We extract product catalogues, bundle pricing, ingredient formulations, customer reviews, and salon locator data from olaplex.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 Product Listings objects from olaplex.com. All fields typed and schema-versioned.
"sku": "No.3", "title": "Hair Perfector", "price": 30.0, "currency": "USD", "size_ml": 100, "stock_status": "in_stock"
| # | sku | title | product_type | price | currency | size_ml |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from olaplex.com. All fields typed and schema-versioned.
"review_id": "rev_9182", "sku": "No.4", "rating": 5, "hair_type": "Colour Treated", "hair_concern": "Damage", "verified_buyer": true
| # | review_id | sku | author | rating | review_text | hair_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Salon Locator objects from olaplex.com. All fields typed and schema-versioned.
"salon_id": "sal_104", "name": "Studio 45", "city": "London", "postcode": "E1 6AN", "pro_certified": true, "latitude": 51.5074
| # | salon_id | name | address | city | state | postcode |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients objects from olaplex.com. All fields typed and schema-versioned.
"sku": "No.7", "sulfate_free": true, "vegan": true, "ph_level": "4.0-5.0", "key_ingredients": "Bis-Aminopropyl Diglycol Dimaleate", "cruelty_free": true
| # | sku | full_ingredient_list | key_ingredients | sulfate_free | paraben_free | vegan |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bundles objects from olaplex.com. All fields typed and schema-versioned.
"bundle_id": "bun_01", "title": "Rescue Kit", "price": 60.0, "value_price": 84.0, "discount_percentage": 28, "included_skus": "No.0, No.3"
| # | bundle_id | title | price | value_price | discount_percentage | included_skus |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Olaplex scraper handles the headless Shopify architecture, extracting ingredient metadata, paginated third-party reviews, and dynamic salon locator map APIs.
Title, description, size variations, and core metadata extracted per SKU across the entire consumer line.
Capture base price, bundle discounts, and auto-replenish subscription rates timestamped per crawl.
Extract full ingredient lists, key active components, pH levels, and free-from claims.
Capture structured clinical results and percentage-based efficacy claims attached to specific SKUs.
Extract paginated review text, star ratings, and customer hair profiles from integrated third-party review platforms.
Scrape the salon directory map API to extract thousands of certified Olaplex professional locations globally.
Map individual SKUs to promotional bundles to calculate actual discount percentages and perceived value.
Extract recommended product sequences and routine steps dynamically generated by the Olaplex site.
Monitor inventory status for high-demand SKUs to track restock patterns and supply chain signals.
Brief in. Clean data out.
Specify required data points: full catalogue, specific SKUs, review history, or salon geographic regions.
We configure Scrapy and Playwright crawlers to handle headless Shopify endpoints and dynamic map APIs.
Schema validation, null-rate checks, and data normalisation for ingredient lists before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on an agreed daily or weekly cadence.
Modern DTC sites use heavy JavaScript and third-party API integrations. We bypass the DOM and target the underlying data structures.
Rather than scraping the rendered DOM, our pipeline intercepts the underlying Shopify GraphQL queries. This yields cleaner, highly structured product data and bypasses frontend layout changes.
Olaplex relies on external providers for customer reviews. We target these specific API endpoints to paginate through thousands of reviews, capturing custom fields like hair type and concern.
To extract the complete salon network, we programmatically generate overlapping bounding-box queries against the store locator API, ensuring zero missing locations across global markets.
Ingredient lists are often presented as unstructured text blocks. Our pipeline splits and normalises these lists into queryable arrays, separating active compounds from base formulas.
We utilise residential IP pools and strict concurrency limits to match typical consumer traffic patterns, preventing IP bans from edge protection services.
Beauty retailers and competing brands monitor Olaplex DTC pricing, bundle discounts, and subscription incentives.
Cosmetic chemists and R&D teams extract ingredient lists and clinical claims to analyse market trends in bond-building haircare.
Consumer insight teams process thousands of reviews to correlate specific hair types with product efficacy and common complaints.
Sales teams extract salon locator data to map professional distribution networks and identify regional market penetration.
eCommerce analysts study Olaplex routine builders and cross-sell logic to optimise their own digital storefronts.
Brand protection agencies monitor authorised salon lists to cross-reference against third-party marketplace sellers.
"Olaplex.com holds the blueprint for premium DTC haircare, but extracting structured clinical claims and review sentiment requires a dedicated pipeline."
Most teams underestimate the complexity of scraping headless Shopify builds. Extracting paginated reviews from third-party widgets and mapping thousands of certified salons requires proxy rotation and dynamic hydration. DataFlirt handles the infrastructure so your analysts can focus on haircare market intelligence.
Everything supported by our olaplex.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.
Playwright network interception isolates the exact JSON payloads from Shopify and review providers, bypassing the need for brittle DOM parsing.
Custom Python modules generate precise coordinate grids to systematically exhaust the salon locator API without missing regional data.
Post-processing tasks run on Airflow to clean ingredient lists, standardise currency formats, and map bundle SKUs before warehouse delivery.
Data delivered to where your team already works — no new tooling required.
About olaplex.com scraping, legality, and pipeline operations.
Ask us directly →No. The Olaplex Pro portal requires authenticated professional credentials to access wholesale pricing and professional-only SKUs. We only extract publicly available consumer data and salon locator information.
We bypass the visual map interface and query the underlying location API directly. By programmatically generating bounding boxes that cover target geographic areas, we extract the complete dataset of certified salons.
Yes. We target the third-party review widget API to extract the complete historical review corpus, including custom fields like hair type, hair concern, and verified buyer status.
Stock status pipelines can be configured to run daily or hourly depending on your requirements. We use change-detection logic to alert you only when a SKU goes out of stock or is replenished.
Yes. We parse the raw ingredient text blocks into structured arrays, separating active compounds and standardising the nomenclature for easier database querying.
Yes. By routing requests through our residential proxy network in different countries, we can extract localised pricing, currency variations, and region-specific product availability.
20-minute scoping call. Pilot dataset within the week. Production within two. From ingredient analysis to global salon mapping, we build and maintain the extraction infrastructure. Specify your data requirements and we handle the rest.
