We extract plus-size clothing listings, Torrid Cash promotions, fit feedback, and inventory signals from torrid.com. 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 torrid.com. All fields typed and schema-versioned.
"sku": "12345678", "name": "Super Soft Ribbed Knit Top", "category": "Tops > T-Shirts", "fit_type": "Classic Fit", "price": 35.5, "sizes_available": "['10', '12', '14', '16', '18']", "colours": "['Black', 'Olive', 'Burgundy']", "fabric_composition": "95% Rayon, 5% Spandex"
| # | sku | name | category | fit_type | price | sizes_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from torrid.com. All fields typed and schema-versioned.
"sku": "12345678", "list_price": 39.9, "sale_price": 27.93, "torrid_cash_eligible": true, "clearance_flag": false, "discount_pct": 30, "promo_text": "30% Off Regular Price", "price_timestamp": "2026-05-12T10:15:00Z"
| # | sku | list_price | sale_price | torrid_cash_eligible | clearance_flag | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Fit objects from torrid.com. All fields typed and schema-versioned.
"review_id": "REV-98765", "sku": "12345678", "rating": 4.5, "fit_feedback": "True to Size", "length_feedback": "Slightly Long", "review_text": "Love the fabric, very stretchy and comfortable.", "reviewer_size": "2", "review_date": "2026-04-20"
| # | review_id | sku | rating | fit_feedback | length_feedback | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Variants objects from torrid.com. All fields typed and schema-versioned.
"sku": "12345678", "variant_id": "VAR-001", "colour": "Olive", "size": "14", "stock_status": "In Stock", "low_stock_warning": false, "online_exclusive": true, "upc": "889000123456"
| # | sku | variant_id | colour | size | stock_status | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category & Taxonomy objects from torrid.com. All fields typed and schema-versioned.
"breadcrumbs": "['Clothing', 'Tops', 'T-Shirts']", "primary_category": "Tops", "sub_category": "T-Shirts", "collection_name": "Super Soft Collection", "position": 12, "product_url": "https://www.torrid.com/product/...", "image_url": "https://images.torrid.com/is/image/...", "scraped_at": "2026-05-12T10:15:30Z"
| # | breadcrumbs | primary_category | sub_category | collection_name | position | product_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Torrid scraper handles the complexities of apparel data: multi-dimensional variant matrices, dynamic promotional pricing, and detailed fit feedback from customer reviews.
Extract names, descriptions, fabric compositions, and care instructions across all categories.
Capture list price, sale price, clearance markers, and Torrid Cash eligibility flags per item.
Track available sizes from 10 to 30, including inseam lengths and specific fit types.
Extract review text, star ratings, and specific fit feedback like 'Runs Small' or 'True to Size'.
Monitor stock status, low inventory warnings, and online-exclusive indicators per variant.
Map parent SKUs to child variants across all colour and size combinations.
Run bulk exports weekly or track promotional pricing changes daily.
Bypass Salesforce Commerce Cloud protections using residential proxies and browser fingerprinting.
Capture pricing variations across device profiles to catch app-exclusive discounts.
Brief in. Clean data out.
Provide target categories, specific collections, or search terms. We build the extraction schema.
We configure Playwright crawlers, proxy rotation, and session management for torrid.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery, or Snowflake on agreed cadence.
Retail sites use dynamic frontend frameworks and strict bot protection. Here is how we ensure reliable data delivery.
Torrid operates on Salesforce Commerce Cloud, which employs strict bot detection. We use US residential proxies, realistic TLS fingerprints, and human-like request pacing to maintain access.
Apparel sites load size and colour availability dynamically via JavaScript. We execute full Playwright sessions to ensure every variant combination is rendered and captured.
A single product page can contain 50+ variants. We extract the underlying JSON product data to accurately map prices and stock levels to specific size and colour IDs.
We maintain state across runs to detect when items go on clearance or become Torrid Cash eligible, pushing only the changed records to reduce your processing overhead.
Retailers update their DOM structures frequently. We monitor selector success rates and trigger alerts for manual intervention before data quality degrades.
Apparel retailers track Torrid's promotional cadence, discount depths, and clearance strategies.
Merchandising teams analyse category breadth, colour trends, and size availability to identify market gaps.
Fashion analysts monitor new arrivals and out-of-stock velocities to predict seasonal trends.
Pricing teams correlate Torrid's clearance markdowns with inventory depth to optimise their own pricing.
Product developers mine review text for fit feedback to improve their own plus-size sizing blocks.
Partners and licensed brands track how their products are positioned and priced on the platform.
"Torrid holds critical sizing and fit data for the plus-size apparel market - but extracting it requires navigating complex variant matrices and dynamic promotional logic."
Apparel scraping involves handling multi-dimensional variant arrays, dynamic pricing, and regional inventory blocks. DataFlirt manages the residential proxies, JavaScript execution, and schema normalisation so your data team receives clean, query-ready tables instead of broken HTML.
Everything supported by our torrid.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 variant hydration.
We maintain pools of US residential ISP proxies to bypass Salesforce Commerce Cloud bot detection.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. State is stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About torrid.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data is generally permissible. DataFlirt extracts only public, non-authenticated information. We do not extract personal data or bypass authentication walls.
We utilise residential proxies, full browser sessions with realistic TLS fingerprints, and human-like request pacing to navigate WAF protections reliably.
Yes. We map the availability of every size variant (10 through 30) for each product colour.
Pipelines can be configured for daily catalogue refreshes or higher-frequency updates for specific categories during promotional events.
Yes. We extract specific fit attributes from reviews, such as 'Runs Small', 'True to Size', and length feedback, alongside the standard text and ratings.
Our minimum engagement starts at weekly delivery for targeted categories or specific competitor tracking sets.
Yes. We provide a sample run of up to 500 products so you can validate the schema and variant mapping before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily pricing feed or a historical review extraction, we build and operate the infrastructure. Tell us your requirements.
