We extract product lines, shade variants, ingredient lists, pricing, and reviews from toofaced.com. 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 Products objects from toofaced.com. All fields typed and schema-versioned.
"product_id": "TF-9482", "name": "Better Than Sex Mascara", "category": "Makeup", "sub_category": "Eyes", "base_price": 29.0, "currency": "USD", "is_vegan": true, "is_cruelty_free": true
| # | product_id | name | category | sub_category | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shades objects from toofaced.com. All fields typed and schema-versioned.
"product_id": "TF-1029", "shade_name": "Cloud", "shade_description": "Fairest with rosy undertones", "hex_code": "#FAD6C9", "in_stock": true, "sku": "TF-1029-CLD", "price_override": "None"
| # | product_id | shade_name | shade_description | hex_code | swatch_image_url | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing objects from toofaced.com. All fields typed and schema-versioned.
"product_id": "TF-9482", "sku": "TF-9482-STD", "base_price": 29.0, "sale_price": 23.2, "discount_pct": 20, "currency": "USD", "is_limited_edition": false, "promotion_text": "20% Off Sitewide"
| # | product_id | sku | base_price | sale_price | discount_pct | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from toofaced.com. All fields typed and schema-versioned.
"review_id": "REV-847291", "product_id": "TF-9482", "star_rating": 5, "review_title": "Holy Grail Mascara", "skin_type": "Combination", "age_range": "25-34", "recommendation": true, "review_date": "2023-11-14"
| # | review_id | product_id | reviewer_name | star_rating | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories objects from toofaced.com. All fields typed and schema-versioned.
"category_id": "CAT-EYES", "category_name": "Eye Makeup", "parent_category": "Makeup", "url": "/shop/makeup/eyes", "product_count": 48, "meta_title": "Eye Makeup & Cosmetics | Too Faced", "meta_description": "Shop cruelty-free eye makeup including mascara, eyeshadow palettes, and eyeliner."
| # | category_id | category_name | parent_category | url | product_count | banner_image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Too Faced scraper handles product variants, shade grids, and ingredient lists — standardising unstructured beauty data into queryable schemas.
Extract names, descriptions, how-to-use instructions, and marketing copy for every item in the catalogue.
Capture shade names, hex codes, undertone descriptions, and swatch image URLs across complex variant selectors.
Extract and normalise comma-separated ingredient lists into structured arrays for formulation analysis.
Monitor base prices, sale prices, sitewide discounts, and limited-time promotional banners.
Track out-of-stock status at the SKU level to monitor supply chain gaps and product popularity.
Extract star ratings, review text, and reviewer attributes like skin type and age range.
Detect and structure certification badges and claims for ethical compliance tracking.
Capture 'Frequently Bought Together' and 'Complete The Look' product associations.
Extract CDN links for primary product images, lifestyle shots, and shade swatches.
Map the site navigation structure to understand product taxonomy and placement.
Brief in. Clean data out.
Provide target categories, product lists, or full-site requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and variant hydration logic for toofaced.com.
Schema validation, null-rate checks, and shade mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from highly visual, JavaScript-heavy eCommerce sites requires specific infrastructure. Here is how we handle toofaced.com.
Beauty sites rely on complex JavaScript to swap images and prices when a user selects a shade. We use Playwright to execute these interactions, ensuring we capture exact SKU data for every variant, not just the default load state.
We parse the DOM and JSON-LD to extract the highest resolution image URLs from the underlying CDN, bypassing compressed thumbnails.
eCommerce platforms utilise WAFs to block automated traffic. We route requests through US-based residential proxies with realistic TLS fingerprints to maintain uninterrupted access.
Ingredient lists are often unstructured text blocks. Our pipeline parses these blocks, strips marketing fluff, and emits clean arrays of individual chemical compounds and natural extracts.
We hash product states per run. When a shade goes out of stock or a price changes, we emit a diff record, providing a precise timeline of inventory velocity and promotional cycles.
Beauty analysts track shade ranges, ingredient trends, and new product launches to identify market gaps.
Retailers monitor direct-to-consumer pricing, bundle discounts, and sitewide promotions to adjust their own promotional calendars.
Merchandisers analyse category depth and variant counts to optimise their own brand portfolios.
Formulators track the inclusion of trending active ingredients and the exclusion of banned substances across product lines.
Brand managers ingest review text to correlate product ratings with specific skin types and age demographics.
Authorised distributors track official MSRPs to identify unauthorised sellers undercutting prices on third-party marketplaces.
"Beauty eCommerce relies on visual variants and ingredient matrices — data that requires precise DOM parsing to normalise into queryable warehouse tables."
Extracting from toofaced.com requires handling dynamic shade selectors, lazy-loaded image grids, and nested ingredient lists. DataFlirt manages the JavaScript rendering, proxy rotation, and schema normalisation so your data engineering team receives clean, structured output without maintaining the scrapers.
Everything supported by our toofaced.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 deduplication. Playwright handles JavaScript rendering for dynamic shade selectors and lazy-loaded assets.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent IP bans from retail WAFs.
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 toofaced.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.
We utilise Playwright to execute the JavaScript interactions required to surface variant-specific data, ensuring we capture the correct price, SKU, and image URL for every individual shade.
Yes. We extract the raw ingredient text blocks and process them into structured arrays, separating active ingredients from base compounds where formatting allows.
Pipelines can be configured to run daily or intra-day. Change detection ensures you receive immediate updates when a price drops or a promotion goes live.
We extract and deliver the high-resolution CDN URLs for the images. If direct binary download is required, we can configure a pipeline to sync assets to your S3 bucket.
We capture the inventory status boolean for every SKU. Out-of-stock items are recorded with their last known price and a flag indicating current unavailability.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a one-off catalogue dump or continuous price monitoring? We scope, build, and operate the pipeline. Tell us your requirements.
