We extract product listings, ingredient matrices, brand portfolios, and pricing signals from Vanity Wagon. 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 vanity-wagon.com. All fields typed and schema-versioned.
"sku": "VW-10492", "title": "COSRX Advanced Snail 96 Mucin Power Essence", "brand": "COSRX", "price": 1450.0, "discount_pct": 15, "in_stock": true, "rating": 4.6, "review_count": 1248
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ingredients & Certifications objects from vanity-wagon.com. All fields typed and schema-versioned.
"sku": "VW-10492", "key_ingredients": "['Snail Secretion Filtrate', 'Sodium Hyaluronate']", "vegan_certified": false, "cruelty_free": true, "paraben_free": true, "sulphate_free": true
| # | sku | ingredient_list | key_ingredients | vegan_certified | cruelty_free | ecocert |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from vanity-wagon.com. All fields typed and schema-versioned.
"sku": "VW-10492", "price": 1450.0, "list_price": 1705.0, "discount_pct": 15, "belle_points_earned": 145, "coupon_eligible": true, "currency": "INR"
| # | sku | price | list_price | discount_pct | coupon_eligible | belle_points_earned |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from vanity-wagon.com. All fields typed and schema-versioned.
"review_id": "REV-9921", "sku": "VW-10492", "star_rating": 5, "verified_buyer": true, "skin_type": "Combination", "skin_concern": "Acne", "review_date": "2026-03-14"
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Brand Portfolios objects from vanity-wagon.com. All fields typed and schema-versioned.
"brand_id": "BR-042", "brand_name": "COSRX", "origin_country": "South Korea", "total_products": 48, "active_products": 41, "average_discount": 12.5
| # | brand_id | brand_name | brand_description | origin_country | total_products | active_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Vanity Wagon scraper handles every layer of the platform: storefront listings, dynamic pricing, ingredient matrices, brand intelligence, and the review corpus — with JavaScript rendering and anti-bot circumvention built in.
Title, description, usage instructions, dimensions, volume, images, and every metadata field Vanity Wagon surfaces — scraped at SKU level.
Extract raw ingredient strings and parse key actives. Track presence of parabens, sulphates, and artificial fragrances.
Capture clean beauty markers including Vegan, Cruelty-Free, Ecocert, and organic percentage claims per product.
Capture price, list price, discount percentages, and Belle Rewards points earned — timestamped per crawl.
Track in-stock status and out-of-stock frequency across entire brand portfolios to gauge supply chain health.
Full review text, star ratings, verified buyer flags, and user profiles including skin type and skin concern.
Monitor active product counts, average discount depth, and category dominance for every brand hosted on the platform.
Preserve the exact site hierarchy from top-level categories (Skincare, Haircare) down to specific sub-categories.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide brand URLs, category links, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for vanity-wagon.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern eCommerce sites invest heavily in scraping detection. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Vanity Wagon utilises Cloudflare to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints and automated Turnstile solving capabilities to maintain access.
Modern storefronts rely on client-side rendering for pricing and inventory states. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
eCommerce DOM structures change frequently. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and JSON-LD extraction — so a layout update doesn't break your data pipeline.
For large product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and coverage drops — and respond before you notice.
Clean beauty brands audit third-party sellers for MAP violations and track promotional discount depth.
R&D teams parse ingredient matrices to identify trending actives like Niacinamide or Bakuchiol in new product launches.
D2C brands track catalogue gaps, pricing tiers, and review sentiment against competing products in the same category.
ML teams use structured ingredient lists and skin-type specific reviews to train cosmetic recommendation engines.
Analysts track the proliferation of Vegan, Cruelty-Free, and Ecocert claims across the Indian market.
Supply chain teams monitor out-of-stock rates across competing brands to identify supply chain vulnerabilities.
"Vanity Wagon aggregates the Indian clean beauty market, but extracting structured ingredient matrices and pricing signals requires dedicated pipeline infrastructure."
Most teams underestimate the complexity of parsing unstructured ingredient lists and bypassing modern anti-bot protections. DataFlirt handles the Cloudflare challenges, proxy rotation, and schema normalisation so your engineers can focus on product analysis, not DOM maintenance.
Everything supported by our vanity-wagon.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across IN/US/UK/DE regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About vanity-wagon.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Vanity Wagon is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and automated Turnstile solving capabilities to bypass bot mitigation layers effectively.
Full catalogue refreshes run at a daily cadence, ensuring you have the latest pricing, discount, and inventory data within a 6-12 hour window. Faster cadences are available for specific SKU subsets.
Yes. We extract the raw ingredient string and use regex and NLP models to structure key active ingredients, flagging specific compounds or certifications based on your requirements.
Our smallest packages start at a defined brand list or category subset with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
