We extract flash sale events, brand catalogues, pricing signals, and inventory depth from Veepee. 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 Campaigns and Events objects from veepee.com. All fields typed and schema-versioned.
"event_id": "VP849201", "brand_name": "Diesel", "start_time": "2026-05-12T06:00:00Z", "end_time": "2026-05-15T23:59:59Z", "category": "Apparel", "status": "active", "discount_up_to": 70
| # | event_id | brand_name | start_time | end_time | banner_url | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Product Listings objects from veepee.com. All fields typed and schema-versioned.
"product_id": "PRD948172", "title": "Slim Fit Denim Jacket", "brand": "Diesel", "original_price": 150.0, "sale_price": 45.0, "discount_pct": 70, "currency": "EUR", "material": "100% Cotton"
| # | product_id | title | brand | category | event_id | original_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants and Stock objects from veepee.com. All fields typed and schema-versioned.
"product_id": "PRD948172", "variant_id": "VAR948172-M-BLU", "size": "M", "colour": "Blue", "stock_status": "in_stock", "low_stock_warning": true, "sku": "DSL-JKT-M-BLU"
| # | product_id | variant_id | size | colour | stock_status | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing and Delivery objects from veepee.com. All fields typed and schema-versioned.
"product_id": "PRD948172", "sale_price": 45.0, "original_price": 150.0, "discount_abs": 105.0, "shipping_cost": 5.99, "delivery_min_days": 3, "delivery_max_days": 5
| # | product_id | sale_price | original_price | discount_abs | shipping_cost | delivery_min_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media and Assets objects from veepee.com. All fields typed and schema-versioned.
"product_id": "PRD948172", "main_image_url": "https://img.veepee.com/prd/948172-main.jpg", "gallery_urls": "['https://img.veepee.com/prd/948172-alt1.jpg', 'https://img.veepee.com/prd/948172-alt2.jpg']", "image_count": 3, "brand_logo_url": "https://img.veepee.com/brd/diesel.png", "aspect_ratio": "3:4"
| # | product_id | main_image_url | gallery_urls | video_url | size_guide_url | brand_logo_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Veepee scraper handles flash sale volatility: gated login management, dynamic pricing, fast-moving inventory, and variant mapping, with session persistence and anti-bot circumvention built in.
Extract event start times, end times, brand names, and banner imagery for all active and upcoming campaigns.
Automated login flows and session cookie rotation to access member-only pricing and catalogues without manual intervention.
Capture sale price, retail price, absolute discount, and discount percentage for every item in a flash sale.
Extract all available sizes, colours, and specific stock statuses per variant linked to the parent product.
Monitor stock depletion rates during peak flash sale hours to calculate sales velocity and demand signals.
Capture high-resolution product images, brand logos, and size guide charts directly from Veepee CDNs.
Extract data from veepee.fr, veepee.es, veepee.it, and other regional domains with localised currency and language.
Track shipping timelines, minimum and maximum delivery days, and associated shipping costs per item.
Run one-off event exports or configure continuous pipelines at hourly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target brands, categories, or regional domains. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for veepee.com.
Schema validation, null-rate checks, price-outlier detection, and sample data before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Veepee uses strict authenticated sessions and aggressive rate limiting. Here is how we maintain stable extraction.
Veepee requires users to be logged in to view sales. We manage pools of authenticated sessions, rotating cookies and tokens across requests to distribute load and prevent account bans.
Flash sales generate massive traffic spikes at 7 AM. Our infrastructure scales dynamically to capture entire brand catalogues in the first minutes of a sale before stock depletes.
Veepee relies heavily on client-side rendering. We run full Playwright browser sessions to execute JavaScript, hydrate product grids, and intercept API responses directly.
We monitor stock indicators and "sold out" badges across variants, providing accurate inventory depletion data without triggering aggressive rate limits.
Veepee operates across multiple European markets. Our schema normalises prices, sizes, and categories across regions, delivering a unified dataset regardless of the source domain.
Fashion brands monitor Veepee to ensure third-party liquidators are not dumping stock below agreed MAP thresholds.
Retailers track discount depths and clearance strategies of competing brands during major flash sale events.
Analysts track which sizes and colours sell out first to inform future manufacturing and procurement decisions.
Brands identify unauthorised distributors using Veepee as a liquidation channel for out-of-season stock.
Consultancies analyse flash sale frequency and brand participation to map the European off-price retail landscape.
Logistics firms use delivery estimate data to model volume spikes and regional distribution requirements.
"Veepee moves millions of units in hours through gated flash sales. Capturing this data requires high-frequency authenticated scraping before the event ends."
Most teams fail at Veepee extraction due to strict login walls, aggressive rate limits, and the ephemeral nature of flash sales. DataFlirt manages session pools, proxy rotation, and high-concurrency scheduling so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our veepee.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 European regions. Rotation happens per request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda for burst scaling during flash sales and ECS for sustained loads. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About veepee.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only product, pricing, and campaign data. We do not extract personal data or violate GDPR. Clients should review Veepee terms of service and consult legal counsel for specific use cases.
We maintain managed pools of authenticated sessions. Our infrastructure rotates cookies and session tokens across residential proxies to distribute request load and mimic human browsing behaviour, ensuring stable access to member-only catalogues.
We support veepee.fr, veepee.es, veepee.it, veepee.de, and other European domains. Our schema normalises pricing, sizing, and categories across these regions to provide a unified dataset.
Our infrastructure scales dynamically to handle the 7 AM traffic spikes. We can extract entire brand catalogues within minutes of a sale launching, providing critical early-stage pricing and stock data.
Yes. We can configure high-frequency polling on specific campaigns to monitor stock indicators and sold-out flags, allowing you to model sales velocity and demand.
Absolutely. We provide a sample run of up to 500 products or 5 active campaigns as part of the pre-engagement scoping process, so you can validate schema fit 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 brand extract or a continuous flash sale feed, we scope, build, and operate the pipeline. Tell us what you need.
