Go to example tasks
Get Weather records as JSON for an API pipeline
Created by
Goutam Soni
Machine-readable Weather records for an ETL job, a webhook consumer or any downstream service. Configured with both, imperial.
Weather Scraper - Forecast, History & Air Qualitygoat255/weather-scraper
Location
Type
Date
Conditions
+6 fieldsTextNumberBooleanListObject
Input
Locations:Singapore
What to collect:both
Forecast days:7
Output fields
Location
Type
Date
Conditions
High
Low
Precipitation
Max wind
Country
Timezone
Sign up on Apify01
Create your Apify account to access the Weather Scraper - Forecast, History & Air Quality.
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.
