MoltSpider is a broad spider to crawl all kinds of articles, books, novels, comis and so on.
- Why this project?
This project is based on another spider project to crawl internet novels for a specified website. Later the website was dead. So I want to extend the spider to make it be able to crawl all kinds of websites based on schema definitions.
- Why this name?
The spider likes to molt so that it can crawl on another web.
This spider is built base on python and scrapy.
The crawled data is stored in database like postgresql
A simple reader readnovel.py is built on flask so that you can quick view crawled article.
How spiders are defined, how web pages are crawled.
- Article
Base component to represent a (serials) of book, novel, art, comic, video and so on.
- META
Meta information of an article such as authoer, date, category, description
and so on
- TOC
Table of content of the article. Such as chapters list of a book, episodes list
of a tv serials.
- Chapter
A chapter of a book, one epsidoe of a tv serial. Basically its has link and text
on TOC.
- Content
The real data of a chapter such as text, video data.
- Index
A list to show all articles such as books, comics and so on.
- Home
Where we can found all the index lists
I defined 4-5 levels web pages for a website.
- Home
Home page of a website.
For example, https://lifehacker.com/ is the home page of LifeHacker.
Sometimes, it's not the common meaning of a website home page.
It should be the catalog page of the website which list all index page.
But its home is not this.
For example, https://www.msn.com/en-us is home page of MSN English language.
But we can not grab index page from it. So we treat https://www.msn.com/en-us/sports
as the home of msn-sports website. "NFL NBA MLB NHL NCAA FB NCAA BK Golf Tennis"
listed at top of the page will be link of index page of each kind of sport.
- index
- Home
- Index
- Meta
- TOC
- Chapter