Web Scraping – Extract All Products from website into Excel
Budget: $30 – $250 USD
We are looking for an experienced web scraping specialist to extract all product information from the following website: https://tecnostamp.it/en/2-home
The objective is to collect all available products from the English version of the website and organize the information into a clean, structured Excel file.
Required data fields:
- Product name
- Product category
- Product page URL
- Product reference
- Product description
- Technical specifications
- Product images URLs
- Any other relevant product information displayed on the website
Project requirements:
- All products and product categories must be included.
- Product information must be extracted from the individual product pages, not only from category listings.
- Duplicate products must be removed.
- The final file must be delivered in .xlsx format.
- The extracted data must be accurate and complete.
- The website structure, categories and pagination must be checked carefully to ensure that no products are missed.
Deliverables:
One Excel file containing all extracted products.
A short summary indicating:
- Total number of products extracted
- Categories covered
- Any missing or unavailable information
- Any pages that could not be accessed or scraped
Preferred freelancer:
- Previous experience with web scraping and product catalogue extraction
- Experience with websites containing technical product specifications
- Ability to structure complex technical data in Excel
- Good attention to detail
Please include in your proposal:
- Your relevant web scraping experience
- The tools or technology you intend to use
- An estimated completion time
- Confirmation that you can extract all products from the website
- An example of a similar Excel product catalogue you have created, if available
Before completing the full project, the selected freelancer may be asked to provide a small sample containing 3–5 products so that we can confirm the Excel structure and data quality.
This is a one-time project, but similar scraping projects may be available in the future.
The objective is to collect all available products from the English version of the website and organize the information into a clean, structured Excel file.
Required data fields:
- Product name
- Product category
- Product page URL
- Product reference
- Product description
- Technical specifications
- Product images URLs
- Any other relevant product information displayed on the website
Project requirements:
- All products and product categories must be included.
- Product information must be extracted from the individual product pages, not only from category listings.
- Duplicate products must be removed.
- The final file must be delivered in .xlsx format.
- The extracted data must be accurate and complete.
- The website structure, categories and pagination must be checked carefully to ensure that no products are missed.
Deliverables:
One Excel file containing all extracted products.
A short summary indicating:
- Total number of products extracted
- Categories covered
- Any missing or unavailable information
- Any pages that could not be accessed or scraped
Preferred freelancer:
- Previous experience with web scraping and product catalogue extraction
- Experience with websites containing technical product specifications
- Ability to structure complex technical data in Excel
- Good attention to detail
Please include in your proposal:
- Your relevant web scraping experience
- The tools or technology you intend to use
- An estimated completion time
- Confirmation that you can extract all products from the website
- An example of a similar Excel product catalogue you have created, if available
Before completing the full project, the selected freelancer may be asked to provide a small sample containing 3–5 products so that we can confirm the Excel structure and data quality.
This is a one-time project, but similar scraping projects may be available in the future.
Related categories:
PHP
Data Processing
Data Entry
Web Scraping
Data Mining
Web Development
Data Extraction
Web API