30 skills found
alt-zap / Alt ZapShare your products and receive orders using Whatsapp and a custom webpage
sn2606 / TravelLogSocial Network website for sharing travel experiences & travel micro-blogging.
prolificjones82 / Redbubble APIA homebrew API designed to put your Redbubble products on your webpage. It allows you to pull a users collections and images inside the collections. The API terminates at the point of selecting an individual item, this will send you to the Redbubble website page for that item.
iho-ohi / S100ResourcesThis webpage provides the latest edition of S-100 based Product Specifications and related to their information.
balasubramani10 / Online Grocery Selling WebappOnline grocery selling webpage using Django, HTML, CSS, JS, MySQL. Features user authentication, product catalog, shopping cart, checkout with payment integration. Admin panel for managing products and orders.
borakasmer / GoWebParserWe will get new product data with different currency prices by using .Net Core web API. But we will insert all products with the same ₺ currency. So we will parse a webpage and get Dolar, Euro, and British Pound currency value from the HTML and convert it to the ₺ Turkish Liras with Go lang. For all these processes, we will use Microservices. For improving the performance, we will use the Redis Cache. If there is no any Currency data in it, we will put all product data to RabbbitMQ and get every product data one by one and publish the consumer with Go lang. Convert all product's price currency to ₺ Turkish Liras. We will save current currency data to Redis for one minute and insert all product data with the created date with Go lang.
jlira5418 / Web Scraping Challenge## Step 1 - Scraping Complete your initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. * Create a Jupyter Notebook file called `mission_to_mars.ipynb` and use this to complete all of your scraping and analysis tasks. The following outlines what you need to scrape. ### NASA Mars News * Scrape the [Mars News Site](https://redplanetscience.com/) and collect the latest News Title and Paragraph Text. Assign the text to variables that you can reference later. ```python # Example: news_title = "NASA's Next Mars Mission to Investigate Interior of Red Planet" news_p = "Preparation of NASA's next spacecraft to Mars, InSight, has ramped up this summer, on course for launch next May from Vandenberg Air Force Base in central California -- the first interplanetary launch in history from America's West Coast." ``` ### JPL Mars Space Images - Featured Image * Visit the url for the Featured Space Image site [here](https://spaceimages-mars.com). * Use splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable called `featured_image_url`. * Make sure to find the image url to the full size `.jpg` image. * Make sure to save a complete url string for this image. ```python # Example: featured_image_url = 'https://spaceimages-mars.com/image/featured/mars2.jpg' ``` ### Mars Facts * Visit the Mars Facts webpage [here](https://galaxyfacts-mars.com) and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, etc. * Use Pandas to convert the data to a HTML table string. ### Mars Hemispheres * Visit the astrogeology site [here](https://marshemispheres.com/) to obtain high resolution images for each of Mar's hemispheres. * You will need to click each of the links to the hemispheres in order to find the image url to the full resolution image. * Save both the image url string for the full resolution hemisphere image, and the Hemisphere title containing the hemisphere name. Use a Python dictionary to store the data using the keys `img_url` and `title`. * Append the dictionary with the image url string and the hemisphere title to a list. This list will contain one dictionary for each hemisphere. ```python # Example: hemisphere_image_urls = [ {"title": "Valles Marineris Hemisphere", "img_url": "..."}, {"title": "Cerberus Hemisphere", "img_url": "..."}, {"title": "Schiaparelli Hemisphere", "img_url": "..."}, {"title": "Syrtis Major Hemisphere", "img_url": "..."}, ] ``` - - - ## Step 2 - MongoDB and Flask Application Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above. * Start by converting your Jupyter notebook into a Python script called `scrape_mars.py` with a function called `scrape` that will execute all of your scraping code from above and return one Python dictionary containing all of the scraped data. * Next, create a route called `/scrape` that will import your `scrape_mars.py` script and call your `scrape` function. * Store the return value in Mongo as a Python dictionary. * Create a root route `/` that will query your Mongo database and pass the mars data into an HTML template to display the data. * Create a template HTML file called `index.html` that will take the mars data dictionary and display all of the data in the appropriate HTML elements. Use the following as a guide for what the final product should look like, but feel free to create your own design.  - - - ## Step 3 - Submission To submit your work to BootCampSpot, create a new GitHub repository and upload the following: 1. The Jupyter Notebook containing the scraping code used. 2. Screenshots of your final application. 3. Submit the link to your new repository to BootCampSpot. 4. Ensure your repository has regular commits and a thorough README.md file ## Hints * Use Splinter to navigate the sites when needed and BeautifulSoup to help find and parse out the necessary data. * Use Pymongo for CRUD applications for your database. For this homework, you can simply overwrite the existing document each time the `/scrape` url is visited and new data is obtained. * Use Bootstrap to structure your HTML template.
