A Python package for downloading and extracting the data from heisse-preise.io with no dependencies.
Project description
Heisse Preise Data
Project Overview
This project provides compressed datasets derived from heisse-preise.io, offering an easy and efficient way to access up-to-date pricing data from supermarkets in Austria.
Data Sources
The data originates from:
Build Process
- The dataset is built daily to ensure the latest pricing data is available.
- The most recent build can be downloaded from the following link:
https://github.com/falknerdominik/heisse-preise-data/releases/latest/download/latest-canonical.tar.gz
Usage Examples
Download and Extract Data
Python Package
- No dependencies
- Minimal python version should be 3.6
from heisse_preise_data import download
try:
raw = download()
print(json.dumps(raw, indent=2))
except RuntimeError as e:
print(f"An error occurred: {e}")
try:
data = pd.DataFrame(download())
data.head(5)
except RuntimeError as e:
print(f"An error occurred: {e}")
Python Example
import requests
import tarfile
import io
import json
url = 'https://github.com/falknerdominik/heisse-preise-data/releases/latest/download/latest-canonical.tar.gz'
json_filename = 'latest-canonical.json'
try:
# Download the tar.gz file into memory
response = requests.get(url)
response.raise_for_status()
# Open the tar.gz file directly from memory
with tarfile.open(fileobj=io.BytesIO(response.content), mode='r:gz') as tar:
# Extract and read the JSON file directly from the tar archive
json_file = tar.extractfile(json_filename)
if json_file:
json_data = json.load(json_file)
print(json.dumps(json_data, indent=2))
else:
print(f"{json_filename} not found in the archive.")
except requests.RequestException as e:
print(f"Error downloading data: {e}")
except (tarfile.TarError, json.JSONDecodeError) as e:
print(f"Error processing files: {e}")
JavaScript Example (Node.js)
const https = require('https');
const fs = require('fs');
const tar = require('tar');
const url = 'https://github.com/falknerdominik/heisse-preise-data/releases/latest/download/latest-canonical.tar.gz';
https.get(url, (response) => {
const file = fs.createWriteStream('latest-canonical.tar.gz');
response.pipe(file);
file.on('finish', () => {
file.close();
tar.x({ file: 'latest-canonical.tar.gz' }).then(() => {
fs.readFile('latest-canonical.json', (err, data) => {
if (err) throw err;
const jsonData = JSON.parse(data);
console.log(JSON.stringify(jsonData, null, 2));
});
});
});
}).on('error', (err) => {
console.error(Error downloading data: ${err.message});
});
Contributing
If you wish to contribute or improve the project, feel free to open an issue or submit a pull request.
License
This project is licensed under the terms provided by the original data sources.
Project details
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File details
Details for the file heisse_preise_data-1.0.0.tar.gz.
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- Upload date:
- Size: 4.4 kB
- Tags: Source
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File details
Details for the file heisse_preise_data-1.0.0-py3-none-any.whl.
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- Download URL: heisse_preise_data-1.0.0-py3-none-any.whl
- Upload date:
- Size: 5.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
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