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README.md
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# tauron-elicznik-scraper
Simple python3 script that outputs JSON with energy meter data from Tauron eLicznik service
# Tauron eLicznik Scraper
1. Add login info and energy meter ID into script
2. Run with ```python3 elicznik.py```
3. Get JSON output with energy meter data from last day
This Python 3 package allows to read electric energy meter reading history from the
[Tauron eLicznik](https://elicznik.tauron-dystrybucja.pl/) website.
Energy meter ID can be obtained from https://elicznik.tauron-dystrybucja.pl/ website under "Punkt poboru:" field.
Script is currently tested only with G11 tariff.
## Command line usage
Optionally you can save JSON as file - just uncomment 2 last lines.
With the package installed readings can be retrieved by simply running the `elicznik` command:
```
usage: elicznik [-h] [--format {raw,table,csv}] username password [date]
You can change dane[chartDay] to get data from another day (not only the last one).
positional arguments:
username tauron-dystrybucja.pl user name
password tauron-dystrybucja.pl password
date Date of data to be retrieved
If JSON **should not** contain energy produced from solar panels, please comment the "dane[checkOZE]": "on".
optional arguments:
-h, --help show this help message and exit
--format {raw,table,csv}
Specify the output format
```
Enjoy :)
Example
```
$ elicznik freddy@example.com secretpassword 10.7.2021
timestamp consumed produced
------------------- ---------- ----------
2021-07-03 01:00:00 0.116 0
2021-07-03 02:00:00 0.105 0
2021-07-03 03:00:00 0.117 0
2021-07-03 04:00:00 0.108 0
2021-07-03 05:00:00 0.125 0
2021-07-03 06:00:00 0.11 0
2021-07-03 07:00:00 0.025 0.107
2021-07-03 08:00:00 0 1.058
2021-07-03 09:00:00 0.26 0.846
2021-07-03 10:00:00 0.034 1.326
2021-07-03 11:00:00 0 1.523
2021-07-03 12:00:00 0 1.166
2021-07-03 13:00:00 0 0.637
2021-07-03 14:00:00 0.677 0.482
2021-07-03 15:00:00 0.741 0.46
2021-07-03 16:00:00 0.031 0.284
2021-07-03 17:00:00 0 0.393
2021-07-03 18:00:00 0.051 0.058
2021-07-03 19:00:00 0.347 0.02
2021-07-03 20:00:00 0.378 0.021
2021-07-03 21:00:00 0.246 0
2021-07-03 22:00:00 0.213 0
2021-07-03 23:00:00 0.269 0
2021-07-04 00:00:00 0.138 0
```
![Example usage with Grafana](https://i.imgur.com/vueg6uj.png)
## API usage
```
import datetime
import elicznik
m = elicznik.ELicznik("freddy@example.com", "secretpassword")
m.login()
readings = m.get_readings(datetime.date(2021, 7, 10))
for timestamp, consumed, produced in readings:
print(timestamp, consumed, produced)
```
## TODO & bugs
* Add support for accounts with multiple meters
* Convert the dates to UTC and handle switches from and to DST properly
* Allow reading a date range instead of just one day
* Make the dependency on tabulate optional
## Similar projects
This project is based on the excellent
[tauron-elicznik-scrapper](https://github.com/MichalZaniewicz/tauron-elicznik-scraper) project by
[@Michał Zaniewicz](https://github.com/MichalZaniewicz), but there are several other available out there.
Among the other [similar eLicznik projects on GitHub](https://github.com/search?q=elicznik) there's one especially
worth checking out:
the [Tauron AMIplus sensor](https://github.com/PiotrMachowski/Home-Assistant-custom-components-Tauron-AMIplus) -- it's
an eLicznik Home Assistant integration.

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example_output.json
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{
"name": {
"chart": "Pob\u00f3r 04.03.2020",
"OZE": "Generacja 04.03.2020"
},
"dane": {
"chart": [{
"EC": "0.089",
"Date": "2020-03-04",
"Hour": "1",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.083",
"Date": "2020-03-04",
"Hour": "2",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.081",
"Date": "2020-03-04",
"Hour": "3",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.078",
"Date": "2020-03-04",
"Hour": "4",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.084",
"Date": "2020-03-04",
"Hour": "5",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.088",
"Date": "2020-03-04",
"Hour": "6",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.358",
"Date": "2020-03-04",
"Hour": "7",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.075",
"Date": "2020-03-04",
"Hour": "8",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.151",
"Date": "2020-03-04",
"Hour": "9",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.14",
"Date": "2020-03-04",
"Hour": "10",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.236",
"Date": "2020-03-04",
"Hour": "11",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.091",
"Date": "2020-03-04",
"Hour": "12",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.09",
"Date": "2020-03-04",
"Hour": "13",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.091",
"Date": "2020-03-04",
"Hour": "14",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.634",
"Date": "2020-03-04",
"Hour": "15",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.216",
"Date": "2020-03-04",
"Hour": "16",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.132",
"Date": "2020-03-04",
"Hour": "17",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "1.32",
"Date": "2020-03-04",
"Hour": "18",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "1.221",
"Date": "2020-03-04",
"Hour": "19",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.447",
"Date": "2020-03-04",
"Hour": "20",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.388",
"Date": "2020-03-04",
"Hour": "21",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.154",
"Date": "2020-03-04",
"Hour": "22",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.119",
"Date": "2020-03-04",
"Hour": "23",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}, {
"EC": "0.101",
"Date": "2020-03-04",
"Hour": "24",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
}],
"zone": [],
"zoneN": 0,
"other": [],
"OZE": {
"1": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "1",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"2": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "2",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"3": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "3",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"4": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "4",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"5": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "5",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"6": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "6",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"7": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "7",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
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"12": {
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"Hour": "12",
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"Zone": "1",
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"14": {
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"Hour": "14",
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"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"15": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "15",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"16": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "16",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"17": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "17",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"18": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "18",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"19": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "19",
"Status": "0",
"Extra": "0",
"Zone": "1",
"Taryfa": "G11"
},
"20": {
"EC": "0",
"Date": "2020-03-04",
"Hour": "20",
"Status": "0",
"Extra": "0",
"Zone": "1",
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},
"21": {
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"22": {
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}
},
"myAverage": [],
"weather": [],
"cloudiness": []
},
"sum": 6.467,
"sumOther": 0,
"sumMyAverage": 0,
"OZEValue": 0,
"sLastReadOZE": "Stan licznika: <br \/><span>Strefa T1<dd class=\"scale\">000001<\/dd><\/span>",
"sumTarget": 0,
"pie": [],
"TargetValue": 0,
"TargetRange": 0,
"legend": "",
"countTarif": 1,
"sCompareTable": "",
"isFull": true,
"isFullOther": true,
"ok": 1
}

