Average Ratings 0 Ratings
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
Soft credit inquiries do not affect customer credit scores, which alleviates some of the hesitations that customers might have during the financing estimate phase. To streamline this process, many of our clients prompt customers to complete a straightforward procedure prior to their visit to the dealership. SelectFI enhances and simplifies the method your team employs to access and negotiate deals for customers. This approach minimizes mistakes and accelerates the F&I process for every transaction. Your team will be pleasantly surprised by the outcomes once they utilize our Lender Selector software. The SelectFI Lender Selector is an innovative predictive lending tool that enables dealerships to quickly generate numerous financing estimates from various lenders utilizing just a soft credit pull. Consequently, this leads to increased closing rates, enhanced efficiency for your staff, and improved adherence to regulatory requirements. Given the daily fluctuations in the lending market, it can be challenging to predict which lenders will approve customers based on their credit profiles. Therefore, leveraging advanced tools like SelectFI can ultimately empower your team to navigate these complexities with greater confidence.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
No
Travis CI
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/parsel/
Vendor Details
Company Name
SelectFI
Country
United States
Website
selectfi.com
Product Features
Product Features
Auto Dealer
Accounting
No
Buy-Here-Pay-Here
No
Collections Management
No
Contact Database
No
Customer Database
No
Document Management
No
F&I Management
No
Financing Management
No
Form Printing
No
Inventory Management
No
Lease Management
No
New Car Dealer
No
New Car Lot
No
Online Inventory
No
Parts Management
No
Sales Management
No
Service Department
No
Used Car Lot
No
Website Integration
No