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Garlando product data Scraper will extract data from Garlando website, including product description, height, prices, etc. Download the data in the required format.
Garlando product data scraper is developed to extract necessary product information such as various Garlando product categories, height, or model number.
product_description
product_title
prices
image_url
manufacturer_details
model_number
reviews
ratings
quantity
height
weight
url
The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.
Provide search queries or target URLs for scraping product data from Garlando. The crawler will extract details like pricing, image url, manufacturer details, model number, reviews, ratings, etc.
Export the scraped data in your preferred format (CSV, Excel, JSON, HTML, etc.)
Automate the crawler to run hourly (real-time tracking), daily/weekly (routine updates), or at custom intervals.
Garlando product data scraper allows you to search for the product data that you can categorize depending on the factors such as model number, price, color, style, brands, ratings, and other features. Garlando scraper can be used to scrape Garlando product data using Python based on the requirements you mention from filtering on the Garlando category page. It is possible to sort the filter as per the requirements and You may copy the relevant URL and put it in the Initial URL tab in the Edit PDE view after selecting the criteria for the data you require.
The output for the scraped file can be downloaded in various formats such as CSV, XML, JSON, XLSX format. The below screenshot will show Garlando product data fields that we will be scraping:
This data is made up of up to 6 lines, each of which contains a single (unique) page’s characteristic, description, dimensions, picture, name, URL, timestamp, and other information from garlando.it.