The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python

Mastodon social graph with an SQL backend, in-memory cache, and built-in, on-demand web scraper.

TechBuzz is a Flutter news app with a Node.js & MongoDB backend. It features a web admin dashboard, AI news scraper, and options to bookmark & share articles. 🚀 Built with BLoC architecture for state management. Tech Stack: Flutter, Node.js, MongoDB, Web Scraping.

# All the News That's Fit to Scrape ### Overview In this assignment, you'll create a web app that lets users view and leave comments on the latest news. But you're not going to actually write any articles; instead, you'll flex your Mongoose and Cheerio muscles to scrape news from another site. ### Before You Begin 1. Create a GitHub repo for this assignment and clone it to your computer. Any name will do -- just make sure it's related to this project in some fashion. 2. Run `npm init`. When that's finished, install and save these npm packages: 1. express 2. express-handlebars 3. mongoose 4. cheerio 5. axios 3. **NOTE**: If you want to earn complete credit for your work, you must use all five of these packages in your assignment. 4. In order to deploy your project to Heroku, you must set up an mLab provision. mLab is remote MongoDB database that Heroku supports natively. Follow these steps to get it running: 5. Create a Heroku app in your project directory. 6. Run this command in your Terminal/Bash window: * `heroku addons:create mongolab` * This command will add the free mLab provision to your project. 7. When you go to connect your mongo database to mongoose, do so the following way: ```js // If deployed, use the deployed database. Otherwise use the local mongoHeadlines database var MONGODB_URI = process.env.MONGODB_URI || "mongodb://localhost/mongoHeadlines"; mongoose.connect(MONGODB_URI); ``` * This code should connect mongoose to your remote mongolab database if deployed, but otherwise will connect to the local mongoHeadlines database on your computer. 8. [Watch this demo of a possible submission](https://youtu.be/4ltZr3VPmno). See the deployed demo application [here](http://nyt-mongo-scraper.herokuapp.com/). 9. Your site doesn't need to match the demo's style, but feel free to attempt something similar if you'd like. Otherwise, just be creative! ### Commits Having an active and healthy commit history on GitHub is important for your future job search. It is also extremely important for making sure your work is saved in your repository. If something breaks, committing often ensures you are able to go back to a working version of your code. * Committing often is a signal to employers that you are actively working on your code and learning. * We use the mantra “commit early and often.” This means that when you write code that works, add it and commit it! * Numerous commits allow you to see how your app is progressing and give you a point to revert to if anything goes wrong. * Be clear and descriptive in your commit messaging. * When writing a commit message, avoid vague messages like "fixed." Be descriptive so that you and anyone else looking at your repository knows what happened with each commit. * We would like you to have well over 200 commits by graduation, so commit early and often! ### Submission on BCS * **This assignment must be deployed.** * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! ## Instructions * Create an app that accomplishes the following: 1. Whenever a user visits your site, the app should scrape stories from a news outlet of your choice and display them for the user. Each scraped article should be saved to your application database. At a minimum, the app should scrape and display the following information for each article: * Headline - the title of the article * Summary - a short summary of the article * URL - the url to the original article * Feel free to add more content to your database (photos, bylines, and so on). 2. Users should also be able to leave comments on the articles displayed and revisit them later. The comments should be saved to the database as well and associated with their articles. Users should also be able to delete comments left on articles. All stored comments should be visible to every user. * Beyond these requirements, be creative and have fun with this! ### Tips * Go back to Saturday's activities if you need a refresher on how to partner one model with another. * Whenever you scrape a site for stories, make sure an article isn't already represented in your database before saving it; Do not save any duplicate entries. * Don't just clear out your database and populate it with scraped articles whenever a user accesses your site. * If your app deletes stories every time someone visits, your users won't be able to see any comments except the ones that they post. ### Helpful Links * [MongoDB Documentation](https://docs.mongodb.com/manual/) * [Mongoose Documentation](http://mongoosejs.com/docs/api.html) * [Cheerio Documentation](https://github.com/cheeriojs/cheerio) ### Reminder: Submission on BCS * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! --- ### Minimum Requirements * **This assignment must be deployed.** Attempt to complete homework assignment as described in instructions. If unable to complete certain portions, please pseudocode these portions to describe what remains to be completed. Hosting on Heroku and adding a README.md are required for this homework. In addition, add this homework to your portfolio, more information can be found below. --- ### Hosting on Heroku Now that we have a backend to our applications, we use Heroku for hosting. Please note that while **Heroku is free**, it will request credit card information if you have more than 5 applications at a time or are adding a database. Please see [Heroku’s Account Verification Information](https://devcenter.heroku.com/articles/account-verification) for more details. --- ### Create a README.md Add a `README.md` to your repository describing the project. Here are some resources for creating your `README.md`. Here are some resources to help you along the way: * [About READMEs](https://help.github.com/articles/about-readmes/) * [Mastering Markdown](https://guides.github.com/features/mastering-markdown/) --- ### Add To Your Portfolio After completing the homework please add the piece to your portfolio. Make sure to add a link to your updated portfolio in the comments section of your homework so the TAs can easily ensure you completed this step when they are grading the assignment. To receive an 'A' on any assignment, you must link to it from your portfolio. --- ### One Last Thing If you have any questions about this project or the material we have covered, please post them in the community channels in slack so that your fellow developers can help you! If you're still having trouble, you can come to office hours for assistance from your instructor and TAs. That goes threefold for this unit: MongoDB and Mongoose compose a challenging data management system. If there's anything you find confusing about these technologies, don't hesitate to speak with someone from the Boot Camp team. **Good Luck!**

