Ecommerce analysts
Price and promotion checks
Favorable to scraping
Monitor a focused list of LaFeltrinelli products and compare price, discount, availability, and seller values over time without rebuilding the spreadsheet every week.
E-commerce Marketplace$50Free
LaFeltrinelli Product Scraper
The LaFeltrinelli Product Scraper turns a list of LaFeltrinelli book, ebook, film, and promotional product URLs into a structured CSV export. It captures the fields buyers and catalog teams usually need first: title, page URL, price, discount, author or director, publisher or production, year, category, department, rating, review count, availability, seller, and image URL.
Export
CSV
Columns
15
Input
URL list
Target
Product pages
Template
Free import
At a glance
LaFeltrinelli product data without manual copy paste
Export LaFeltrinelli products to CSV
Build a product sheet from detail pages instead of copying price, author, availability, and review details by hand. The CSV is ready for Excel, Sheets, BI tools, or catalog QA.
Loop through known product URLs
Add more URLs to the Navigate block and the workflow continues through them one by one, appending every product page into the same file with headers.
Keep the run on your machine
The browser session and CSV write happen through UScraper on your computer. That matters when ecommerce research data should stay under your own custody.
Adapt for books, ebooks, films, and offers
The included fields cover common LaFeltrinelli layouts across product departments, including creator, publisher, production, year, category, availability, seller, and media image.
Who it helps
Built for retail research and catalog monitoring
Publishing and media teams
Catalog QA
Favorable to scraping
Collect book, ebook, and film metadata such as author, director, publisher, production, year, rating, and review count for internal comparison or enrichment checks.
Market researchers
Competitor snapshots
Favorable to scraping
Use a controlled URL list to scrape LaFeltrinelli product details for a specific keyword, author, category, promotion page, or seasonal campaign.
How to use
Run the LaFeltrinelli data extractor
1
Download and import the JSON
Use the download button for this page, then import the hosted LaFeltrinelli template into UScraper.
2
Add your product detail URLs
Open the Navigate block and replace or extend the sample URLs with the LaFeltrinelli products you want to collect.
3
Check the CSV save folder
The template writes crawler-prodotti-lafeltrinelli.csv. Change the save location if your project needs a shared research folder.
4
Run a small validation batch
Start with a few URLs from books, ebooks, films, or offers so you can confirm the fields are populated as expected.
5
Scale the URL list and export
Once the sample looks clean, add the rest of your product URLs and let the loop append each row into the same CSV.
Output preview
What the LaFeltrinelli CSV includes
crawler-prodotti-lafeltrinelli.csvColumn
parola_chiave
Keyword or research theme used for the URL batch.
Column
titolo_prodotto
Product title from the detail page heading.
Column
pagina_url
Canonical browser URL captured during the run.
Column
prezzo
Displayed product price.
Column
sconto
Visible percentage discount when present.
Column
autore
Author, director, or creator field depending on the product type.
Column
editore
Publisher or production company.
Column
anno_pubblicazione
Year shown in the product details.
Column
categoria
Top-level breadcrumb category.
Column
reparto
Department or secondary breadcrumb.
Column
rating
Average rating when available.
Column
numero_recensioni
Review count when available.
Column
disponibilita
Availability message from the page.
Column
venditore
Seller value if exposed.
Column
img_url
Main product image URL.
Sample rows
2 of many
| parola_chiave | titolo_prodotto | pagina_url | prezzo | sconto | autore | editore | anno_pubblicazione | categoria | reparto | rating | numero_recensioni | disponibilita | venditore | img_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| chow yun fat | La tigre e il dragone | 9,99 € | -15% | Ang Lee | Universal Pictures | 2000 | Film | DVD e Blu-ray | 4.6 | 18 | Disponibilità immediata | LaFeltrinelli | ||
| chow yun fat | Dragonball Evolution | 7,90 € | James Wong | 20th Century Fox | 2009 | Film | DVD e Blu-ray | 3.8 | 6 | Disp. in 5 giorni lavorativi | LaFeltrinelli |
Headers included - each product detail URL appends one row
Comparison
Local desktop app workflow vs hosted ecommerce scrapers
This UScraper template
Local CSVHosted marketplace actors
CloudSetup
Import JSON and add URLs
Best for controlled product lists and repeatable monitoring.
Configure actor input
Often better for broad hosted crawling jobs.
Data custody
CSV saved on your computer
No template step sends the export to UScraper servers.
Results pass through a vendor account
Convenient, but query lists and outputs leave your environment.
Cost shape
Free template import
Use with your UScraper desktop app license.
Usage-based runs
Usually billed by compute time, rows, or credits.
If you are building a broader ecommerce dataset, pair this page with the Leroy Merlin Product Scraper, eBay Product Details Scraper, and Rakuten Product Scraper. You can also browse the full UScraper template library or install the app from UScraper download.
Frequently asked questions
Scraping public product pages may still be limited by LaFeltrinelli terms of use, robots directives, copyright, database rights, privacy rules, and local law. Use modest volumes, avoid restricted content, do not bypass access controls, and get legal review before using scraped data commercially.
Limits
Practical limits and maintenance
What to watch during production runs
Rate limits
Keep pacing conservative
Avoid aggressive parallel sessions. If pages slow down, fail to load, or ask for human verification, pause the run and reduce volume.
Selector drift
Product layouts can change
The export reads LaFeltrinelli detail labels and page containers. Redesigns can move price, rating, seller, or availability fields, so validate after major site changes.
Compliance
Respect robots, terms, and data rights
Review LaFeltrinelli terms, privacy notices, and robots guidance before commercial use. Local execution improves custody, but it does not override website policies or legal obligations.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
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