https://github.com/alextkdev/parsser_collect_data_on_tin
This parser accepts the organization's TIN as input and collects the following information from official public sites: General email of the organization (office or reception). Full names and positions of company employees.
https://github.com/alextkdev/parsser_collect_data_on_tin
beautifulsoup4 pandas parsing requests
Last synced: 27 days ago
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This parser accepts the organization's TIN as input and collects the following information from official public sites: General email of the organization (office or reception). Full names and positions of company employees.
- Host: GitHub
- URL: https://github.com/alextkdev/parsser_collect_data_on_tin
- Owner: AlexTkDev
- Created: 2024-05-31T15:01:27.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-27T21:29:28.000Z (6 months ago)
- Last Synced: 2025-01-27T22:29:00.026Z (6 months ago)
- Topics: beautifulsoup4, pandas, parsing, requests
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
### Documentation for the Parser
#### Description
This parser accepts the organization's TIN as input and collects the following information from official public sites:
- General email of the organization (office or reception).
- Full names and positions of company employees.
#### Requirements
The following Python libraries are required for the parser to work:
- `requests` for sending HTTP requests.
- `BeautifulSoup` from the `bs4` library for parsing HTML code.
- `pandas` for working with data and saving it to Excel.
Install them using pip:
```sh
pip install requests beautifulsoup4 pandas
```
#### Implementation Steps
1. **Getting Data About an Organization by TIN**
A public API is used to get data about an organization by TIN.
2. **Extracting Data from Websites**
- **Extracting Email**
An organization's email is usually located in the header, footer, or contacts section of a website.
- **Extracting Employee Names and Positions**
Employee information is usually located in the "Team", "Management" or "Contacts" section.
3. **Saving Data to Excel**
The `pandas` library is used to save data to an Excel file.
4. **Main Function**
Combine all the above steps in the main function.
#### Usage Example
Replace `1234567890` with the required organization's TIN and execute the script. The results will be saved in the `output.xlsx` file.
```python
inn = "1234567890"
main(inn)
```
#### Conclusion
This parser allows you to automatically receive and save in Excel the main contact details and information about employees of an organization by the specified TIN.