We extract product catalogues, stock availability, pricing updates, and review data from Yogamatters. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 yogamatters.com. All fields typed and schema-versioned.
"sku": "YM-MAT-001", "title": "Yogamatters Sticky Yoga Mat", "brand": "Yogamatters", "price": 25.0, "currency": "GBP", "in_stock": true, "material": "High Grade PVC", "colour_options": "['Ocean Green', 'Purple', 'Slate Grey']"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from yogamatters.com. All fields typed and schema-versioned.
"sku": "YM-MAT-001", "price": 25.0, "list_price": 25.0, "discount_pct": 0, "stock_status": "In Stock", "bulk_discount": true, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | price | list_price | discount_pct | stock_status | quantity_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from yogamatters.com. All fields typed and schema-versioned.
"review_id": "REV-88492", "sku": "YM-MAT-001", "star_rating": 5, "verified_buyer": true, "review_title": "Excellent grip", "helpful_votes": 12, "review_date": "2026-04-18"
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications objects from yogamatters.com. All fields typed and schema-versioned.
"sku": "YM-MAT-001", "weight": "1.2kg", "dimensions": "183cm x 61cm x 4.5mm", "care_instructions": "Wipe clean with a damp cloth", "material_composition": "Phthalate-free PVC", "origin_country": "Taiwan", "sustainability_cert": "Oeko-Tex Standard 100"
| # | sku | weight | dimensions | care_instructions | material_composition | origin_country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Navigation objects from yogamatters.com. All fields typed and schema-versioned.
"breadcrumb": "Home > Yoga Mats > Sticky Yoga Mats", "position": 1, "sku": "YM-MAT-001", "is_new": false, "is_bestseller": true, "price": 25.0, "scraped_at": "2026-05-12T09:14:33Z"
| # | breadcrumb | category_url | position | sku | title | price |
|---|---|---|---|---|---|---|
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Our Yogamatters scraper handles the entire product catalogue: nested variants, dynamic pricing, material specifications, and review data.
Title, descriptions, dimensions, weight, and every metadata field Yogamatters surfaces.
Extract all colour and size permutations per product, maintaining parent and child SKU relationships.
Track inventory levels and out of stock flags across all variants.
Capture retail price, list price, and promotional discounts timestamped per crawl.
Extract sustainability certifications, material composition, and origin data.
Full review text, star ratings, and verified buyer flags paginated across all products.
Isolate data by brand, such as Liforme, Manduka, or Yogamatters own brand.
Monitor category rankings and bestseller badges across the entire site architecture.
Run continuous pipelines at daily cadences with change detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or keyword sets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for yogamatters.com.
Schema validation, null rate checks, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Retail sites deploy rate limiting and layout shifts. We manage the proxy rotation and schema maintenance so your data feed never breaks.
We utilise residential ISP proxies with realistic browser fingerprints to bypass rate limiting and IP blocks on retail storefronts.
Product variants and stock statuses often require JavaScript execution. We run full Playwright browser sessions to capture data that headless HTTP clients miss.
Our selector strategy uses multiple fallback chains per field, including CSS selectors and structured data extraction, ensuring layout changes do not break the pipeline.
We iterate through all colour and size combinations on a product page, extracting unique pricing and stock data for every individual child SKU.
We maintain a hash index of last seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Fitness retailers monitor pricing and promotional windows to optimise their own pricing strategies.
Merchandising teams analyse category depth and brand representation to identify product gaps.
Yoga equipment brands audit their product listings for accurate descriptions and MAP compliance.
Supply chain teams correlate review velocity and stock depth indicators to improve procurement models.
Analysts track the growth of sustainable materials and eco certifications in the fitness market.
Manufacturers track retail pricing to ensure adherence to minimum advertised price agreements.
"Yogamatters aggregates the premium tier of global yoga equipment, but extracting clean variant and material data requires dedicated infrastructure."
Most teams underestimate the maintenance overhead of retail scraping. Layouts change, rate limits trigger, and variant structures mutate. DataFlirt absorbs that complexity, handling proxy rotation, session management, and schema validation so your engineers can focus on analysis.
Everything supported by our yogamatters.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 retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About yogamatters.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible. DataFlirt targets only public, non authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies and request timing modelled on human behaviour. We monitor for 429 rate limit spikes in real time and trigger proxy pool rotation automatically.
Yes. We iterate through the DOM to trigger all variant combinations, capturing the specific price, SKU, and stock status for every individual option.
Full catalogue refreshes at daily cadence complete within a 2 to 4 hour window. More frequent runs can be configured for specific high priority categories.
Yes. We extract all structured specifications, including material composition, care instructions, and sustainability certifications like Oeko-Tex.
Our smallest packages start at a defined category list with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one off product catalogue dump or a continuous price monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
