We extract product listings, shade variations, ingredient matrices, and customer reviews from Fenty Beauty. 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 fentybeauty.com. All fields typed and schema-versioned.
"product_id": "FB-PROFILTR-FDN", "title": "Pro Filt'r Soft Matte Longwear Foundation", "brand": "Fenty Beauty", "category": "Makeup > Face > Foundation", "price": 40.0, "rating": 4.6, "review_count": 12450, "vegan_flag": true, "cruelty_free_flag": true
| # | product_id | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shade Variations objects from fentybeauty.com. All fields typed and schema-versioned.
"sku": "FB-FDN-290", "product_id": "FB-PROFILTR-FDN", "shade_name": "290", "shade_number": "290", "shade_description": "Medium to tan with warm olive undertones", "hex_code": "#D29B72", "colour_family": "Medium", "undertone": "Warm Olive", "stock_status": "IN_STOCK"
| # | sku | product_id | shade_name | shade_number | shade_description | hex_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from fentybeauty.com. All fields typed and schema-versioned.
"review_id": "REV-849201", "product_id": "FB-PROFILTR-FDN", "rating": 5, "review_title": "Flawless finish", "skin_type": "Combination", "skin_tone": "Medium", "age_range": "25-34", "helpful_votes": 42, "review_date": "2023-10-14"
| # | review_id | product_id | rating | review_title | review_text | reviewer_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients objects from fentybeauty.com. All fields typed and schema-versioned.
"product_id": "FS-FATWATER", "ingredient_list_raw": "Aqua/Water/Eau, Niacinamide, Glycerin...", "key_ingredients": "['Niacinamide', 'Barbados Cherry']", "formulated_without": "['Parabens', 'Phthalates']", "contains_fragrance": true, "contains_parabens": false, "contains_sulfates": false
| # | product_id | ingredient_list_raw | key_ingredients | formulated_without | contains_fragrance | contains_parabens |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from fentybeauty.com. All fields typed and schema-versioned.
"sku": "FB-FDN-290", "base_price": 40.0, "discount_price": 32.0, "currency": "USD", "stock_status": "IN_STOCK", "bundle_flag": false, "promotional_badge": "20% OFF SITEWIDE", "scraped_at": "2023-11-24T08:15:00Z"
| # | sku | product_id | base_price | discount_price | currency | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Fenty Beauty scraper captures the entire product catalogue, including complex shade variations, detailed ingredient lists, and granular customer review data filtered by skin type.
Extract titles, descriptions, categories, usage instructions, and marketing copy for every product across Fenty Beauty and Fenty Skin.
Capture the famous 50+ shade ranges. We map shade numbers, descriptions, hex codes, undertones, and colour families to the parent product.
Retrieve full INCI ingredient lists, key active ingredients, and clean beauty flags directly from the product pages.
Scrape customer reviews including specific demographic tags like skin type, skin tone, and age range for deep sentiment analysis.
Track base prices, discount prices, promotional badges, and currency variations across different regional storefronts.
Monitor inventory status at the SKU level. Track when specific shades go out of stock or return to the catalogue.
Map the exact site navigation structure to understand how products are grouped and merchandised.
Identify product bundles and sets, extracting the individual component products and calculating the implied discount.
Capture high-resolution product images, shade swatches, and model photography URLs for every variant.
Extract 'Frequently Bought Together' and 'Complete The Look' product recommendations to map correlation.
Brief in. Clean data out.
Select target categories, specific product lines, or the entire catalogue. We design the extraction schema together.
We configure Playwright crawlers to handle dynamic shade selectors, proxy rotation, and anti-bot bypass.
Schema validation, null-rate checks on ingredient lists, and shade matrix verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fenty Beauty relies heavily on JavaScript for shade selection and dynamic inventory. We handle the rendering and state management.
Fenty Beauty loads shade variations and specific stock statuses dynamically via JavaScript. We run full Playwright browser sessions to trigger these frontend frameworks and capture the complete matrix.
Cosmetic data is highly nested. We maintain strict relational mapping between parent products and their dozens of child SKUs, ensuring shade-level data is correctly attributed.
Modern eCommerce platforms use advanced bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints and automated CAPTCHA solving to maintain access.
We maintain a state index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and downstream processing load for your engineering team.
Ingredient formats can vary between older and newer products. We normalise these text blocks into structured arrays, separating active ingredients from base formulas.
Beauty brands track Fenty's pricing strategies, promotional calendars, and bundle discounts to optimise their own positioning.
Cosmetic developers analyse shade matrices and undertone distributions to identify underserved demographics in their own lines.
Formulators monitor the inclusion of active ingredients like Niacinamide or Hyaluronic Acid across new product launches.
Marketing teams cross-reference review text with demographic data (skin type, age) to understand product performance on specific user segments.
Retail analysts track out-of-stock rates across specific shade ranges to estimate demand velocity and production constraints.
Agencies build comprehensive market maps of the celebrity beauty sector, using Fenty as the baseline for catalogue breadth and pricing.
"Fenty Beauty set the industry standard for shade inclusivity. Analysing this matrix requires structured extraction of thousands of product variations."
Extracting cosmetic data is complex due to nested product variations and dynamic frontend frameworks. DataFlirt manages the JavaScript rendering, session state, and proxy rotation required to map the complete shade and ingredient catalogue without interruption. Your team receives clean data, not maintenance headaches.
Everything supported by our fentybeauty.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, cookie sessions, and frontend interaction flows required for cosmetic sites.
We maintain pools of residential ISP proxies across US and EU regions. Rotation happens per-request to avoid IP bans from enterprise security layers.
Pipelines run on AWS infrastructure. Airflow handles scheduling and dependency management. All state is stored in managed PostgreSQL databases.
Data delivered to where your team already works — no new tooling required.
About fentybeauty.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline renders the JavaScript shade selectors and extracts every single variation, including the shade number, description, hex code, undertone, and specific stock status for that SKU.
Yes. Fenty Beauty reviews often include customer-provided data such as skin type, skin tone, and age range. We extract these fields alongside the review text and star rating.
We can run the pipeline on your preferred schedule: hourly for stock and price monitoring, or weekly for full catalogue and review refreshes.
Yes. The pipeline is configured to navigate the entire fentybeauty.com domain, extracting data across all sub-brands and categories using a unified schema.
We capture the exact inventory status displayed on the site. If a specific shade is out of stock, it is recorded in the dataset rather than omitted, allowing you to track inventory gaps.
We extract the raw ingredient text block and can apply post-processing to split comma-separated lists into structured arrays, depending on your schema requirements.
Yes. We provide sample datasets during the scoping phase so you can validate the schema structure, especially how we handle parent-child SKU relationships.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous monitor for stock and pricing changes. We scope, build, and operate the pipeline. Tell us what you need.
