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Topic: "web-scrapping-using-selenium"

Praveen76/Web-Scraping-using-Selenium-Python

Effortlessly gather image data for your deep learning projects using this repository. With Selenium and Python, explore a robust web-scraping solution designed for acquiring numerous images. Accelerate your model training with diverse and extensive datasets, making your deep learning endeavors more effective and efficient.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 11

KalyanM45/YouTube-Content-Scraper

The provided Python code is a web application built using the Flask framework, designed to scrape data from YouTube based on a specified company name. This application aims to automate the process of collecting information about videos associated with a particular company on YouTube and present the data to users in a downloadable CSV file.

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

partner0307/flask-web-scrapping

This is flask app to scrap the website and export to excel file. Let's create a new world with shinobi

Language: Python - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

andreea-39/Web-Scrapping-Scripts

Language: Python - Size: 9.88 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Siddharth1989/WranglingRealEstateData

Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.

Language: Jupyter Notebook - Size: 8.51 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

danielsyahputra/google-news-scrapper

This scrapper makes you able to scrape all news in Google related to your query

Language: Python - Size: 7.05 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Syed-Owais-Noor/web-scraping

In this project, we are scraping the data of a hadith website with the help of the following libraries: 1. Selenium 2. Webdriver_manager 3. Time 4. CSV 5. Re 6. Request We have also performed to RE in this project: 1. To find Arabic number 2. To count hadith in a similar book And our goal is to create 4 CSV files named 1. Master file 2. Narrator file 3. Reference file 4. Hadith count in reference file All of them have different data but have one column in common which is the Manual Hadith number which will make searching possible in different files because all the data of these files is interconnected with each other. We are using python as our programming language and the software or we can say the text editor that we are using for the compilation of our program is mentioned under the stack info heading of this report. Further, we have described almost all the functionality of our code under the methodology heading and have attached three test case images of our project under the three test cases heading

Language: Jupyter Notebook - Size: 669 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0