Build a car specs dataset in CSV or JSON
Turn a car brand into a ready-to-analyze dataset: specs and performance per variant, exported to CSV, JSON or Excel for BI and ML. By Mr Bridge.
Car Data Scraper: specs, performance & technical datamrbridge/car-data-scraper
Make
Model
Generation
Modification / Variant
+30 fieldsTextNumberBooleanListObject
Input
Input mode:brand
Brand:Toyota
Max items:1000
Output fields
Make
Model
Generation
Modification / Variant
Canonical variant ID
Production year start
Production year end
Fuel type
Engine displacement (cc)
Power (hp)
Power (kW)
Torque (Nm)
0-100 km/h (s)
Top speed (km/h)
Cylinders
Valves
Compression ratio
Transmission
Gears
Drive type
Body type
Doors
Seats
Length (mm)
Width (mm)
Height (mm)
Wheelbase (mm)
Curb weight (kg)
Fuel consumption (L/100km)
CO2 emissions (g/km)
Sources
Conflicts
Dedupe confidence
Scraped at
Sign up on Apify01
Create your Apify account to access the Car Data Scraper: specs, performance & technical data.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