🤖 - Amazon products scraper, kinda a backend for web crawlers applications, no puppeteer btw.

# All the News That's Fit to Scrape ### Overview In this assignment, you'll create a web app that lets users view and leave comments on the latest news. But you're not going to actually write any articles; instead, you'll flex your Mongoose and Cheerio muscles to scrape news from another site. ### Before You Begin 1. Create a GitHub repo for this assignment and clone it to your computer. Any name will do -- just make sure it's related to this project in some fashion. 2. Run `npm init`. When that's finished, install and save these npm packages: 3. express 4. express-handlebars 5. mongoose 6. body-parser 7. cheerio 8. request 9. **NOTE**: If you want to earn complete credit for your work, you must use all six of these packages in your assignment. 10. In order to deploy your project to Heroku, you must set up an mLab provision. mLab is remote MongoDB database that Heroku supports natively. Follow these steps to get it running: 11. Create a Heroku app in your project directory. 12. Run this command in your Terminal/Bash window: * `heroku addons:create mongolab` * This command will add the free mLab provision to your project. 13. When you go to connect your mongo database to mongoose, do so the following way: ```js // If deployed, use the deployed database. Otherwise use the local mongoHeadlines database var MONGODB_URI = process.env.MONGODB_URI || "mongodb://localhost/mongoHeadlines"; // Set mongoose to leverage built in JavaScript ES6 Promises // Connect to the Mongo DB mongoose.Promise = Promise; mongoose.connect(MONGODB_URI); ``` * This code should connect mongoose to your remote mongolab database if deployed, but otherwise will connect to the local mongoHeadlines database on your computer. 14. [Watch this demo of a possible submission](mongo-homework-demo.mov). See the deployed demo application [here](http://nyt-mongo-scraper.herokuapp.com/). 15. Your site doesn't need to match the demo's style, but feel free to attempt something similar if you'd like. Otherwise, just be creative! ### Submission on BCS * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! ## Instructions * Create an app that accomplishes the following: 1. Whenever a user visits your site, the app should scrape stories from a news outlet of your choice and display them for the user. Each scraped article should be saved to your application database. At a minimum, the app should scrape and display the following information for each article: * Headline - the title of the article * Summary - a short summary of the article * URL - the url to the original article * Feel free to add more content to your database (photos, bylines, and so on). 2. Users should also be able to leave comments on the articles displayed and revisit them later. The comments should be saved to the database as well and associated with their articles. Users should also be able to delete comments left on articles. All stored comments should be visible to every user. * Beyond these requirements, be creative and have fun with this! ### Tips * Go back to Saturday's activities if you need a refresher on how to partner one model with another. * Whenever you scrape a site for stories, make sure an article isn't already represented in your database before saving it; we don't want duplicates. * Don't just clear out your database and populate it with scraped articles whenever a user accesses your site. * If your app deletes stories every time someone visits, your users won't be able to see any comments except the ones that they post. ### Helpful Links * [MongoDB Documentation](https://docs.mongodb.com/manual/) * [Mongoose Documentation](http://mongoosejs.com/docs/api.html) * [Cheerio Documentation](https://github.com/cheeriojs/cheerio) ### Reminder: Submission on BCS * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! --- ### Minimum Requirements Attempt to complete homework assignment as described in instructions. If unable to complete certain portions, please pseudocode these portions to describe what remains to be completed. Hosting on Heroku and adding a README.md are required for this homework. In addition, add this homework to your portfolio, more information can be found below. --- ### Hosting on Heroku Now that we have a backend to our applications, we use Heroku for hosting. Please note that while **Heroku is free**, it will request credit card information if you have more than 5 applications at a time or are adding a database. Please see [Heroku’s Account Verification Information](https://devcenter.heroku.com/articles/account-verification) for more details. --- ### Create a README.md Add a `README.md` to your repository describing the project. Here are some resources for creating your `README.md`. Here are some resources to help you along the way: * [About READMEs](https://help.github.com/articles/about-readmes/) * [Mastering Markdown](https://guides.github.com/features/mastering-markdown/) --- ### Add To Your Portfolio After completing the homework please add the piece to your portfolio. Make sure to add a link to your updated portfolio in the comments section of your homework so the TAs can easily ensure you completed this step when they are grading the assignment. To receive an 'A' on any assignment, you must link to it from your portfolio. --- ### One Last Thing If you have any questions about this project or the material we have covered, please post them in the community channels in slack so that your fellow developers can help you! If you're still having trouble, you can come to office hours for assistance from your instructor and TAs. That goes threefold for this week: MongoDB and Mongoose compose a challenging data management system. If there's anything you find confusing about these technologies, don't hesitate to speak with someone from the Boot Camp team. **Good Luck!**

