We extract furniture catalogues, pricing signals, material specifications, and customer reviews from Joss & Main. 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 Product Listings objects from jossandmain.com. All fields typed and schema-versioned.
"sku": "JSMN1284", "title": "Ainsley 84-Inch Upholstered Sofa", "brand": "Joss & Main", "price": 1299.0, "list_price": 1599.0, "discount_pct": 18.7, "in_stock": true, "rating": 4.6, "review_count": 342
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from jossandmain.com. All fields typed and schema-versioned.
"sku": "JSMN1284", "price": 1299.0, "list_price": 1599.0, "sale_badge": "Clearance", "stock_status": "In Stock", "lead_time_days": 14, "shipping_cost": 0.0, "price_timestamp": "2026-05-12T10:14:00Z"
| # | sku | price | list_price | discount_pct | sale_badge | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from jossandmain.com. All fields typed and schema-versioned.
"review_id": "REV992817", "sku": "JSMN1284", "rating": 5, "review_date": "2026-04-22", "review_title": "Beautiful and comfortable", "helpful_votes": 12, "verified_buyer": true, "image_urls": "['https://assets.jossandmain.com/rev/992817.jpg']"
| # | review_id | sku | reviewer_name | rating | review_date | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Specifications objects from jossandmain.com. All fields typed and schema-versioned.
"sku": "JSMN1284", "assembly_required": true, "warranty_length": "1 Year Limited", "country_of_origin": "Vietnam", "upholstery_material": "100% Polyester", "frame_material": "Solid Wood", "weight_capacity": 750
| # | sku | assembly_required | warranty_length | care_instructions | country_of_origin | upholstery_material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from jossandmain.com. All fields typed and schema-versioned.
"keyword": "mid century modern sofa", "position": 3, "sku": "JSMN1284", "title": "Ainsley 84-Inch Upholstered Sofa", "price": 1299.0, "rating": 4.6, "sale_badge": "Clearance", "scraped_at": "2026-05-12T10:15:22Z"
| # | keyword | position | sku | title | price | rating |
|---|---|---|---|---|---|---|
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Our Joss & Main scraper handles the entire catalogue: complex furniture variants, dynamic pricing, shipping estimates, and detailed specifications, bypassing anti-bot systems automatically.
Title, descriptions, dimensions, weights, and high-resolution imagery scraped at the SKU level.
Extract all colour, fabric, and configuration options linked to the parent product.
Capture current price, list price, discount percentages, and sale badges timestamped per crawl.
Extract structured technical details including assembly requirements, materials, and warranty data.
Full review text, star ratings, helpful vote counts, and verified buyer flags across all pages.
Capture estimated delivery dates, shipping costs, and stock availability statuses.
Track organic position for any keyword or category to monitor visibility.
Map the full breadcrumb trail to understand product placement and site structure.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide SKU lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for jossandmain.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
The Wayfair network invests heavily in bot mitigation. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Joss & Main utilizes advanced bot protection that flags data center IPs and headless browsers. Our crawlers use US residential ISP proxies with realistic browser fingerprints and full cookie session management.
Much of Joss & Main's pricing and variant data is loaded dynamically via complex GraphQL requests. We intercept and reverse-engineer these API calls to extract clean JSON directly, reducing page load overhead.
Furniture items often have hundreds of permutations based on fabric, colour, and layout. Our pipeline maps these relationships accurately, ensuring every child SKU is linked to its parent with the correct price.
For large furniture catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops.
Furniture retailers monitor pricing, clearance events, and discount strategies to remain competitive.
Merchandising teams analyse category depth, material trends, and new product introductions.
Analysts track product lifecycle, review velocity, and stock depth indicators to identify market opportunities.
ML teams use structured furniture datasets and imagery to train visual search and recommendation engines.
Logistics teams monitor lead times and shipping estimates across categories to benchmark delivery performance.
Design agencies track colour, fabric, and style permutations that receive the highest review volumes.
"Joss & Main holds critical pricing and trend data for the premium furniture market, but accessing it requires navigating aggressive bot mitigation and complex variant structures."
Most teams underestimate the infrastructure required to scrape the Wayfair network. Reliable Joss & Main extraction demands residential proxies, GraphQL query reverse engineering, and continuous schema maintenance. DataFlirt absorbs that complexity so your team can focus on analysis.
Everything supported by our jossandmain.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.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required.
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 jossandmain.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review site terms and consult legal counsel for specific use cases.
We use US residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and automated CAPTCHA solvers. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
Yes. Our pipeline maps the entire variant matrix, ensuring every child SKU is captured with its specific price, lead time, and image assets.
Pipelines can be configured to run daily or weekly depending on your requirements. Change detection ensures you only process updated records.
Our smallest packages start at a defined category or SKU list with weekly delivery. For larger catalogues, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs or 50 search result pages as part of the scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across the furniture category, we scope, build, and operate the pipeline. Tell us what you need.