all-my-frontend-mini-projects / Manage Landing Page Frontend ProjectExplore the power of data analytics with Manage Landing Page! This webpage provides companies with data analytics tools for analyzing website traffic, helping them create products that better fit the market and are loved by customers. The newsletter sign-up form includes error validation to ensure that users provide valid input.
vaibhavlanghe / Artificial Jewellery Online Shopping Website Publicartificial-jewellery-online-shopping-website The website is build with HTML,CSS,BOTSTRAP and PHP for server side scripting and MySQL for backend. The website is for jewellery shopping the user can also upload their products and the desgin of the products webpage becomes designed dynamic. The purpose of the project is to upload products dynamically and the design of products pages becomes automatically. The website is more secure as it uses MD5 and SHA1 for encrypting password and encrypted password stored in the database instead plain texts
baaastijn / Ovh PricelistBuild a webpage showing OVH Cloud products pricelist (dedicated servers, VPS, Public Cloud, ..)
twilkinson573 / Page HuntIt's Product Hunt for cool webpages
joelbandi / Marketing BullshiteAn organic, pre-emptive and fresh-thinking NPM module that gives you a smattering of fluffy words that dont mean anything but looks great on your product webpage
timekadel / Mini LandingMiniLanding is a minimalistic vue.js/tailwind.css based static landing page generator. Its no-code approach allows for quick and simple landing page generation.
codex-learn / Amazon Price TrackerAmazon Price Tracker automatically track any amazon product price and sends notification when price goes down to grab the deal. We are using five Modules to build Amazon Price Tracker using Python 1. Requests Requests module allows you to send HTTP requests using Python Installation: pip install requests 2. Time Time is inbuilt module which provide many ways of representing time. 3. BeautifulSoup BeautifulSoup allows to scrape information from webpages. Installation: pip install beautifulsoup4 4. fake-useragent fake-useragent module provide random user-agent header Installation: pip install fake-useragent 5. win10toast win10toast module is use for displaying window 10 Toast notification Installation: pip install win10toast
MuhammadUmar05 / TechNest GearsA responsive e-commerce product listing webpage built using HTML, Bootstrap for styling, and JavaScript for interactivity. Features include dynamic product rendering, an interactive cart, and seamless UI updates.
pdz1804 / Dual Attn Op DiscoveryThis repository uses a Dual Attention model to extract company keywords from webpages and a Transformation Matrix to map companies to patents. Given a technology query (patent abstract), it recommends top-matching companies along with Machine Learning-generated product suggestions based on similarity.
fernandezafb / Java Jsoup Web ScraperJava Spring Boot console application that crawls a product list webpage
Redvanisation / CommerceJS Integration GuideIntegration guide to list products on a webpage using React and Commerce.js SDK
mugilmalathi / DermStoreWebpage to buy Cosmetic items. Account authentication page added for signup and sign-in. Sorting functionalities helps to sort out to buy products. Add to Cart page has coupon code functionalities.
Drake343 / 3D Virtual Dressing RoomThis project aims to help the customer in facilitating the process of buying clothes through the internet by viewing a 3D model of the product depending on Three.js a 3D library that tries to make it easy to get 3D content on a webpage which depends on the WebGL (Web Graphics Library). Also, the website comes with an algorithm that calculates the accurate size for the customer based on some data that the customer enters then the system will suggest some suitable clothes for him.