# All the News That's Fit to Scrape ### Overview In this assignment, you'll create a web app that lets users view and leave comments on the latest news. But you're not going to actually write any articles; instead, you'll flex your Mongoose and Cheerio muscles to scrape news from another site. ### Before You Begin 1. Create a GitHub repo for this assignment and clone it to your computer. Any name will do -- just make sure it's related to this project in some fashion. 2. Run `npm init`. When that's finished, install and save these npm packages: 1. express 2. express-handlebars 3. mongoose 4. cheerio 5. axios 3. **NOTE**: If you want to earn complete credit for your work, you must use all five of these packages in your assignment. 4. In order to deploy your project to Heroku, you must set up an mLab provision. mLab is remote MongoDB database that Heroku supports natively. Follow these steps to get it running: 5. Create a Heroku app in your project directory. 6. Run this command in your Terminal/Bash window: * `heroku addons:create mongolab` * This command will add the free mLab provision to your project. 7. When you go to connect your mongo database to mongoose, do so the following way: ```js // If deployed, use the deployed database. Otherwise use the local mongoHeadlines database var MONGODB_URI = process.env.MONGODB_URI || "mongodb://localhost/mongoHeadlines"; mongoose.connect(MONGODB_URI); ``` * This code should connect mongoose to your remote mongolab database if deployed, but otherwise will connect to the local mongoHeadlines database on your computer. 8. [Watch this demo of a possible submission](https://youtu.be/4ltZr3VPmno). See the deployed demo application [here](http://nyt-mongo-scraper.herokuapp.com/). 9. Your site doesn't need to match the demo's style, but feel free to attempt something similar if you'd like. Otherwise, just be creative! ### Commits Having an active and healthy commit history on GitHub is important for your future job search. It is also extremely important for making sure your work is saved in your repository. If something breaks, committing often ensures you are able to go back to a working version of your code. * Committing often is a signal to employers that you are actively working on your code and learning. * We use the mantra “commit early and often.” This means that when you write code that works, add it and commit it! * Numerous commits allow you to see how your app is progressing and give you a point to revert to if anything goes wrong. * Be clear and descriptive in your commit messaging. * When writing a commit message, avoid vague messages like "fixed." Be descriptive so that you and anyone else looking at your repository knows what happened with each commit. * We would like you to have well over 200 commits by graduation, so commit early and often! ### Submission on BCS * **This assignment must be deployed.** * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! ## Instructions * Create an app that accomplishes the following: 1. Whenever a user visits your site, the app should scrape stories from a news outlet of your choice and display them for the user. Each scraped article should be saved to your application database. At a minimum, the app should scrape and display the following information for each article: * Headline - the title of the article * Summary - a short summary of the article * URL - the url to the original article * Feel free to add more content to your database (photos, bylines, and so on). 2. Users should also be able to leave comments on the articles displayed and revisit them later. The comments should be saved to the database as well and associated with their articles. Users should also be able to delete comments left on articles. All stored comments should be visible to every user. * Beyond these requirements, be creative and have fun with this! ### Tips * Go back to Saturday's activities if you need a refresher on how to partner one model with another. * Whenever you scrape a site for stories, make sure an article isn't already represented in your database before saving it; Do not save any duplicate entries. * Don't just clear out your database and populate it with scraped articles whenever a user accesses your site. * If your app deletes stories every time someone visits, your users won't be able to see any comments except the ones that they post. ### Helpful Links * [MongoDB Documentation](https://docs.mongodb.com/manual/) * [Mongoose Documentation](http://mongoosejs.com/docs/api.html) * [Cheerio Documentation](https://github.com/cheeriojs/cheerio) ### Reminder: Submission on BCS * Please submit both the deployed Heroku link to your homework AND the link to the Github Repository! --- ### Minimum Requirements * **This assignment must be deployed.** Attempt to complete homework assignment as described in instructions. If unable to complete certain portions, please pseudocode these portions to describe what remains to be completed. Hosting on Heroku and adding a README.md are required for this homework. In addition, add this homework to your portfolio, more information can be found below. --- ### Hosting on Heroku Now that we have a backend to our applications, we use Heroku for hosting. Please note that while **Heroku is free**, it will request credit card information if you have more than 5 applications at a time or are adding a database. Please see [Heroku’s Account Verification Information](https://devcenter.heroku.com/articles/account-verification) for more details. --- ### Create a README.md Add a `README.md` to your repository describing the project. Here are some resources for creating your `README.md`. Here are some resources to help you along the way: * [About READMEs](https://help.github.com/articles/about-readmes/) * [Mastering Markdown](https://guides.github.com/features/mastering-markdown/) --- ### Add To Your Portfolio After completing the homework please add the piece to your portfolio. Make sure to add a link to your updated portfolio in the comments section of your homework so the TAs can easily ensure you completed this step when they are grading the assignment. To receive an 'A' on any assignment, you must link to it from your portfolio. --- ### One Last Thing If you have any questions about this project or the material we have covered, please post them in the community channels in slack so that your fellow developers can help you! If you're still having trouble, you can come to office hours for assistance from your instructor and TAs. That goes threefold for this unit: MongoDB and Mongoose compose a challenging data management system. If there's anything you find confusing about these technologies, don't hesitate to speak with someone from the Boot Camp team. **Good Luck!**

A simple web scraper and data visualizer that scrapes and preprocesses data from Fragrantica.com on the backend using BeautifulSoup and Flask, then visualizes it on the frontend using Recharts and React.

