We extract product listings, pricing signals, inventory status, sizing variants, and reviews from Fairtex. 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 fairtex.com. All fields typed and schema-versioned.
"sku": "BGV1-BLK", "title": "Fairtex BGV1 Universal Boxing Gloves", "category": "Boxing Gloves", "price": 95.0, "currency": "USD", "material": "Premium Leather", "weight_class": "16oz"
| # | sku | title | category | price | currency | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Inventory objects from fairtex.com. All fields typed and schema-versioned.
"sku": "BGV1-BLK-16", "parent_sku": "BGV1", "size": "16oz", "colour": "Black", "stock_status": "in_stock", "stock_quantity": 42, "price_modifier": 0.0
| # | sku | parent_sku | size | colour | stock_status | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from fairtex.com. All fields typed and schema-versioned.
"sku": "SP5-RED-L", "current_price": 85.0, "original_price": 95.0, "discount_pct": 10.5, "on_sale": true, "currency": "USD", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | on_sale | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from fairtex.com. All fields typed and schema-versioned.
"review_id": "REV-89213", "sku": "BGV1-BLK-16", "author": "John D.", "rating": 5, "title": "Perfect for heavy bag work", "date": "2026-04-18", "verified_buyer": true
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Categories & Collections objects from fairtex.com. All fields typed and schema-versioned.
"collection_id": "COL-MUAYTHAI", "name": "Muay Thai Shorts", "url": "/collections/muay-thai-shorts", "product_count": 124, "parent_category": "Apparel", "updated_at": "2026-05-12T09:00:00Z"
| # | collection_id | name | url | product_count | parent_category | description |
|---|---|---|---|---|---|---|
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Our scraper handles storefront listings, dynamic inventory loading, complex size and colour variants, and the full review corpus.
Title, description, materials, weight classes, and high-resolution image URLs scraped at the SKU level.
Map parent products to child variants across complex size grids (e.g., 10oz, 12oz, 14oz, 16oz) and colour combinations.
Monitor in-stock status, out-of-stock flags, and available quantities per variant to track supply levels.
Capture base prices, sale prices, discount percentages, and currency normalisation across regions.
Extract full review text, star ratings, dates, and verified buyer flags paginated across all product pages.
Crawl collections including Muay Thai, MMA, BJJ, and Apparel to map the full site taxonomy.
Extract related products and frequently bought together items to map product associations.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Support for regional pricing and availability by routing requests through geo-specific proxies.
Brief in. Clean data out.
Provide categories, search terms, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, Playwright sessions, proxy rotation, and anti-bot handling for fairtex.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
E-commerce scraping requires persistent infrastructure. Here is how we maintain data quality.
E-commerce platforms use WAFs and bot protection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Variant switching and inventory status often load via client-side JavaScript. We run full Playwright browser sessions to capture data that headless HTTP clients miss.
Storefront themes change frequently. Our selector strategy uses fallback chains: CSS selectors, XPath, and JSON-LD structured data extraction.
Combat sports equipment has deep variant trees. We map every combination of glove weight, shin guard size, and colourway to unique child SKUs.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Retailers and rival brands track Fairtex pricing and discount strategies to adjust their own positioning.
Supply chain teams monitor out-of-stock rates on core items like BGV1 gloves to model market demand.
Analysts track new product launches and category expansion in the combat sports equipment sector.
Marketplaces syndicate Fairtex product specifications and images for unified search experiences.
Brand protection teams compare official catalogue data against third-party marketplace listings.
Product teams analyse customer feedback on specific glove models to inform future design iterations.
"Fairtex sets the benchmark for combat sports equipment globally. Querying their catalogue at scale requires purpose-built extraction pipelines."
Most teams underestimate the investment required: reliable e-commerce scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our fairtex.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, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About fairtex.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information 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, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass standard WAF challenges.
Pipelines can be configured to run daily or hourly. Hourly runs focus on specific high-velocity SKUs to monitor stock levels with minimal latency.
Yes. Every size (e.g., 10oz, 12oz, 14oz, 16oz) and colour combination is extracted as a distinct child variant linked to the parent product.
Our packages start at full catalogue extraction with weekly delivery. Contact us with your specific cadence requirements for a scoped quote.
Absolutely. We provide a sample run of up to 100 products as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous inventory monitoring feed, we scope, build, and operate the pipeline.
