We extract modular furniture configurations, fabric options, dimension specs, pricing, and customer reviews from Burrow. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from burrow.com. All fields typed and schema-versioned.
"product_id": "nomad-sofa", "title": "Nomad Fabric Sofa", "category": "Seating", "base_price": 1395.0, "currency": "USD", "description": "The essential modular sofa, designed for modern living.", "materials": "Olefin fabric, Baltic birch frame, plated steel hardware"
| # | product_id | title | category | sub_category | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Modular Configurations objects from burrow.com. All fields typed and schema-versioned.
"product_id": "nomad-sofa", "config_id": "nomad-crushed-gravel-oak", "fabric_colour": "Crushed Gravel", "leg_finish": "Oak", "arm_style": "Block", "configuration_price": 1395.0, "in_stock": true, "lead_time": "1-3 weeks"
| # | product_id | config_id | fabric_colour | leg_finish | arm_style | configuration_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions & Specs objects from burrow.com. All fields typed and schema-versioned.
"product_id": "nomad-sofa", "width_inches": 85.0, "depth_inches": 35.0, "height_inches": 33.0, "seat_depth_inches": 22.0, "weight_lbs": 140.0, "box_count": 4, "assembly_required": true
| # | product_id | width_inches | depth_inches | height_inches | seat_depth_inches | weight_lbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from burrow.com. All fields typed and schema-versioned.
"review_id": "rev_84921", "product_id": "nomad-sofa", "star_rating": 5, "review_title": "Perfect for our apartment", "review_body": "Assembly was easy and the fabric feels durable.", "review_date": "2023-11-14", "verified_buyer": true
| # | review_id | product_id | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Assets objects from burrow.com. All fields typed and schema-versioned.
"product_id": "nomad-sofa", "primary_image_url": "https://burrow.com/images/nomad-front.jpg", "gallery_urls": "['https://burrow.com/images/nomad-side.jpg', 'https://burrow.com/images/nomad-detail.jpg']", "swatch_images": "https://burrow.com/images/swatch-gravel.jpg", "fabric_type": "Performance Olefin", "assembly_video_url": "https://youtube.com/watch?v=burrow_assembly"
| # | product_id | primary_image_url | gallery_urls | lifestyle_images | ar_model_url | assembly_video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Burrow relies on complex JavaScript state to render modular configurations. Our pipeline handles the hydration, extracting every permutation of fabric, leg style, and arm shape alongside accurate pricing.
Map every combination of seating, fabric, and finish to a distinct variant record in your database.
Extract base prices and configuration-specific upcharges accurately across all product lines.
Parse swatch details, material composition, and care instructions directly from the frontend state.
Extract exact width, depth, height, and seat dimensions for spatial modelling and logistics planning.
Capture star ratings, textual reviews, and verified buyer tags across the entire catalogue.
Monitor estimated dispatch dates and backorder status per specific modular configuration.
Collect high-resolution product photography, lifestyle imagery, and swatch graphics for your internal systems.
Extract suggested add-ons like lumbar pillows, ottomans, and rug pairings associated with primary items.
Execute Playwright sessions to render React state and capture accurate variant data that static parsers miss.
Hash-based diffing ensures you only receive updates when prices, stock levels, or lead times change.
Brief in. Clean data out.
Provide category URLs or specific product lines. We map the required schemas for variants and dimensions.
We configure Playwright crawlers to handle JavaScript rendering and extract the full configuration matrix.
We validate variant counts, price accuracy, and dimension formatting against the live site.
Structured data pushed to your S3 bucket, Snowflake stage, or via Webhook on your requested schedule.
Extracting data from a modern headless commerce stack requires rendering JavaScript and parsing complex state objects. We handle the infrastructure so you get clean tables.
Modern D2C sites use React frameworks. We intercept and parse the Next.js hydration state directly from the DOM, yielding faster and cleaner variant data extraction than UI scraping.
A single sofa can have hundreds of permutations. Our crawlers systematically iterate through every combination of fabric, leg, and arm style to expose the correct pricing for each.
We route requests through ISP-grade residential proxies to avoid rate limits and blocklists during deep, repetitive catalogue crawls.
We convert deeply nested product configuration objects into structured, queryable relational tables suitable for SQL analysis.
We monitor for null prices, missing dimensions, or sudden drops in variant counts, alerting our ops team before bad data reaches your warehouse.
Analyse Burrow pricing, fabric options, and lead times against other modular furniture brands in the market.
Ingest Burrow product hierarchies and specifications into retail aggregators or interior design platforms.
Track the introduction of new fabrics, leathers, and finishes to forecast interior design trends.
Process customer feedback to identify common complaints about assembly, comfort, or durability.
Track changes in shipping estimates and backorder statuses to gauge overall inventory health and logistics efficiency.
Extract precise dimensional data to populate 3D room planning and augmented reality applications.
"Modular furniture catalogues hide massive complexity. A single Burrow sofa can have hundreds of permutations. We extract every single one."
Scraping modern D2C brands requires more than simple HTTP requests. Burrow uses complex JavaScript frameworks to render product configurations dynamically. DataFlirt executes full browser sessions to capture every fabric, finish, and pricing tier accurately, delivering normalised data ready for analysis.
Everything supported by our burrow.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.
Executes full browser sessions to render React components and capture accurate modular pricing and configuration states.
Routes requests through ISP-grade residential IPs to bypass basic rate limiting and bot detection mechanisms.
Runs on AWS Lambda and ECS with Airflow managing scheduling, dependency execution, and pipeline monitoring.
Data delivered to where your team already works — no new tooling required.
About burrow.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data is generally permissible. We do not bypass authentication walls, scrape personal user data, or interact with checkout systems.
We iterate through the frontend state or parse the Next.js hydration object to extract all possible variants, ensuring every fabric, leg, and arm combination is captured.
Yes, we extract URLs for all gallery images, lifestyle shots, and fabric swatches associated with each product configuration.
We support daily, weekly, or custom cadences depending on your requirement. Change detection ensures you only process updates.
Yes, width, depth, height, and seat dimensions are parsed and typed as numeric values for easy spatial analysis.
We support JSON, CSV, Parquet, and direct integrations with S3, Snowflake, BigQuery, and PostgreSQL.
Yes, our change detection system can flag when a specific configuration moves to backorder or changes its estimated shipping window.
20-minute scoping call. Pilot dataset within the week. Production within two. Need the complete Burrow catalogue mapped to your schema? We scope, build, and operate the extraction infrastructure. Tell us your requirements.
