Price2Spy VS FuzzyWuzzy
Compare Price2Spy VS FuzzyWuzzy and see what are their differences
The PAQATO After-Sales Experience Platform is the growth driver that makes online stores successful for tomorrow.
featured
Price2Spy
Hull
SAP Crystal Reports
Drmetrix
Bot Analytics
Skuuudle
Prisync
9Lenses
FuzzyWuzzy
Amazon Comprehend
spaCy
Microsoft Bing Spell Check API
Google Cloud Natural Language API
OpenNLP
NLTK
Flookup
A highly-specialized online tool, Price2Spy is launched back in 2011 and is now used by more than 680 companies of all sizes, worldwide.
It helps eCommerce professionals to monitor, track and analyze their competitors' or retailers' product pricing and availability. Users are offered both pricing acquisition as well as multiple reporting mechanisms for analyzing data.
Price2Spy is based on 4 main mechanisms (price comparison, price change alerts, pricing analytics, and repricing), it provides essential aid – both in everyday pricing operations (an email alert each time it detects a price or availability change) and in strategic decision-making.
With advanced features like B2B price checks (prices protected by username/password), in-cart price capturing, and stealth IP monitoring, it represents a state-of-the-art solution when it comes to price monitoring.
Price2Spy is even capable of monitoring websites that are built to shield off monitoring applications. You can virtually see the pricing of your competition even if their websites don’t want to be monitored.
The Repricing module enables you to define your own pricing strategies identity which products can go up / down in price, and get these prices changed in your online store.
There is little to be done from your end to get the system up and running. Price2Spy offers tutorials, demos, and online support to help users along the way.
Price2Spy FuzzyWuzzyNo FuzzyWuzzy videos yet. You could help us improve this page by suggesting one.
Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
Hull - The engagement layer for the internet. Hull is a platform that offers identity management, user engagement, segmentation and targeted messaging for your app.
Amazon Comprehend - Discover insights and relationships in text
SAP Crystal Reports - SAP Crystal Reports offers easy-to-use BI and reporting tool to design and deliver meaningful business reports.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Drmetrix - DRMetrix is the first 24/7 commercial monitoring platform designed for the direct response television industry
Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.