Pricing intelligence for auto parts teams
Track tire prices across Autodoc, Tirerack, and competitor catalogues — and detect gray-market sales of your branded parts before margin erosion compounds.
- Autodoc
- Tirerack
- Carparts.com
- ATU
- Oponeo
- Mister Auto
- Eurocarparts
- Reifen Direkt
- RockAuto
- Discount Tire
- ebay Motors
- Amazon Automotive
Where auto parts pricing falls apart at catalogue scale
Three structural gaps every auto parts pricing or distribution team eventually hits.
- 100K+SKUs in a typical aftermarket catalogue
Catalogues too deep for manual coverage
Tires alone span thousands of size + tread variants. Brakes, filters, fluids — manual price tracking dies at this scale.
- 30%+Cross-border pricing drift
Distribution drift you can't see
Autodoc, ATU, regional retailers — the same OEM part varies 30%+ across borders. Strategy runs on guesses without automated monitoring.
- ConstantlyIn-house scrapers break
Engineering time consumed by maintenance
Most auto parts retailers built in-house scrapers years ago. Every site redesign breaks them — engineers spend their week on scraper upkeep.
What Scrapewise actually does for auto parts teams
Three things, simply: catalogue-scale coverage, cross-border visibility, self-healing infrastructure.
Catalogue-scale coverage
Track 100,000+ SKUs across Autodoc, regional retailers, and marketplaces — no code, no custom scrapers.
Cross-border pricing visibility
Same OEM part compared across countries and currencies, normalized in one structured table.
Self-healing infrastructure
When auto parts portals redesign, our system adapts automatically. No engineering team chasing broken scrapers.
How an auto parts team gets up and running
Five steps from blank canvas to live catalogue pricing flowing into your ERP.
- 01
Map your competitor universe
List Autodoc, regional retailers, marketplaces, and gray-market channels you want covered — across countries you sell into.
- 02
Configure parts scrape templates
Tell Scrapewise which fields to extract — product name, OEM number, price, currency, availability. No code.
- 03
Run + verify catalogue extraction
First scrape pulls thousands of SKUs in minutes. Confirm cross-border normalization matches your ERP schema.
- 04
Pipe into your ERP / pricing engine
CSV, Google Sheets, REST API, or webhooks. SAP, Oracle, your in-house pricing engine — your call.
- 05
Layer brand-protection scrapes
Add gray-market and unauthorized reseller monitoring on top of the same data infrastructure.
What you can build on top of Scrapewise auto parts data
Each auto parts team need maps to a specific Scrapewise use case. Pick the one matching your mandate.
- Industry needTrack tire + parts pricing across cataloguesUse caseCompetitor price trackingRead more →
- Industry needDetect unauthorized resellers of OEM partsUse caseMAP monitoringRead more →
- Industry needPull catalogue data into ERP / BIUse caseProduct data extractionRead more →
- Industry needRun cross-border distribution analysisUse caseE-commerce market researchRead more →
- Industry needFeed AI parts-matching modelsUse caseData for AI and LLMsRead more →
Automotive Pricing Software That Actually Scales
Catalogue-Scale Tire Scraper Coverage
Track 100,000+ SKUs across Autodoc, regional retailers, and marketplaces — without writing a line of code or maintaining a custom scraper.
Cross-Border Pricing Visibility
Compare the same OEM part across countries and currencies, normalized into a single structured table. See drift before it bites your distribution P&L.
Gray-Market + Unauthorized Reseller Detection
Monitor eBay, marketplaces, and regional sites for unauthorized listings of your branded parts — with automated alerts and audit-ready evidence.
From Scraper Maintenance to Pricing Decisions
Auto parts teams using Scrapewise stop spending engineering time on scraper upkeep. The data refreshes daily, the team focuses on pricing and distribution decisions, and the catalogue coverage actually scales.
- ✕ Engineering time consumed by scraper maintenance
- ✕ Tire and parts catalogue partially covered, partially stale
- ✕ Cross-border pricing drift invisible until it hurts
- ✕ Gray-market enforcement runs on volunteer effort
- ✕ No defensible evidence for distribution disputes
- ✓ Engineering time goes back to product, not scraper babysitting
- ✓ 100,000+ SKUs across the entire catalogue, refreshed daily
- ✓ Cross-border pricing in a single normalized schema
- ✓ Automated gray-market and unauthorized reseller monitoring
- ✓ Timestamped, source-linked evidence ready for distribution conversations
Plugs into the tools auto parts teams already run
Pipe Scrapewise data into your ERP, pricing engine, and BI stack.
SAP
ERP
Oracle ERP
ERP
Power BI
BI / dashboards
Tableau
BI / analytics
Google Sheets
Spreadsheet sync
Excel / CSV
Direct export
Snowflake
Data warehouse
Webhooks + REST API
Custom integrations
If you can hit a webhook or read a Google Sheet, you can integrate Scrapewise.
Adjacent capabilities for auto parts teams
Use cases, comparisons, and reading you'll likely need once your auto parts data layer is live.
Use cases
Compare alternatives
An Unauthorized Reseller Just Listed Your OEM Part. Did You Notice?
Stop running auto parts pricing on broken scrapers and stale spreadsheets. Scrapewise gives automotive teams the structured data layer to actually defend margin.
Frequently Asked Questions
Common questions from auto parts pricing, distribution, and brand-protection teams.
Yes. Autodoc, regional auto parts retailers, and marketplaces are all supported. Scrapewise extracts product data — name, OEM number, price, availability — into a single structured table.