Prices you can trust
A human analyst verifies every record to 99.5% field-level accuracy and stamps it with a verifier ID and timestamp. When you reprice, you're acting on facts, not a scraper's best guess.
Solutions — retail & eCommerce intelligence
Verified auto parts pricing intelligence for distributors
Competitor prices, stock levels, OEM-vs-aftermarket matches, and MAP compliance — checked by a human analyst to 99.5% accuracy and delivered to your systems. Stop pricing against bad data.
Manual price checking
Check a handful of listingsWhatever a person had time for
Skim marketplaces by handAmazon, eBay Motors, a few wholesale portals
- Only hero SKUs get checked; the long tail drifts
- Ghost listings — sold out, still priced against
- MAP violations caught late, if at all
- Superseded part numbers compared to the wrong part
Guesswork pricingNot enough to defend a margin call
Crawlify, managed
Watch every SKUAmazon, eBay Motors, RockAuto, AutoZone, O'Reilly, NAPA, Advance Auto, wholesale portals
Match by part number & fitmentOEM ↔ aftermarket equivalents, supersessions included
Verify every record99.5% field accuracy, verifier ID and timestamp
Flag ghosts & MAP breaksStock-correlated, with audit-trailed evidence
Confident pricing decisionsVerified, correlated, ready to act on
The reframe
Pricing auto parts on bad data costs you margin
If you distribute or sell auto parts, you're setting prices on thousands of SKUs across brands, tiers, and channels — and the ground moves daily. Most teams still track it in spreadsheets and browser tabs. That means you only see what you happened to check, when you checked it.
A competitor drops a popular filter Thursday night; you find out Monday, after losing the weekend. A "ghost" listing shows a rock-bottom price on a part that's actually out of stock, and you cut margin to chase it. A superseded part number silently breaks a comparison. An unauthorized reseller undercuts your MAP and nobody catches it by hand fast enough to matter.
That's the difference between checking a few prices and running pricing intelligence. Crawlify watches the whole catalog, not the twenty SKUs your team has time for, and correlates price with stock, brand tier, and match so a competitor's low price on something they've sold out of never reads as a threat. Coverage, not cadence, is what makes the signal trustworthy.
Definition
What is auto parts pricing intelligence?
Auto parts pricing intelligence is the continuous, verified tracking of competitor prices, stock levels, and product matches across every marketplace and channel where parts sell — correlated into signals a distributor can act on, not just a pile of raw numbers. It differs from a pricing dashboard or a scraping tool, which stop at raw extraction and leave verification, ghost-listing detection, and OEM-to-aftermarket matching to you.
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What Crawlify delivers
Signals, not raw data.
We connect price, stock, brand tier, and OEM-vs-aftermarket match into a single, decision-ready signal — delivered where you already work.
One signal, not five feeds
Price, stock, brand tier, and OEM-vs-aftermarket match, joined into a single line. "Competitor is cheaper AND out of stock" tells you to hold your price, not panic-cut it.
We catch the ghosts
Parts advertised cheap but actually unavailable get flagged, so you never chase a phantom listing down in margin.
MAP violations, with evidence
Unauthorized resellers undercutting your advertised price get caught with audit-trailed evidence — who advertised what, and when — so you can actually enforce it.
How It Works
A managed service, not another dashboard to babysit.
- 01
Tell us what to watch
Your SKUs or part numbers, the competitors and marketplaces that matter — Amazon, eBay Motors, RockAuto, AutoZone, O'Reilly, NAPA, Advance Auto, CarParts.com, 1A Auto, wholesale portals — and how often.
- 02
We collect and match
Our AI gathers prices, stock, and product details and matches parts across sources by part number and fitment, including OEM ↔ aftermarket equivalents and superseded numbers.
- 03
A human verifies every record
Analysts confirm accuracy to 99.5% at the field level and attach a verifier ID and timestamp. Ghost listings and anomalies get flagged.
- 04
You get decision-ready signals
Clean, correlated data in your format, on your schedule — spreadsheet, warehouse, ERP, or BI tool — traceable end to end.
Manual vs Managed
Where a verified, managed feed fits versus manual price checking.
| Stage | Manual (spreadsheets + tabs)Only what you checked, when you checked it. | Crawlify, managedVerified, correlated, and delivered — the whole catalog, not a sample of it. |
|---|---|---|
| Is the price or stock actually correct? | Only what you checked, when you checked it. | Human-verified to 99.5%, verifier ID and timestamp on every record. |
| Catches out-of-stock ghost listings | No. | Yes — flagged so you don't price against phantom stock. |
| OEM vs aftermarket, brand-tier context | Manual guesswork. | Verified matching, with brand-tier and stock context in one signal. |
| MAP violations with proof for enforcement | Screenshots by hand, if anyone remembers. | Alerts plus audit-trailed evidence — who advertised what, and when. |
| Where the data lands | Your spreadsheet. | Your stack — sheet, warehouse, ERP, BI, in your format. |
| Time to first data | Ongoing forever. | 30-day pilot. |
Case Study
Academic event data pipeline — ScholarMeet
Crawlify powers the data pipeline behind ScholarMeet. What would have taken our team weeks of manual work now runs continuously with verified accuracy.
www.scholarmeet.com
Read Full Case Study
Who this is for
Built for the people who own the price
- Pricing managers & category managers in automotive aftermarket distribution
- Purchasing / procurement managers and category buyers
- Owners & GMs of parts distributors and multi-location parts retailers
- Warehouse distributors (WDs), jobbers, and buying-group members managing retail, jobber, and wholesale price levels
- Brands & manufacturers protecting MAP across their reseller network
Frequently asked questions
It's the practice of continuously collecting and verifying competitor prices, stock levels, and product matches for automotive parts, then turning them into decisions — what to reprice, hold, or flag. Unlike a one-off price check, it's systematic and current across every channel where parts sell.
See verified parts pricing on your own SKUs
Send us your part numbers and the competitors that matter. In 30 days you'll have verified, decision-ready pricing signals in your systems — for $2,500. No new software to learn.
Start your 30-day pilot
Become a data partner
Working with us on a vertical where verified pricing becomes a shared dataset? That's the data-partner track.
Become Data Partner