Embark on a 100-day adventure to master Golang, a powerful language for scalable backend systems. This structured plan guides you from beginner to advanced, blending theory, coding exercises, and hands-on projects for practical learning. By the end, you’ll build web scrapers, APIs, and microservices with confidence.

A full-stack GitHub User Scraper application built with the MERN stack. This React.js-based application allows users to search for and view GitHub profiles, displaying a list of scraped user data for convenient access. The backend, built with Node.js and Express.js, provides a robust RESTful API for efficient web scraping and data management.

No description available

Automated web scraper and backend API for microbial data acquisition from CosmosID. Built with Selenium, Flask, and PostgreSQL.

Scrape the freshest headlines from NPR News. Save, view and leave comments on your favorite headlines. This web scraper app features a Node/Express/MongoDB backend.

This project is a Python-based AI agent and web application for searching, scraping, and recommending products from Mercari Japan. It features a robust backend scraper, PostgreSQL integration, SEO tagging, and a modern Streamlit UI.

A full-stack GitHub Scraper built with a Python (FastAPI) backend and a Next.js frontend. It provides an intuitive web interface to search, filter, and discover GitHub repositories by language, stars, and other criteria using GitHub's powerful GraphQL API.

NSE Stock Data Scraper - Full-stack web app for downloading Indian stock market data. Features Node.js/Express backend with direct NSE API integration (10x faster than web scraping) and React frontend. Provides real-time progress tracking, configurable stock lists, and automated CSV export. Perfect for financial analysis and algorithmic trading.

Medium Article Scraper is a web application that scrapes articles from Medium based on a given topic. It leverages Express.js for the backend, MongoDB for data storage, and React with Chakra UI and Framer Motion for a smooth and visually appealing frontend experience.

