We need a Python developer for a short but critical project: extracting data from a series of unstructured documents and saving it into a structured format (CSV). You will write Python scripts using libraries like Beautiful Soup or similar to parse the documents, identify the required data points, and clean them up for export. This project is perfect for a developer who enjoys scripting and working with data, and wants a focused, short-term challenge.

This project is all about data wrangling. We have a large set of semi-structured documents (HTML files) and we need to extract specific pieces of information from each one. Your task will be to write a Python script that can automate this process.

Project Workflow:

1. You will be given a sample of the documents and a clear definition of the data points that need to be extracted.
2. You will write a Python script that can loop through a directory of these documents.
3. For each document, your script will parse the content (e.g., using a library like Beautiful Soup for HTML).
4. You will use logic to locate and extract the required data fields.
5. The script will perform any necessary data cleaning (e.g., removing extra whitespace, formatting dates).
6. Finally, the script will append the extracted data as a new row in a CSV file.

What we're looking for:

We need a developer who is comfortable with Python and has some experience with web scraping or data parsing libraries. You should be able to think logically to handle variations in the document structure. This is a great opportunity to sharpen your data extraction skills on a real-world problem. The project has a very clear goal and a tangible output, making it a satisfying short-term engagement.

• Good working knowledge of Python.
• Experience with a parsing library like Beautiful Soup, lxml, or similar.
• Familiarity with reading and writing files in Python, especially CSVs.
• Strong problem-solving skills and attention to detail.

• A well-defined problem with a clear deliverable
• Opportunity to work with popular Python data parsing libraries
• Fully remote and flexible work schedule for the week
• Quick and rewarding project