web-scraping VS Letterboxd-friend-ranker

Compare web-scraping vs Letterboxd-friend-ranker and see what are their differences.

web-scraping

Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist (by je-suis-tm)

Letterboxd-friend-ranker

Program that computes, ranks a given user and their friends based on Letterboxd ratings (by BBottoml)
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web-scraping Letterboxd-friend-ranker
43 1
617 12
- -
0.0 10.0
about 2 years ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

web-scraping

Posts with mentions or reviews of web-scraping. We have used some of these posts to build our list of alternatives and similar projects.

Letterboxd-friend-ranker

Posts with mentions or reviews of Letterboxd-friend-ranker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-28.
  • Letterboxd Profile Analyzer, Friends Ranker, and Simple Movie Recommender App
    3 projects | /r/Letterboxd | 28 Mar 2023
    The loading bar actually comes with Streamlit and they have each of their component documentations on their page, you can access my source code for the app on my GitHub here (check on deployment.py, search for "st.spinner" and "st.progress"). For additional data of each movie, maybe you missed that part on my Profile Analysis article (the scraping movie details part). Yes, I modified scraping functions from this repo and I mentioned it on my Friends Ranker article.

What are some alternatives?

When comparing web-scraping and Letterboxd-friend-ranker you can also consider the following projects:

news-crawler - A news crawler for BBC News, Reuters and New York Times.

Letterboxd-Tweet-Poster - Post your logged films/created lists on Lettterboxd to a Twitter thread

araknomecha-scrapper - A data scrapper and importer helper to Corvo Astral discord bot.

letterboxd_recommendations - Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]

letterboxd-friends-ranker - Letterboxd Profile Analyzer, Friends Ranker and Movie Recommendations

tagalog-dictionary-scraper - Builds a Tagalog dictionary by collecting Tagalog words from tagalog.pinoydictionary.com

Letterboxd-list-scraper - A program that can scrape Letterboxd lists from an input URL. The output CSV contains information about the film title, release year, director, cast, personal rating, average rating and a lot more from an input URL.

ask-hn-urls - find URLs posted as a part of comments on Hacker news Ask: HN section.

JobFunnel - Scrape job websites into a single spreadsheet with no duplicates.

Abosar - অবসর 📚 A collection of short Bengali stories web scraped from various Bengali eMagazines and eNewspapers.

facebook_page_scraper - Scrapes facebook's pages front end with no limitations & provides a feature to turn data into structured JSON or CSV