ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.

Python various Important codes, Machine learning, NLP using Spacy and NLTK with Neural Network in ML

In this guide on how to web scrape with Selenium, we will be using Python 3. The code should work with any version of Python above 3.6

简单的etl 支持跨数据库抽取数据库

The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.

An Instagram crawler for fetching a profile.

Sample project showing how to integrate the Docutain Document Scanner SDK into an Android application.

This web scraper is intended to extract data from The Home Depot Website, it could be run locally or in the Apify platform, the latter is the preferred way. It was made using Apify SDK V3 (Crawlee) with Typescript.

A simple web scraping bot for scraping information from seekout.com written in Python and Selenium

A shoe👟 recommendation website.

Sample project showing how to integrate the Docutain Document Scanner SDK into a .NET MAUI application.

Given a person’s credit-related information, I am building a Machine/Deep learning model that can classify the credit score.

The "RGPV Result Scraper" is a Python script that automates the extraction of student results from the Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) website. It handles captchas and saves data in CSV files, making it a valuable tool for academic record retrieval.

Sample project showing how to integrate the Docutain Document Scanner SDK into a React Native application.

Caffeine is a computer malware. Created it as a uni project and by the time it developed as my final diploma thesis

Scrape historic Google Scholar Organic and Cite results to CSV, MySQL Lite using Python and SerpApi.

The LinkedIn Campaign Data Extractor is a Python script that fetches campaign data from LinkedIn's Ad accounts, and analyzes them based on a specific date range.

I have used a python code to extract the details of a given username.

A versatile Python script for scraping data from websites. This script automates data extraction, processes the information, and saves it in a structured format like CSV. Ideal for data collection, research, and analysis tasks.