requests-ss 0.1.5

A comprehensive web content scraping tool for text, images, audio and video

HTML Content Scraper - README

Overview

This Python script provides a set of tools for scraping and processing different types of content from web pages, including text, images, audio, and video. It's organized into three main classes: html, run, and show, each serving different purposes in the content scraping and display process. Features

1. html Class

• Text Extraction: Extracts text content from HTML elements (div, p, etc.) and saves it to text files.

• Image Downloading: Downloads images from specified HTML elements or all images on a page.

• Audio Downloading: Extracts and downloads audio files from HTML audio elements.

2. run Class

• Direct Downloads: Downloads media files (music, video, text) directly from provided URLs.

• Video Processing: Handles video content with optional URL prefixing.

3. show Class

• Content Display: Displays downloaded content, including text files, images, audio, and video.

Usage

Text Extraction

python

html.txt('br', url, class_name, next_page_class, tag='div', next_tag='div', base_url='https:/', index=None)

• 'br' or 'p': Specifies the extraction mode.

• url: The starting URL to scrape.

• class_name: The class of the element containing the text.

• next_page_class: The class of the element containing the link to the next page.

Image Downloading

python

html.img(url, container_class=None, prefix=None)

• url: The URL of the page containing images.

• container_class: Optional. The class of the container element holding the images.

• prefix: Optional. A URL prefix to prepend to image sources.

Audio Downloading

python

html.audio(url, container_class=None)

• url: The URL of the page containing audio files.

• container_class: Optional. The class of the container element holding the audio files.

Direct Media Download

python

run.music(url, output_name='1') # For audio run.video(url, output_name='1', prefix=None) # For video run.txt(url, output_name='1') # For text

Display Content

python

show.txt('连续', txt, start=1, end=1) # Display multiple text files show.txt('单个', txt) # Display a single text file show.image(img) # Display an image show.music(mp3) # Play audio show.video(mp4) # Play video Dependencies

• requests: For making HTTP requests.

• bs4 (BeautifulSoup): For parsing HTML.

• lxml: As a parser for BeautifulSoup.

• PIL (Pillow): For image display.

• audioplayer: For audio playback.

• moviepy: For video playback.

Notes

• Ensure all dependencies are installed before running the script.

• The script includes error handling with basic try-except blocks.

• User-Agent is set to mimic a Chrome browser to avoid blocking by some websites.

Example

python

Download images from a webpage

html.img('https://example.com/gallery', 'image-container')

Display the first downloaded image

show.image('1')

This tool is useful for scraping and organizing content from web pages efficiently. Adjust parameters as needed for specific use cases.HTML Content Scraper - README

Overview

This Python script provides a set of tools for scraping and processing different types of content from web pages, including text, images, audio, and video. It's organized into three main classes: html, run, and show, each serving different purposes in the content scraping and display process. Features

1. html Class

• Text Extraction: Extracts text content from HTML elements (div, p, etc.) and saves it to text files.

• Image Downloading: Downloads images from specified HTML elements or all images on a page.

• Audio Downloading: Extracts and downloads audio files from HTML audio elements.

2. run Class

• Direct Downloads: Downloads media files (music, video, text) directly from provided URLs.

• Video Processing: Handles video content with optional URL prefixing.

3. show Class

• Content Display: Displays downloaded content, including text files, images, audio, and video.

Usage

Text Extraction

python

html.txt('br', url, class_name, next_page_class, tag='div', next_tag='div', base_url='https:/', index=None)

• 'br' or 'p': Specifies the extraction mode.

• url: The starting URL to scrape.

• class_name: The class of the element containing the text.

• next_page_class: The class of the element containing the link to the next page.

Image Downloading

python

html.img(url, container_class=None, prefix=None)

• url: The URL of the page containing images.

• container_class: Optional. The class of the container element holding the images.

• prefix: Optional. A URL prefix to prepend to image sources.

Audio Downloading

python

html.audio(url, container_class=None)

• url: The URL of the page containing audio files.

• container_class: Optional. The class of the container element holding the audio files.

Direct Media Download

python

run.music(url, output_name='1') # For audio run.video(url, output_name='1', prefix=None) # For video run.txt(url, output_name='1') # For text

Display Content

python

show.txt('连续', txt, start=1, end=1) # Display multiple text files show.txt('单个', txt) # Display a single text file show.image(img) # Display an image show.music(mp3) # Play audio show.video(mp4) # Play video Dependencies

• requests: For making HTTP requests.

• bs4 (BeautifulSoup): For parsing HTML.

• lxml: As a parser for BeautifulSoup.

• PIL (Pillow): For image display.

• audioplayer: For audio playback.

• moviepy: For video playback.

Notes

• Ensure all dependencies are installed before running the script.

• The script includes error handling with basic try-except blocks.

• User-Agent is set to mimic a Chrome browser to avoid blocking by some websites.

Example

python

Download images from a webpage

html.img('https://example.com/gallery', 'image-container')

Display the first downloaded image

show.image('1')

This tool is useful for scraping and organizing content from web pages efficiently. Adjust parameters as needed for specific use cases.