I collect data from websites with Python and prepare Excel files

I use Python to automatically collect product, price and stock information scattered across websites and deliver it as a tidy Excel or CSV file. I cut work that takes days of manual copy-pasting down to minutes.

What can I collect?
- Product name, price, stock, rating and link lists from e-commerce sites
- Competitor price tracking: recording the prices of specific products regularly
- Tabular data from catalog, classified-ad and listing pages
- Merging multiple pages or categories into a single file

What is included?
- A cleaned and organized Excel/CSV file
- An optional summary sheet (categories, price ranges, counts)
- If requested, a Python script you can rerun and a usage note
- Scheduled runs: an automatically updated list every day/week

How do we work?
1. Before ordering, message me the site and the fields you want; I check feasibility and tell you the right package.
2. First I extract a small sample of data and present it for your approval.
3. I collect all the data, check for missing and faulty fields, and deliver.

Rules: I only collect publicly available data. Pages that require login, personal data (phone, email, personal information) and anything against a site's terms of use are out of scope. I work slowly and in a controlled way so as not to overload the site.