| Name | sagikoza JSON |
| Version |
2.3.1
JSON |
| download |
| home_page | https://github.com/new-village/sagikoza |
| Summary | A Python library for crawling and retrieving all notices published under Japan’s Furikome Sagi Relief Act, with support for both full data extraction and incremental updates. |
| upload_time | 2025-08-03 03:06:22 |
| maintainer | None |
| docs_url | None |
| author | new-village |
| requires_python | >=3.8 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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# sagikoza
This is a Python library that automatically collects and obtains all public notices based on Japan's “Furikome Sagi Relief Act”
You can obtain account information contained in public notices for the past three months or one year, in a registered format or standardized format.
[日本語の説明はこちらを参照ください](https://note.com/newvillage/n/n6553ca45bd85)
## Features
- Fetching by year or for the latest 3 months
- Parsing of collected data
- Handling data by list of dictionary
- Retry support when fetching fails
- Ensure consistent ID assignment. This can support incremental updates.
- Standardization of account names fileds and date fields (optional)
## Supported Environments
- Python 3.8 or later
## Installation
Install from PyPI:
```shell
python -m pip install sagikoza
```
Latest from GitHub:
```shell
git clone https://github.com/new-village/sagikoza
cd sagikoza
python setup.py install
```
## Usage
### Fetch notices for a specific year.
Fetching notices for the year specified in the parameter. This parameter may be available after 2008.
```python
import sagikoza
accounts = sagikoza.fetch('2025')
print(accounts[:5])
# [{'uid': 'd06beb...', 'bank_name': 'みずほ銀行', 'name': 'グエン テイ ホアイ ニエン', 'name_alias': 'NGUYEN THI HOAI NHIEN' ...}, ...]
```
### Fetch notices for the last 3 months
Fetching without arguments to get notices from the latest 3 months.
```python
import sagikoza
accounts = sagikoza.fetch()
print(accounts)
# [{'uid': 'd06beb...', 'bank_name': 'みずほ銀行', 'name': 'グエン テイ ホアイ ニエン', 'name_alias': 'NGUYEN THI HOAI NHIEN' ...}, ...]
```
### Fetch raw data
If you want to fetch raw data before normalization, set the `normalize` parameter to `False` to skip the normalization process.
```python
import sagikoza
accounts = sagikoza.fetch('near3', normalize=False)
print(accounts)
# [{'uid': 'd06beb...', 'bank_name': 'みずほ銀行', 'name': 'ＮＧＵＹＥＮ ＴＨＩ ＨＯＡＩ ＮＨＩＥＮ （グエン テイ ホアイ ニエン）', ...}, ...]
```
### Save data example
I recommend you to use pandas's `to_parquet`, if you would like to save the data in local.
```python
import pandas as pd
import sagikoza
accounts = sagikoza.fetch()
df = pd.DataFrame(accounts)
df.to_parquet('accounts.parquet', index=False)
```
## Function Specification
- `fetch(year: str = "near3") -> list[dict]`
- Specify a year (YYYY) or "near3" for the latest 3 months
- Raises an exception on failure
## Internal Workflow
1. Fetch notice list (POST: sel_pubs.php)
2. Fetch submits by Financial Institutions (POST: pubs_dispatcher.php)
3. Fetch subjects (GET: pubs_basic_frame.php)
4. Fetch accounts of financial crime (POST: k_pubstype_01_detail.php, etc.)
Parameters required for each step are extracted from the HTML and used for subsequent page transitions.
## Logging
Uses Python's standard `logging` module. For detailed logs:
```python
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(name)s %(message)s')
import sagikoza
sagikoza.fetch()
```
By default, only WARNING and above are shown. For more detail, set `level=logging.DEBUG`.
## Notes
- This library retrieves data from public sources. Changes to the source website may affect functionality
- Accuracy and completeness of retrieved data are not guaranteed. Please use together with official information
## License
Apache License 2.0
- BeautifulSoup (MIT License)
## Contribution
Bug reports, feature requests, and pull requests are welcome. Please use GitHub Issues or Pull Requests.