# All the News That's Fit to Scrape ### Overview In this assignment, you'll create a web app that lets users view and leave comments on the latest news. But you're not going to actually write any articles; instead, you'll flex your Mongoose and Cheerio muscles to scrape news from another site. ### Before You Begin 1. Create a GitHub repo for this assignment and clone it to your computer. Any name will do -- just make sure it's related to this project in some fashion. 2. Run `npm init`. When that's finished, install and save these npm packages: 3. express 4. express-handlebars 5. mongoose 6. body-parser 7. cheerio 8. request 9. **NOTE**: If you want to earn complete credit for your work, you must use all six of these packages in your assignment. 10. In order to deploy your project to Heroku, you must set up an mLab provision. mLab is remote MongoDB database that Heroku supports natively. Follow these steps to get it running: 11. Create a Heroku app in your project directory. 12. Run this command in your Terminal/Bash window: * `heroku addons:create mongolab` * This command will add the free mLab provision to your project. 13. When you go to connect your mongo database to mongoose, do so the following way: ```js // If deployed, use the deployed database. Otherwise use the local mongoHeadlines database var MONGODB_URI = process.env.MONGODB_URI || "mongodb://localhost/mongoHeadlines"; // Set mongoose to leverage built in JavaScript ES6 Promises // Connect to the Mongo DB mongoose.Promise = Promise; mongoose.connect(MONGODB_URI); ``` * This code should connect mongoose to your remote mongolab database if deployed, but otherwise will connect to the local mongoHeadlines database on your computer. 14. [Watch this demo of a possible submission](mongo-homework-demo.mov). See the deployed demo application [here](http://nyt-mongo-scraper.herokuapp.com/). 15. Your site doesn't need to match the demo's style, but feel free to attempt something similar if you'd like. Otherwise, just be creative! ### Submission on BCS * Please submit both the deployed Github.io link to your homework AND the link to the Github Repository! ## Instructions * Create an app that accomplishes the following: 1. Whenever a user visits your site, the app should scrape stories from a news outlet of your choice and display them for the user. Each scraped article should be saved to your application database. At a minimum, the app should scrape and display the following information for each article: * Headline - the title of the article * Summary - a short summary of the article * URL - the url to the original article * Feel free to add more content to your database (photos, bylines, and so on). 2. Users should also be able to leave comments on the articles displayed and revisit them later. The comments should be saved to the database as well and associated with their articles. Users should also be able to delete comments left on articles. All stored comments should be visible to every user. * Beyond these requirements, be creative and have fun with this! ### Tips * Go back to Saturday's activities if you need a refresher on how to partner one model with another. * Whenever you scrape a site for stories, make sure an article isn't already represented in your database before saving it; we don't want duplicates. * Don't just clear out your database and populate it with scraped articles whenever a user accesses your site. * If your app deletes stories every time someone visits, your users won't be able to see any comments except the ones that they post. ### Helpful Links * [MongoDB