Software Alternatives, Accelerators & Startups

Screaming Frog VS FuzzyWuzzy

Compare Screaming Frog VS FuzzyWuzzy and see what are their differences

Screaming Frog logo Screaming Frog

Screaming Frog is search engine marketing agency offering search engine optimisation and pay-per-click advertising services.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • Screaming Frog Landing page
    Landing page //
    2022-12-25
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Screaming Frog videos

Screaming Frog Review | SEO Spider Tool & Crawler Software | Pearl Lemon Reviews

More videos:

  • Tutorial - How To Use Screaming Frog (2019 Complete Guide)
  • Review - Screaming Frog SEO Spider Review - SEO Tool for Digital Marketers

FuzzyWuzzy videos

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Category Popularity

0-100% (relative to Screaming Frog and FuzzyWuzzy)
SEO Tools
100 100%
0% 0
Spreadsheets
0 0%
100% 100
SEO
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Screaming Frog and FuzzyWuzzy

Screaming Frog Reviews

15 Best Moz Alternatives
The paid version of Screaming Frog is an annual license. After one year, you will have to renew it. The paid version of Screaming Frog costs you $259.

FuzzyWuzzy Reviews

We have no reviews of FuzzyWuzzy yet.
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Social recommendations and mentions

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.

Screaming Frog mentions (0)

We have not tracked any mentions of Screaming Frog yet. Tracking of Screaming Frog recommendations started around Mar 2021.

FuzzyWuzzy mentions (11)

  • Need help solving a subtitles problem. The logic seems complex
    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
  • Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
    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
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
  • I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
    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
  • How would you approach this
    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
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What are some alternatives?

When comparing Screaming Frog and FuzzyWuzzy, you can also consider the following products

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

Amazon Comprehend - Discover insights and relationships in text

Lumar - (Previously DeepCrawl) Hosted SEO spider to analyze and find problems with websites.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Website Checker Tech - WebsiteChecker.Tech is SaaS tool that detects SEO and availability issues of your website, making it easier for you to fix them.

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.