We extract the complete Orthofeet catalogue, including complex size-width matrices, orthopedic feature tags, and condition-specific review data. Delivered as clean JSON, CSV, or Parquet.
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 orthofeet.com. All fields typed and schema-versioned.
"sku": "OF-M-812", "title": "Edgewater Men's Athletic Shoes", "category": "Men's Sneakers", "price": 145.0, "list_price": 160.0, "condition_tags": "['Plantar Fasciitis', 'Neuropathy']", "rating": 4.7, "review_count": 1245
| # | sku | title | category | price | list_price | colour_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Inventory objects from orthofeet.com. All fields typed and schema-versioned.
"parent_sku": "OF-M-812", "variant_sku": "OF-M-812-BLK-10-W", "colour": "Black", "size": "10", "width": "Wide", "price": 145.0, "in_stock": true, "stock_quantity": 42
| # | parent_sku | variant_sku | colour | size | width | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Fit Data objects from orthofeet.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "OF-M-812", "rating": 5, "author": "James T.", "verified": true, "foot_condition": "Flat Feet", "fit_rating": "True to Size"
| # | review_id | sku | rating | author | date | verified |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Orthopedic Specs objects from orthofeet.com. All fields typed and schema-versioned.
"sku": "OF-M-812", "arch_support": "Premium Orthotic", "insole_type": "Removable", "upper_material": "Stretch Knit", "diabetic_friendly": true, "heel_cushioning": "Ergonomic Sole", "toe_box_type": "Wide"
| # | sku | arch_support | insole_type | upper_material | sole_material | diabetic_friendly |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Condition Mapping objects from orthofeet.com. All fields typed and schema-versioned.
"condition_id": "COND-PF", "condition_name": "Plantar Fasciitis", "total_products": 142, "symptom_tags": "['Heel Pain', 'Morning Foot Pain']", "relief_mechanism": "Arch Support & Heel Cushioning", "category_url": "https://orthofeet.com/collections/plantar-fasciitis-shoes"
| # | condition_id | condition_name | description | recommended_skus | category_url | total_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Orthofeet's catalogue relies on multi-dimensional variant arrays and condition-specific taxonomy. Our pipeline extracts every SKU, width combination, and customer review.
Extract accurate pricing and availability across every combination of colour, size, and width (Medium, Wide, Extra Wide).
Map footwear SKUs to specific medical conditions like Plantar Fasciitis, Neuropathy, and Bunions based on site taxonomy.
Scrape customer reviews including specific metadata for foot conditions, fit ratings, and verified purchase status.
Monitor stock depth and availability status for specific variant combinations to track demand signals.
Record base prices, sale prices, and promotional discounts across the entire catalogue.
Extract technical details like insole type, arch support level, diabetic-friendly flags, and sole materials.
Capture high-resolution product imagery, orthotic diagrams, and specific feature detail shots.
Reconstruct the exact category tree spanning men's, women's, socks, insoles, and condition-specific collections.
Run daily or weekly pipelines that only deliver changes in price, stock, or new reviews to minimise processing load.
Brief in. Clean data out.
Select target categories, specific foot conditions, or the entire footwear catalogue for extraction.
We configure crawlers to handle Orthofeet's variant loading, size matrices, and pagination structures.
Automated checks ensure all width and size combinations are captured accurately without null values.
Structured data is pushed to your preferred endpoint via S3, Webhook, or direct database insert.
Footwear eCommerce sites load variant data dynamically. Here is how we ensure complete data capture without missing edge-case sizes.
Orthofeet updates prices and stock status dynamically when a user selects a specific size and width. We use Playwright to execute these state changes and capture the exact JSON payload for every variant combination.
Popular orthopedic shoes have thousands of reviews loaded via external widgets. Our pipeline intercepts the widget API calls to paginate through the entire history, capturing condition-specific feedback.
Products exist in multiple categories based on medical conditions. We maintain the relational mapping so you can query which shoes are recommended for specific ailments.
Aggressive scraping of eCommerce endpoints triggers rate limits. We distribute requests across a pool of US-based residential proxies to maintain high concurrency without blocks.
Shoe specifications are often listed inconsistently across product pages. We normalise attributes like 'Extra Wide (4E)' into standard categorical fields for immediate analysis.
Footwear brands monitor Orthofeet's pricing strategies, discount cadences, and premium orthotic markups.
Analyse the distribution of SKUs across specific foot conditions to identify underserved medical niches.
Extract thousands of reviews to understand common complaints about arch support or toe box width for R&D.
Track stock levels across complex size-width matrices to estimate sales velocity for top-performing models.
Publishers build condition-specific shoe recommendation engines powered by automated catalogue updates.
Medical researchers analyse consumer feedback on specific orthotic features and their impact on pain relief.
"Orthofeet's catalogue maps complex foot conditions to specific footwear attributes. Extracting this requires parsing multi-dimensional size and width matrices."
Scraping footwear eCommerce requires handling dynamic variant loading where price and stock change based on colour, size, and width combinations. DataFlirt manages the JavaScript execution and proxy rotation required to extract accurate stock levels across the entire matrix.
Everything supported by our orthofeet.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 interact with variant selectors, ensuring accurate price and stock data is captured for every size and width.
Routes requests through US residential IPs to avoid rate limits when paginating through deep review histories or category pages.
Enforces strict typing on output payloads, ensuring complex variant matrices are flattened into queryable database rows.
Data delivered to where your team already works — no new tooling required.
About orthofeet.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline systematically iterates through every available colour, size, and width (Medium, Wide, Extra Wide) to capture the specific price and stock status for each variant.
Yes. We map products to their respective condition categories (e.g., Neuropathy, Flat Feet) and extract any specific orthopedic feature tags listed on the product page.
Pipelines can be configured to run daily, weekly, or monthly. For inventory tracking, we can run delta-updates that only check stock status on high-priority SKUs.
Yes. We extract the full text of customer reviews, along with metadata such as star rating, date, verified purchase status, and any customer-reported foot conditions.
Out-of-stock variants are captured and flagged with a boolean indicator. This allows you to track historical availability and identify supply chain gaps.
We can deliver nested JSON where variants are grouped under a parent SKU, or flattened CSV/Parquet files where every variant combination is a distinct row.
20-minute scoping call. Pilot dataset within the week. Production within two. Configure a managed pipeline to extract Orthofeet's complex variant matrices and condition-specific catalogue. Get structured data delivered to your warehouse.
