Rank independent repair shops for acquisition research using transparent component scores and red flags.
1
Users / 30d
6
Runs / 30d
—
Rating
Updated 15 Sept 2026
Apify builder
@repairiq
Leaderboard position
out of 6,248
New Actors / 30d
#5033
Total Actors
#989
Active users / 30d
#1458
Total users
#2519
Runs / 30d
#2733
Total runs
#3573
Portfolio stats
New Actors / 30d
0
Total Actors
10
Active users / 30d
10
+5 since first snapshot
Total users
20
Runs / 30d
65
+60 since first snapshot
Total runs
247
Portfolio history
Daily publishing
0
Each bar represents one UTC day.
No new public Actors were detected during this 30-day window.
Actor portfolio
10 matching of 10 Actors · page 1 of 1
Rank independent repair shops for acquisition research using transparent component scores and red flags.
1
Users / 30d
6
Runs / 30d
—
Rating
Persist shop snapshots and emit structured technology, hiring, reputation, and capability changes.
1
Users / 30d
7
Runs / 30d
Detect repair-shop hiring and capacity-pressure signals with role-specific evidence.
1
Users / 30d
7
Runs / 30d
Detect repair-specific CX pain, trend changes, and sales opportunities from supplied reviews.
1
Users / 30d
7
Runs / 30d
Upload repair-shop websites and identify their shop-management software, online booking, payments, financing and customer-experience tools. Every detection includes evidence and a confidence score.
1
Users / 30d
7
Runs / 30d
Suite variant of the software detector: emits every detection as a shared signal-contract envelope for the automotive intelligence pipeline.
1
Users / 30d
7
Runs / 30d
Find catalog errors before customers receive the wrong part: duplicate, overlapping, and contradictory applications, year gaps, invalid ranges, inconsistent brands and part numbers.
1
Users / 30d
6
Runs / 30d
Track first-seen dates, price drops, cohort pricing, and aging risk for supplied powersports listings.
1
Users / 30d
6
Runs / 30d
Turn auction lots into landed-cost decisions: classified equipment, extracted buyer premium, itemized cost basis, and a deal score with every assumption labeled.
1
Users / 30d
6
Runs / 30d
Return only new listings, price changes, and market movement for a dealer's acquisition criteria - normalized, deduplicated, and compared against a cohort median.
1
Users / 30d
6
Runs / 30d
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