Weather Forecast
Pricing
from $3.30 / 1,000 results
Weather Forecast
The Weather Forecast Scraper collects daily weather data for a city, including temperature, conditions, wind, humidity, precipitation, and UV index. It supports solar forecasting, trip planning, data dashboards, and research on weather and solar patterns.
Pricing
from $3.30 / 1,000 results
Rating
5.0
(3)
Developer

Acceleration
Actor stats
0
Bookmarked
7
Total users
6
Monthly active users
5 days ago
Last modified
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🌦 Weather Crawler (TimeAndDate)
Overview
Weather Crawler is an Apify Actor that scrapes extended 14 days weather forecast data from timeanddate.com for given locations. It extracts daily weather details such as temperature, conditions, wind, humidity, precipitation, UV index, and also enriches the data with latitude and longitude using the Open-Meteo Geocoding API.
Where you can use it?
- Weather dashboards
- Climate research datasets
- Travel & tourism apps
- Location-aware forecasting systems
Input Methods
The actor supports multiple ways to provide weather URLs.
1️⃣ Single URL
Users can manually add one or more TimeAndDate extended forecast URLs in the Start URLs field.
Example:
https://www.timeanddate.com/weather/usa/austin/ext
This method is suitable for scraping a small number of locations.
2️⃣ Text File Upload (Bulk URLs)
For scraping multiple cities at once, users can upload a text file containing weather URLs.
- Each URL must be on a new line
- Only TimeAndDate
/extweather URLs are supported
Example text file (urls.txt):
https://www.timeanddate.com/weather/germany/frankfurt/exthttps://www.timeanddate.com/weather/uk/london/exthttps://www.timeanddate.com/weather/india/new-delhi/exthttps://www.timeanddate.com/weather/usa/new-york/ext
This method is ideal for:
- Bulk data collection
- Weather analysis across multiple cities
- Automation workflows
Example Output
Tabular Form:
| City | Country | Day | Feels Like | Humidity | Latitude | Longitude | Precipitation Amount | Precipitation Chance | Temperature | UV Index | Weather | Wind |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| berlin | germany | Sat Jan 3 | 26 °F | 93% | 52.52437 | 13.41053 | 4.26" | 72% | 34 / 25 °F | 0 (Low) | Moderate snow. Overcast. | 8 mph |
| berlin | germany | Sun Jan 4 | 25 °F | 90% | 52.52437 | 13.41053 | 0.83" | 51% | 34 / 23 °F | 0 (Low) | Light snow. Mostly cloudy. | 9 mph |
Json Form:
{"city": "berlin","country": "germany","latitude": 52.52437,"longitude": 13.41053,"day": "Sat Jan 3","temperature": "34 / 25 °F","weather": "Moderate snow. Overcast.","feels_like": "26 °F","wind": "8 mph","humidity": "93%","precipitation_chance": "72%","precipitation_amount": "4.26\"","uv_index": "0 (Low)"}
Data Fields Explained
| Field | Description |
|---|---|
city | City name |
country | Country name |
latitude | Latitude of City |
longitude | Longitude of City |
day | Forecast day |
temperature | Max / Min temperature |
weather | Weather condition summary |
feels_like | Feels-like temperature |
wind | Wind speed |
humidity | Humidity percentage |
precipitation_chance | Probability of precipitation |
precipitation_amount | Precipitation volume |
uv_index | UV index & risk level |
Notes & Limitations
The actor fetches weather information only for the upcoming 14 days from the date of scraping.