We extract product catalogues, shade matrices, ingredient profiles, pricing, and customer reviews from tartecosmetics.com. Delivered as clean JSON, CSV, or Parquet to S3 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 tartecosmetics.com. All fields typed and schema-versioned.
"product_id": "shape-tape-contour-concealer", "sku": "846733015403", "name": "shape tape™ contour concealer", "category": "makeup", "sub_category": "face > concealer", "base_price": 31.0, "currency": "USD", "rating": 4.8, "review_count": 28491, "is_vegan": true
| # | product_id | sku | name | category | sub_category | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shade Variations objects from tartecosmetics.com. All fields typed and schema-versioned.
"parent_id": "shape-tape-contour-concealer", "variant_sku": "846733015403", "shade_name": "12N fair neutral", "shade_description": "fair skin with neutral undertones", "hex_colour": "#F3D8C6", "undertone": "neutral", "price": 31.0, "in_stock": true
| # | parent_id | variant_sku | shade_name | shade_description | hex_colour | family |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients & Specs objects from tartecosmetics.com. All fields typed and schema-versioned.
"sku": "846733015403", "key_ingredients": "['shea butter', 'mango butter', 'licorice root']", "formulation": "liquid", "skin_type_compatibility": "['normal', 'dry', 'combination', 'oily']", "coverage": "full", "finish": "matte", "volume_ml": 10.0, "dermatologist_tested": true
| # | sku | ingredient_list | key_ingredients | formulation | skin_type_compatibility | coverage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from tartecosmetics.com. All fields typed and schema-versioned.
"review_id": "rev_9847123", "sku": "846733015403", "rating": 5, "title": "Holy grail concealer", "body": "Covers my dark circles perfectly without creasing.", "skin_type": "combination", "age_range": "25-34", "verified_buyer": true, "date_posted": "2023-11-14"
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from tartecosmetics.com. All fields typed and schema-versioned.
"sku": "846733015403", "regular_price": 31.0, "sale_price": 24.8, "discount_pct": 20, "promo_badge": "20% OFF SITEWIDE", "auto_replenish_price": 27.9, "currency": "USD", "timestamp": "2023-11-20T08:15:00Z"
| # | sku | regular_price | sale_price | discount_pct | promo_badge | auto_replenish_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Cosmetics data requires precise variant mapping. We extract every shade, undertone, ingredient, and promotional state from Tarte's Salesforce Commerce Cloud backend.
Extract every variant SKU mapped to its parent product, including shade names, hex codes, undertone descriptions, and stock availability.
Capture full INCI ingredient lists, key active ingredients, and compliance flags like vegan, cruelty-free, and dermatologist-tested.
Track base prices, promotional discounts, sitewide sales, and auto-replenish subscription pricing across different geographic locales.
Extract paginated customer reviews including star ratings, text, and customer metadata like skin type and age range.
Monitor out-of-stock statuses at the individual shade variant level to track demand patterns for specific colours.
Capture URLs for primary product images, shade swatches, before-and-after photos, and application videos.
Scrape pricing and availability data normalised across US, UK, EU, and other regional storefronts.
Extract 'Frequently Bought Together' and 'Complete the Look' product recommendations to map product relationships.
Run daily diff pipelines to identify new product launches, discontinued shades, and price changes without full catalogue re-scrapes.
Brief in. Clean data out.
Specify target categories, required fields, and geographic locales for the extraction.
We configure Playwright scripts to handle Tarte's Salesforce Commerce Cloud frontend and shade selector logic.
We verify variant mapping accuracy, price extraction, and null-rate thresholds against sample data.
Structured data is exported as JSON, CSV, or Parquet and pushed directly to your S3 bucket or data warehouse.
Tarte's architecture relies heavily on dynamic rendering for variants and pricing. Our infrastructure handles the execution layer automatically.
Shade availability and pricing often require JavaScript execution to simulate user selection. We use Playwright to interact with the DOM and extract accurate state data for every variant.
Cosmetics data is hierarchical. Our parsers automatically map child SKUs (specific shades) to their parent product IDs, ensuring relational integrity in the final dataset.
Frequent requests to pricing APIs trigger rate limits. We distribute traffic across residential proxy networks to maintain high concurrency without triggering Cloudflare blocks.
Ingredient lists and product descriptions are often formatted inconsistently. We apply regex and parsing logic to normalise text into clean arrays and boolean flags.
Products like Shape Tape have tens of thousands of reviews. Our crawlers manage infinite scroll and API pagination to extract the entire historical corpus.
Beauty brands track Tarte's promotional cadence, sitewide discounts, and bundle pricing to inform their own promotional strategies.
Product development teams analyse shade matrices and out-of-stock patterns to identify gaps in the market for specific undertones.
Formulators track the inclusion of key active ingredients (like Maracuja oil) to monitor shifts in skincare-makeup hybrid trends.
Marketing teams run NLP models over review text to understand product efficacy complaints and demographic preferences.
Retailers scrape primary images and swatches to ensure their third-party product listings match Tarte's official brand assets.
Analysts correlate review velocity and best-seller rankings to estimate sales volume for flagship products.
"Cosmetics data is inherently multi-dimensional. A single concealer SKU contains fifty shade variants, distinct ingredient lists, and complex promotional logic."
Extracting beauty catalogues requires more than simple HTTP GET requests. Tarte's Salesforce Commerce Cloud architecture relies on dynamic JavaScript for shade selection, pricing updates, and inventory state. We manage the rendering layer and proxy rotation so you receive structured, variant-mapped data without the engineering overhead.
Everything supported by our tartecosmetics.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.
We utilise Scrapy for robust crawl orchestration and Playwright for executing JavaScript required by Salesforce Commerce Cloud storefronts.
Traffic is routed through residential IP pools to bypass rate limits and geographic blocks, ensuring consistent data access.
Pipelines are deployed on Kubernetes and scheduled via Apache Airflow, providing scalable execution for large catalogue extractions.
Data delivered to where your team already works — no new tooling required.
About tartecosmetics.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline maps every child variant to its parent product, extracting specific shade names, hex codes, descriptions, and stock statuses.
We capture both the base price and the current promotional price, along with any active discount badges or promo codes displayed on the product page.
We extract both the raw ingredient string and parse it into structured arrays where possible, isolating key active ingredients from the base formula.
Yes. We configure the pipeline to target specific locales (e.g., US, UK, EU) by routing requests through regional proxies and setting appropriate session cookies.
We support daily, weekly, or monthly cadences. For pricing and inventory monitoring, daily runs are typically recommended.
We extract the high-resolution URLs for primary product images, shade swatches, and secondary gallery assets. We do not host the image files directly.
We utilise API endpoints and pagination logic to extract historical review data efficiently without loading unnecessary frontend assets.
20-minute scoping call. Pilot dataset within the week. Production within two. Acquire structured catalogue, shade, and pricing data without managing proxies or parsers. Define your schema and let us handle the infrastructure.