Documentation](https://docs.mongodb.com/manual/) * [Mongoose Documentation](http://mongoosejs.com/docs/api.html) * [Cheerio Documentation](https://github.com/cheeriojs/cheerio) ### Reminder: Submission on BCS * Please submit both the deployed Github.io link to your homework AND the link to the Github Repository! --- ### Minimum Requirements Attempt to complete homework assignment as described in instructions. If unable to complete certain portions, please pseudocode these portions to describe what remains to be completed. Hosting on Heroku and adding a README.md are required for this homework. In addition, add this homework to your portfolio, more information can be found below. --- ### Hosting on Heroku Now that we have a backend to our applications, we use Heroku for hosting. Please note that while **Heroku is free**, it will request credit card information if you have more than 5 applications at a time or are adding a database. Please see [Heroku’s Account Verification Information](https://devcenter.heroku.com/articles/account-verification) for more details. --- ### Create a README.md Add a `README.md` to your repository describing the project. Here are some resources for creating your `README.md`. Here are some resources to help you along the way: * [About READMEs](https://help.github.com/articles/about-readmes/) * [Mastering Markdown](https://guides.github.com/features/mastering-markdown/) --- ### Add To Your Portfolio After completing the homework please add the piece to your portfolio. Make sure to add a link to your updated portfolio in the comments section of your homework so the TAs can easily ensure you completed this step when they are grading the assignment. To receive an 'A' on any assignment, you must link to it from your portfolio. --- ### One Last Thing If you have any questions about this project or the material we have covered, please post them in the community channels in slack so that your fellow developers can help you! If you're still having trouble, you can come to office hours for assistance from your instructor and TAs. That goes threefold for this week: MongoDB and Mongoose compose a challenging data management system. If there's anything you find confusing about these technologies, don't hesitate to speak with someone from the Bootcamp team. **Good Luck!**

Backend and Data for WebScraper Project

Website Scraper Backend Built on FastAPI

Web-Scraper is a robust web scraping web application built with Java Spring Boot and Jsoup, offering users an intuitive platform to easily collect data from websites. It provides features such as data scraping, storage options, error handling, data visualization.

Go Backend / Web Server and RSS Scraper

No description available

Web scraper backend and frontend for goodreads.com

The web interface (frontend and backend) for my price scraper

A web scraper created using Puppeteer library on the backend to scrape the stock market prediction data off of CNBC's premarket page.

Rust-based web scraper that fetches and parses Wikipedia articles to extract readable content, to be used in the Wiki-brief rust backend.

Python Tensorflow Backend to Selenium Web Scraper Front End For Tracking and Predicting Gym Occupancy at the University of St Andrews University Sports Center

Backend API del proyecto DescuentApp, un sistema que integra web scrapers personalizados para cada banco, diseñado para recopilar información sobre beneficios y promociones bancarias.

A browser-based web scraper with a DevTools-style DOM picker, click-to-inspect, live preview, multi-proxy fallback, and smart data cleaning. No backend required.