Web Scraper for Corporate Data

Job ID: 37731337

Budget: $30 – $250 AUD

I am seeking a fluent Python developer to create a custom web scraper tailored to extract specified data from a range of company websites. This would be an ideal project for someone who has a strong background in web scraping, data extraction, and automation processes.

Key Requirements:

- Efficiently scrape contact information, product details, address specifics, and fundamental company descriptions.
- Ensure the accuracy and cleanliness of the scraped data.
- Implement a solution that can bypass basic anti-scraping mechanisms.

Skills and Experience:

- Proficiency in Python and web scraping libraries (e.g., BeautifulSoup, Scrapy, or similar).
- Familiarity with parsing HTML/CSS and working with APIs if needed.
- Experience in data manipulation and extraction.
- Capable of delivering scraped data in an Excel spreadsheet format.

Final Deliverables:

- A working Python scraper that can be run as needed.
- An Excel spreadsheet containing the extracted data.

The final product must adhere to legal and ethical standards regarding data scraping. Freelancers with a proven track record in similar projects and positive feedback will be considered first.