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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.

Try for free
Car data scraper: specs, 0-60 times and power
Car data scraper: specs, 0-60 times and powermrbridge/car-data-scraper
Make
Model
Generation
Modification / Variant
+35 fields
Text
Number
Boolean
List
Object

Input

Input mode:brand
Brand:Toyota
Max items:25

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)
Power basis
Torque basis
Battery (kWh)
Electric range (km)
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)
CO2 standard
Sources
Conflicts
Dedupe confidence
Scraped at

How it works

Sign up on Apify or log in

The Car data scraper: specs, 0-60 times and power Actor is ready to run with the inputs already set for "Build a car specs dataset in CSV or JSON". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a car specs dataset in CSV or JSON" task

The Car data scraper: specs, 0-60 times and power Actor will start running based on the input automatically. You can also change all the input fields, like input mode, brand, and more, to match your specific use case.

Receive the "Build a car specs dataset in CSV or JSON" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as make, model, generation, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a car specs dataset in CSV or JSON" task via API.

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