bauhaus, Minimalist, Rustic) and room types across the entire image corpus.
Run continuous pipelines that detect new projects, updated reviews, and profile changes without re-scraping the entire directory.
Brief in. Clean data out.
Provide target regions, professional categories, or specific project styles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle infinite scroll galleries, and manage CAPTCHA challenges for homify.com.
Schema validation, image URL resolution checks, and contact data parsing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting image-heavy directories requires specific handling for dynamic payloads and infinite pagination. Here is how we maintain pipeline stability.
Homify relies heavily on infinite scroll for project galleries and professional directories. Our Playwright instances simulate user scrolling and intercept background XHR requests to paginate through thousands of records without memory bloat.
Thumbnails are served by default. We parse the underlying image CDNs and JSON payloads to construct and extract the maximum resolution URLs for every project asset, bypassing the need to render heavy images in the browser.
Homify operates distinct subdomains per country with varying DOM structures. We maintain a unified schema and route requests through region-specific residential proxies to ensure accurate local data extraction.
Phone numbers and website links on professional profiles often require user interaction to reveal. We automate these interaction flows to extract complete contact information reliably.
For large professional directories, we maintain a hash index of last-seen values per profile. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Building material manufacturers and furniture brands extract professional directories to build targeted outreach lists for architects and contractors.
Computer vision teams use tagged, high-resolution interior and exterior imagery to train architectural style recognition and generative AI models.
Design agencies analyse ideabook save counts and project tags to identify trending materials, colours, and architectural styles by region.
Interior design firms monitor competitor portfolios, client reviews, and project volumes to benchmark their market positioning.
Local service marketplaces aggregate professional profiles, ratings, and contact details to enrich their own vendor databases.
Publishers and media outlets track highly-rated projects and magazine features to curate editorial content and industry newsletters.
"Homify holds the largest structured dataset of architectural professionals and project imagery globally — but extracting it requires navigating heavy dynamic payloads and infinite scroll pagination."
Most teams underestimate the compute required to scrape image-heavy directories. Extracting high-resolution assets, parsing obfuscated contact details, and managing localised subdomains requires dedicated infrastructure. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the pipeline.
Everything supported by our homify.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 global regions. Rotation happens per-request with sticky sessions to match the targeted Homify subdomain locale.
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 homify.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Homify is generally permissible under applicable law. DataFlirt targets only public professional profiles, project imagery, and reviews. We do not extract personal private data, circumvent authentication walls, or violate GDPR. Clients should review Homify's ToS and consult legal counsel for specific use cases.
We use Playwright to simulate user scrolling behaviour while intercepting the underlying JSON payloads via XHR requests. This allows us to extract thousands of project images and profile listings without rendering the heavy DOM elements, ensuring pipeline stability.
Yes. We support all Homify regional sites (e.g., homify.in, homify.co.uk, homify.de). We route requests through residential proxies located in the target region to ensure accurate localisation and language data.
By default, we extract the direct URLs to the highest resolution images available on Homify's CDNs. If your use case requires raw image files (e.g., for ML training), we can configure the pipeline to download and push the binary assets directly to your S3 bucket.
Full directory refreshes typically complete within a 12-24 hour window depending on the target region size. Incremental pipelines can be configured to run daily or weekly to capture new projects and profile updates.
Our smallest packages start at a defined category or region extraction (e.g., all architects in the UK) with monthly delivery. For global catalogues or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 professional profiles or 1,000 project images as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or a continuous feed of new architectural projects — we scope, build, and operate the pipeline. Tell us what you need.
