Weather Scraper delivers structured, reliable weather data for any location worldwide. It collects forecasts, humidity levels, temperatures, and wind data, helping users analyze current and future conditions with ease. This weather scraper is ideal for developers, analysts, and data teams who need consistent and accurate weather insights.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Weather Scraper extracts detailed weather information from global locations and converts it into a clean, structured dataset. It solves the challenge of inconsistent or hard-to-parse weather pages by offering unified, export-ready weather data. Perfect for data analysts, researchers, developers, and automation workflows.
- Scrapes current and future weather forecasts for any valid location.
- Accepts multiple input types, including URLs, location names, and location IDs.
- Produces unified day/night and current condition records.
- Supports custom output mapping and data extension logic.
- Stores results in structured datasets ready for further processing.
| Feature | Description |
|---|---|
| Flexible Input Options | Use URLs, city names, or location IDs to define target locations. |
| Structured Weather Data | Exports consistent temperature, humidity, wind, and forecast details. |
| Extendable Output | Use custom functions to add, modify, or remove fields. |
| Custom Mapping | Format or transform each output row with user-defined logic. |
| Efficient Resource Use | Optimized logic reduces compute usage and speeds up data collection. |
| Detailed Logging | Provides clear run-time messages about progress and issues. |
| Field Name | Field Description |
|---|---|
| city | City of the weather location. |
| state | State or regional area of the location. |
| country | Country of the location. |
| zipCode | Postal/ZIP code. |
| time | Timestamp for the weather reading. |
| temperature | Either a single value (current) or day/night pair. |
| forecast | Summary of weather conditions. |
| humidity | Humidity value or day/night pair. |
| windDirection | Wind direction description or pair. |
| windSpeed | Wind speed value. |
[
{
"city": "Třeboň",
"state": "South Bohemia",
"country": "Czech Republic",
"zipCode": "379 01",
"time": "2020-08-15T07:00:00+0200",
"temperature": "24/16",
"forecast": "Thunderstorms/Scattered Thunderstorms",
"humidity": "79/88",
"windDirection": "W/WNW",
"windSpeed": "9/6"
}
]
Weather Scraper/
├── src/
│ ├── main.js
│ ├── extractors/
│ │ ├── weather_parser.js
│ │ └── utils.js
│ ├── outputs/
│ │ └── formatter.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
├── requirements.txt
└── README.md
- Meteorologists use it to collect structured climate data, so they can analyze trends and generate forecasts.
- Data analysts use it to aggregate weather conditions across multiple regions, enabling predictive modeling and insights.
- Developers use it to automate weather data ingestion, improving workflow reliability and reducing manual tasks.
- Travel and logistics companies use it to monitor location-specific conditions, enhancing planning and safety decisions.
- Researchers use it to gather long-term atmospheric data, supporting environmental and climate studies.
Q: What types of locations can I retrieve weather from? A: Any valid location that exists on the source site — including cities, regions, and specific coordinates represented by location IDs.
Q: What is the difference between using start URLs and location names? A: Using direct URLs or location IDs is more efficient, as it skips the additional lookup step required for text-based location queries.
Q: Can I customize the output fields? A: Yes. The scraper supports both extension and mapping functions, allowing you to modify, add, or remove fields dynamically.
Q: How do I know if my input is invalid? A: The scraper halts immediately and displays clear error messages whenever an incorrect input format is detected.
Primary Metric: Average consumption as low as 0.0152 compute units per location when using direct URLs. Reliability Metric: High success rate when processing structured URLs or location IDs, with consistent parsing behavior. Efficiency Metric: Optimized request handling results in smooth performance even for batches of 50+ locations. Quality Metric: Produces complete and consistent weather records including temperature, wind, humidity, and forecast details.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
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“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
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