Scraping eBay

Monitoring eBay manually for pricing shifts wastes hours and often misses bulk updates or stealth repricing. We built systems to automate price tracking at the SKU and seller level.

• Capture live and historical price deltas per item
• Flag price wars and undercutting patterns
• Map seller IDs to price volatility behavior

One client scaled this into a dashboard covering 7,400+ SKUs. With real-time alerts and price maps, they cut price monitoring overhead by 93% and improved reaction speed from 12 hours to under 30 minutes.

MAP policy violations on eBay aren’t always visible—they appear in brief offer listings or under alt-seller names. GroupBWT pipelines surface violations with legal-grade clarity.

• Tag unauthorized seller aliases across listings
• Detect policy breaches (MAP, stockouts) in near real-time
• Generate evidence logs for enforcement

A DTC brand under NDA reduced compliance incident response time by 4× and recovered over $180K annually through accurate, structured MAP alerts.

Duplicate listings confuse product feeds, inflate catalog size, and mislead price match engines. We built a system to auto-detect and consolidate clones.

• Detect identical images or item metadata across listings
• Group variants (condition, quantity, bundles) under SKUs
• Auto-clean clones and flag bad actors

After ingesting 32,000+ item records, the client slashed catalog bloat by 38%, streamlining inventory for channel partners and syndication APIs.

Star ratings don’t tell the full story. We use structured feedback and dispute tracking to help teams spot unreliable sellers before problems occur.

• Extract dispute rates, refund behavior, and review trends
• Score business vs. private seller reliability
• Correlate rating drops to delivery delays or fake stock

This helped one procurement team under an NDA flag 12 high-risk suppliers before contract, avoiding an estimated $400K in bad inventory exposure.

Availability drift affects promo campaigns and delivery promises. We extract item stock data across regions and sellers to maintain SKU visibility.

• Track “quantity left” fields and backorder signals
• Detect false-in-stock listings with zero-shipment flags
• Log timestamped availability per seller

For a cross-platform seller syncing 9 marketplaces, this reduced backorder risk by 65% and enabled SLA-aligned listing removal.

eBay’s product info is often scattered across listing body, metadata, and images. We normalize item data into structured, ingestible formats.

• Parse item specifics: brand, model, accessories, tags
• Standardize listing categories and grouping rules
• Detect category misplacements or listing errors

A global electronics brand used this to prep over 50K listings for syndication. Time-to-publish dropped from 3 weeks to 3 days per batch.

Image data often holds product truth—what’s bundled, damaged, or mislabeled. We built a visual pipeline for structured media classification.

• Classify OEM vs. user-submitted images
• Detect missing images or visual defects
• Tag duplicates and reuse across variants

For a catalog QA team, this cut visual audit time by 70% and enabled automated checks before promotions or channel sync.

Understanding auction flow means more than tracking end prices. Our tools scrape full bidding ladders and behavior patterns.

• Capture start/end, bids, reserve met, final price
• Analyze bid spacing, velocity, and last-minute jumps
• Link bidders to relisted items or price testing

One eCommerce intelligence team used this to model real-time value floors on over 15 product categories, optimizing their own pricing strategy.

Reviews and Q&A threads reflect emerging product issues before returns spike. We structured these into early-warning insights.

• Extract review content, timestamps, and response chains
• Classify sentiment, detect repeated failure points
• Link issues to batch/SKU timelines

This pipeline flagged a surge in defective accessories for one SKU line, prompting a vendor recall within 48 hours, avoiding further escalations.

Sellers often game categories to boost visibility. Our engine detects listings placed outside proper taxonomy bounds.

• Match item details to the correct category path
• Flag off-category placements and exposure manipulation
• Deliver structured correction logs

For a large-scale data buyer, this reduced filtering errors by 80% and improved targeting for paid campaigns across Google Shopping and affiliate platforms.