File size: 2,102 Bytes
afa986b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | ---
license: cc-by-4.0
language:
- en
pretty_name: "Open-Meteo Scraper \u00b7 Weather Forecasts, History & Locations"
size_categories:
- n<1K
tags:
- "reapx"
- "web-scraping"
- "open-data"
- "open-meteo-scraper"
- "open-meteo"
- "weather"
- "forecasts"
- "history"
- "locations"
configs:
- config_name: default
data_files:
- split: train
path: open-meteo-scraper.jsonl
---
# Open-Meteo Scraper · Weather Forecasts, History & Locations
Scrape weather forecasts, historical climate archives, and geocoding location data from the Open-Meteo API. Fast HTTP scraper charging per returned location report.
| | |
| --- | --- |
| Rows in this dataset | 200 |
| Fields | 20 |
| Collector runs behind it | 40 |
| Most recent observation | 2026-08-03 |
## What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a
template over a keyword list: a row exists because a run observed it.
## Provenance
Each row carries `_run_id` and `_dataset_id`, naming the collector run that produced it, so any
row can be traced back to the run that observed it. Rows observed by more than one run are
deduplicated on content; 0 duplicate observations were collapsed.
## Files
- `open-meteo-scraper.jsonl` — one JSON object per row, the canonical form
- `open-meteo-scraper.csv` — the same rows flattened; nested values are JSON-encoded within their cell
so they round-trip
- `dataset.json` — schema.org `Dataset` metadata
## Loading it
```python
from datasets import load_dataset
ds = load_dataset("reapxdev/open-meteo-scraper", split="train")
```
## Related
- All sources: <https://reapx.dev/data/> · machine-readable index: <https://reapx.dev/llms.txt>
- The collector is a public Apify Actor; agents reach it through <https://mcp.apify.com>
## Licence
Collected from public sources. This metadata and the published pages are
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); the underlying records remain under
the terms of their originating source.
|