Web scraper Python for the following websites
Budget: $30 – $250 USD
Web Scraper Python for 3 Websites
I am looking for a Python developer who can create a web scraper. It should be able to scrap these Websites migros.ch, coop.ch, lidl.ch
The scraper should be able to extract the following datas in weekly basis.
Date, product Category, Product name, product weight kg, Liter, g, , product price,<image_path_adress_product_name.jpg>
These scraped datas should be able to be saved in a different new csv-file weekly.
For example coop_01.12.2023.csv
Ideal Skills and Experience:
- Proficient in Python programming language
- Experience with web scraping using libraries such as BeautifulSoup or Scrapy
- Familiarity with HTML and CSS
- Knowledge of data extraction and manipulation
- Ability to work with APIs and handle authentication if required
Key Requirements:
- Develop a Python script to scrape specific sections of 3 Websites.
- Extract relevant data such as text, images, and links
- Store the scraped data in a structured format (e.g., CSV, JSON, or database)
- Ensure the scraper runs automatically on a weekly basis
If you have previous experience with web scraping projects and are confident in your Python skills, we would love to hear from you. Please provide examples of your previous work and explain your approach to web scraping in your proposal.
I am looking for a Python developer who can create a web scraper. It should be able to scrap these Websites migros.ch, coop.ch, lidl.ch
The scraper should be able to extract the following datas in weekly basis.
Date, product Category, Product name, product weight kg, Liter, g, , product price,<image_path_adress_product_name.jpg>
These scraped datas should be able to be saved in a different new csv-file weekly.
For example coop_01.12.2023.csv
Ideal Skills and Experience:
- Proficient in Python programming language
- Experience with web scraping using libraries such as BeautifulSoup or Scrapy
- Familiarity with HTML and CSS
- Knowledge of data extraction and manipulation
- Ability to work with APIs and handle authentication if required
Key Requirements:
- Develop a Python script to scrape specific sections of 3 Websites.
- Extract relevant data such as text, images, and links
- Store the scraped data in a structured format (e.g., CSV, JSON, or database)
- Ensure the scraper runs automatically on a weekly basis
If you have previous experience with web scraping projects and are confident in your Python skills, we would love to hear from you. Please provide examples of your previous work and explain your approach to web scraping in your proposal.