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Average Ratings 0 Ratings
Description
Parsel is a Python library licensed under BSD that facilitates the extraction and removal of data from HTML and XML documents using XPath and CSS selectors, with the option to integrate regular expressions. To begin, you create a selector object for the HTML or XML content you wish to analyze. After that, you can utilize either CSS or XPath expressions to target specific elements. CSS serves as a styling language for HTML, defining selectors that link styles to designated HTML elements, while XPath is utilized for selecting nodes within XML documents and can also be applied to HTML. Although both CSS and XPath can be used, CSS tends to offer greater readability, whereas XPath provides capabilities that may not be achievable through CSS alone. Built on top of lxml, parsel selectors incorporate some EXSLT extensions and come with pre-registered namespaces available for use in XPath queries. Furthermore, parsel selectors allow for the chaining of selectors, enabling users to primarily select by class using CSS and seamlessly transition to XPath when the situation demands it, enhancing flexibility in data extraction tasks. This dual capability makes parsel a powerful tool for developers working with web data.
Description
Smart Scraper is a powerful browser extension designed to effortlessly extract tables and recurring lists from websites, converting them into data that is ready for spreadsheets. By automatically identifying tables and similar elements on web pages, it simplifies the process of gathering organized information, eliminating the need for users to write XPath, CSS selectors, or any coding. It efficiently collects data from multiple pages, whether through navigation buttons, load-more features, or infinite scrolling, while also ensuring that duplicate entries are filtered out. Users have the option to export their collected data in various formats, including CSV, JSON, or TSV. The free version offers unlimited rows and pages without requiring an account, while the Pro version, priced at $79.99 per year, includes additional features such as data cleaning, AI-assisted column naming, and the ability to export directly to Excel and Google Sheets. Smart Scraper is compatible with popular browsers like Chrome, Edge, Brave, and Opera, making it accessible to a wide range of users seeking to streamline their data collection processes. It is particularly useful for professionals who need to gather and analyze large datasets from the web quickly and efficiently.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$79.99/year
The Pro plan costs $79.99/year.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/parsel/
Vendor Details
Company Name
NRSpark
Website
nrspark.com/products/smartscraper/