Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM agents with fresh data. AI Studio python SDK for intelligent web data gathering.

The web scraping open project repository aims to share knowledge and experiences about web scraping with Python

Dorks Eye Google Hacking Dork Scraping and Searching Script. Dorks Eye is a script I made in python 3. With this tool, you can easily find Google Dorks. Dork Eye collects potentially vulnerable web pages and applications on the Internet or other awesome info that is picked up by Google's search bots. Author: Jolanda de Koff

Python 入门爬虫和数据分析实战

In this Python Web Scraping Tutorial, we will outline everything needed to get started with web scraping. We will begin with simple examples and move on to relatively more complex.

Tutorial: Web scraping in Python with Beautiful Soup

PocketGroq is a powerful Python library that simplifies integration with the Groq API, offering advanced features for natural language processing, web scraping, and autonomous agent capabilities. Key Features Seamless integration with Groq API for text generation and completion Chain of Thought (CoT) reasoning for complex problem-solving and more.

用Python写网络爬虫 学习总结和代码

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

Web Scraping with Python

Code for the second edition Web Scraping with Python book by Packt Publications

Data collection in Python. Web Scraping with Beautiful Soup, Selenium and Scrapy

Python implementation of web scraping of TripAdvisor with Selenium in a new 2019 website

Anti-detect browser for web scraping and automation. Engine-level fingerprint masking for Chromium and Firefox. Self-hosted, Docker-ready. Integrates with Selenium, Playwright, and Puppeteer via SDKs in Python, JavaScript, and C#.

In this repository i will expalin how to scrap websites using python programming language with BeautifulSoup and requestsmodulues

A course in the fundamental skills for data science. Primarily python coding, web scraping and data wrangling along with some special topics in LaTeX, research ethics and research questions.

Example source code for the book "Web Scraping for Data Science with Python"

Instagram web scraping spider built with Python Scrapy

Hands-On Web Scraping with Python, published by Packt

Web scraping the popular job listing site "Glassdoor" with Python and BeautifulSoup. Implemented from scratch.

Hands-On Web Scraping with Python - Second Edition, published by Packt

Async web scraping framework on top of Rust. Works with Free-threaded Python (`PYTHON_GIL=0`).

The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.

Repository for the Mastering Web Scraping in Python: Scaling to Distributed Crawling blogpost with the final code.

program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!

A Python based web scraping api built with fastapi to get manga contents.

A Python module for AI-powered web scraping with customizable field extraction using Google's Gemini AI.