## Reference
- [Furikome Sagi Relief Act Notices](https://furikomesagi.dic.go.jp/index.php)
Raw data
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"home_page": "https://github.com/new-village/sagikoza",
"name": "sagikoza",
"maintainer": null,
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"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": null,
"author": "new-village",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/79/15/7dfc97c1121b0619e49d82c2d5eb1cc55c0b9119ccf65584bc785ae18390/sagikoza-2.3.1.tar.gz",
"platform": null,
"description": "# sagikoza\n\n\nThis is a Python library that automatically collects and obtains all public notices based on Japan's \u201cFurikome Sagi Relief Act\u201d\nYou can obtain account information contained in public notices for the past three months or one year, in a registered format or standardized format.\n\n[\u65e5\u672c\u8a9e\u306e\u8aac\u660e\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u304f\u3060\u3055\u3044](https://note.com/newvillage/n/n6553ca45bd85)\n\n## Features\n- Fetching by year or for the latest 3 months\n- Parsing of collected data\n- Handling data by list of dictionary\n- Retry support when fetching fails\n- Ensure consistent ID assignment. This can support incremental updates.\n- Standardization of account names fileds and date fields (optional)\n\n## Supported Environments\n- Python 3.8 or later\n\n## Installation\nInstall from PyPI:\n```shell\npython -m pip install sagikoza\n```\n\nLatest from GitHub:\n```shell\ngit clone https://github.com/new-village/sagikoza\ncd sagikoza\npython setup.py install\n```\n\n## Usage\n### Fetch notices for a specific year.\nFetching notices for the year specified in the parameter. This parameter may be available after 2008.\n```python\nimport sagikoza\naccounts = sagikoza.fetch('2025')\nprint(accounts[:5])\n# [{'uid': 'd06beb...', 'bank_name': '\u307f\u305a\u307b\u9280\u884c', 'name': '\u30b0\u30a8\u30f3 \u30c6\u30a4 \u30db\u30a2\u30a4 \u30cb\u30a8\u30f3', 'name_alias': 'NGUYEN THI HOAI NHIEN' ...}, ...] \n```\n\n### Fetch notices for the last 3 months\nFetching without arguments to get notices from the latest 3 months.\n```python\nimport sagikoza\naccounts = sagikoza.fetch()\nprint(accounts)\n# [{'uid': 'd06beb...', 'bank_name': '\u307f\u305a\u307b\u9280\u884c', 'name': '\u30b0\u30a8\u30f3 \u30c6\u30a4 \u30db\u30a2\u30a4 \u30cb\u30a8\u30f3', 'name_alias': 'NGUYEN THI HOAI NHIEN' ...}, ...] \n```\n\n### Fetch raw data\nIf you want to fetch raw data before normalization, set the `normalize` parameter to `False` to skip the normalization process.\n```python\nimport sagikoza\naccounts = sagikoza.fetch('near3', normalize=False)\nprint(accounts)\n# [{'uid': 'd06beb...', 'bank_name': '\u307f\u305a\u307b\u9280\u884c', 'name': '\uff2e\uff27\uff35\uff39\uff25\uff2e\u3000\uff34\uff28\uff29\u3000\uff28\uff2f\uff21\uff29\u3000\uff2e\uff28\uff29\uff25\uff2e\u3000\uff08\u30b0\u30a8\u30f3\u3000\u30c6\u30a4\u3000\u30db\u30a2\u30a4\u3000\u30cb\u30a8\u30f3\uff09', ...}, ...] \n```\n\n### Save data example\nI recommend you to use pandas's `to_parquet`, if you would like to save the data in local.\n```python\nimport pandas as pd\nimport sagikoza\naccounts = sagikoza.fetch()\ndf = pd.DataFrame(accounts)\ndf.to_parquet('accounts.parquet', index=False)\n```\n\n## Function Specification\n- `fetch(year: str = \"near3\") -> list[dict]`\n - Specify a year (YYYY) or \"near3\" for the latest 3 months\n - Raises an exception on failure\n\n## Internal Workflow\n1. Fetch notice list (POST: sel_pubs.php)\n2. Fetch submits by Financial Institutions (POST: pubs_dispatcher.php)\n3. Fetch subjects (GET: pubs_basic_frame.php)\n4. Fetch accounts of financial crime (POST: k_pubstype_01_detail.php, etc.)\n\nParameters required for each step are extracted from the HTML and used for subsequent page transitions.\n\n## Logging\nUses Python's standard `logging` module. For detailed logs:\n```python\nimport logging\nlogging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(name)s %(message)s')\nimport sagikoza\nsagikoza.fetch()\n```\nBy default, only WARNING and above are shown. For more detail, set `level=logging.DEBUG`.\n\n## Notes\n- This library retrieves data from public sources. Changes to the source website may affect functionality\n- Accuracy and completeness of retrieved data are not guaranteed. Please use together with official information\n\n## License\nApache License 2.0\n- BeautifulSoup (MIT License)\n\n## Contribution\nBug reports, feature requests, and pull requests are welcome. Please use GitHub Issues or Pull Requests.\n\n## Reference\n- [Furikome Sagi Relief Act Notices](https://furikomesagi.dic.go.jp/index.php)\n",
"bugtrack_url": null,
"license": "Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n \n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n \n 1. Definitions.\n \n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n \n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n \n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. For the purposes of this definition,\n \"control\" means (i) the power, direct or indirect, to cause the\n direction or management of such entity, whether by contract or\n otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n \n \"You\" (or \"Your\") shall mean an individual or Legal Entity\n exercising permissions granted by this License.\n \n \"Source\" form shall mean the preferred form for making modifications,\n including but not limited to software source code, documentation\n source, and configuration files.\n \n \"Object\" form shall mean any form resulting from mechanical\n transformation or translation of a Source form, including but\n not limited to compiled object code, generated documentation,\n and conversions to other media types.\n \n \"Work\" shall mean the work of authorship, whether in Source or\n Object form, made available under the License, as indicated by a\n copyright notice that is included in or attached to the work\n (an example is provided in the Appendix below).\n \n \"Derivative Works\" shall mean any work, whether in Source or Object\n form, that is based on (or derived from) the Work and for which the\n editorial revisions, annotations, elaborations, or other modifications\n represent, as a whole, an original work of authorship. For the purposes\n of this License, Derivative Works shall not include works that remain\n separable from, or merely link (or bind by name) to the interfaces of,\n the Work and Derivative Works thereof.\n \n \"Contribution\" shall mean any work of authorship, including\n the original version of the Work and any modifications or additions\n to that Work or Derivative Works thereof, that is intentionally\n submitted to Licensor for inclusion in the Work by the copyright owner\n or by an individual or Legal Entity authorized to submit on behalf of\n the copyright owner. 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