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output.json
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{
"name": {
"chart": "Pob\u00f3r 10.07.2021",
"OZE": "Oddanie 10.07.2021"
},
"dane": {
"chart": {
"1": {
"EC": "0.105",
"Date": "2021-07-10",
"Hour": "1",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"2": {
"EC": "0.105",
"Date": "2021-07-10",
"Hour": "2",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"3": {
"EC": "0.096",
"Date": "2021-07-10",
"Hour": "3",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"4": {
"EC": "0.108",
"Date": "2021-07-10",
"Hour": "4",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"5": {
"EC": "0.119",
"Date": "2021-07-10",
"Hour": "5",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"6": {
"EC": "0.09",
"Date": "2021-07-10",
"Hour": "6",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"7": {
"EC": "0.026",
"Date": "2021-07-10",
"Hour": "7",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"8": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "8",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
"9": {
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"Status": "0",
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"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
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"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
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"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
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"EC": "0",
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"Extra": "N",
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"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
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"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
},
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},
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},
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"Taryfa": "G11"
},
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"Taryfa": "G11"
},
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"Taryfa": "G11"
},
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"Taryfa": "G11"
},
"24": {
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"Hour": "24",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba",
"Taryfa": "G11"
}
},
"zone": [],
"zoneN": 0,
"other": [],
"OZE": {
"1": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "1",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"2": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "2",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"3": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "3",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"4": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "4",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"5": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "5",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"6": {
"EC": "0",
"Date": "2021-07-10",
"Hour": "6",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"7": {
"EC": "0.066",
"Date": "2021-07-10",
"Hour": "7",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"8": {
"EC": "0.599",
"Date": "2021-07-10",
"Hour": "8",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"9": {
"EC": "1.513",
"Date": "2021-07-10",
"Hour": "9",
"Status": "0",
"Extra": "N",
"Zone": "1",
"ZoneName": "Ca\u0142a doba"
},
"10": {
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},
"11": {
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"Hour": "11",
"Status": "0",
"Extra": "N",
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},
"12": {
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"Hour": "12",
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},
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},
"myAverage": [],
"weather": [],
"cloudiness": []
},
"sum": 2.2929999999999997,
"sumOther": 0,
"sumMyAverage": 0,
"avgMyAverageValue": 0,
"OZEValue": 21.035999999999998,
"sLastReadOZE": "Stan licznika na dzie\u0144: 2021-07-10<br /><div style=\"width:112px\">Strefa T1<dd class=\"scale\">000499</dd></div>",
"sumTarget": 0,
"pie": [],
"TargetValue": 0,
"TargetRange": 0,
"legend": "",
"countTarif": 1,
"sCompareTable": "",
"isFull": true,
"isFullOther": true,
"average": 0.096,
"predict": 0,
"averageOther": 0,
"averageOZE": 0.877,
"predictOZE": 0,
"ok": 1
}

2
setup.cfg Normal file
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@@ -0,0 +1,2 @@
[metadata]
license_files = LICENSE

36
setup.py Normal file
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@@ -0,0 +1,36 @@
from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='elicznik',
version='1.0',
description='Tauron eLicznik scrapper',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/mlesniew/elicznik',
author='Michał Leśniewski',
author_email='mlesniew@gmail.com',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: End Users/Desktop',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3 :: Only',
],
keywords='elicznik, tauron, scrapper',
package_dir={'': 'src'},
packages=find_packages(where='src'),
python_requires='>=3.6, <4',
install_requires=['requests', 'tabulate'],
entry_points={
'console_scripts': [
'elicznik=elicznik.__main__:main',
],
},
)

0
elicznik/__init__.py → src/elicznik/__init__.py
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3
elicznik/__main__.py → src/elicznik/__main__.py
View File

@@ -1,6 +1,7 @@
import argparse
import csv
import datetime
import json
import sys
import tabulate
@@ -32,7 +33,7 @@ def main():
elicznik.login()
if args.format == "raw":
print(elicznik.get_raw_readings(args.date))
print(json.dumps(elicznik.get_raw_readings(args.date), indent=4))
return
result = elicznik.get_readings(args.date)

0
elicznik/elicznik.py → src/elicznik/elicznik.py
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0
elicznik/session.py → src/elicznik/session.py
View File