API-Based Automated Web Data Scraper

Automated Data Extraction from Website (API Integration Available)

Project Description:
We are looking for a developer to create a tool that can automatically extract specific data fields from a website and save the results into a structured text file (.txt / Notepad format).

At the moment, this process is done manually — by opening the website, using Inspect / View Source in the browser, and searching for the required information.
The goal is to fully automate this task.

The target website already provides a public API, which can be used if it simplifies or speeds up the extraction process.

Requirements:
- Ability to select or specify which data fields to extract
- Automatically retrieve data from the website (via HTML scraping or API)
- Export the collected information into a clean and structured .txt file
- The tool should be simple and intuitive to use — ideally a Windows desktop application, but Python-based or web-based solutions are also acceptable
- Log file (e.g., run_log.txt) with timestamp and results summary

The process should be fast, reliable, and repeatable

Example Use Case:
Currently, we manually search the website’s source code for specific text values or elements.
The new tool should automate this same process — extract the chosen information automatically and save it to a text file in a clear, formatted way.

Optional (but nice to have):
Single/Multiple output file
CSV or Excel output option
Batch processing for multiple URLs or IDs