Learn the structure of HTML. We begin by explaining why web scraping can be a valuable addition to your data science toolbox and then delving into some basics of HTML. We end the chapter by giving a brief introduction on XPath notation, which is used to navigate the elements within HTML code.

Overzicht van webscraping

Webscraping is geen onzin!

HyperText Markup Language

Woordelijke navigatie in de HTML-boom

Van boom naar HTML

Attributen

Hou het classy

href vinden

Snelcursus XPath

Waar ben ik?

Tijd om te P

Een stijlvolle span

Introduction to HTML

Leverage XPath syntax to explore scrapy selectors. Both of these concepts will move you towards being able to scrape an HTML document.

XPathology

Counting Elements in the Wild

Body Appendages

Choose DataCamp!

Off the Beaten XPath

Where it's @

Check your Class

Hyper(link) Active

Secret Links

Selector Objects

XPath Chaining

Divvy Up This Exercise

The Source of the Source

Course Class by Inspection

Requesting a Selector

XPaths and Selectors

Learn CSS Locator syntax and begin playing with the idea of chaining together CSS Locators with XPath. We also introduce Response objects, which behave like Selectors but give us extra tools to mobilize our scraping efforts across multiple websites. 

From XPath to CSS

The (X)Path to CSS Locators

Get an "a" in this Course

The CSS Wildcard

CSS Attributes and Text Selection

You've been `href`ed

Top Level Text

All Level Text

Respond Please!

Reveal By Response

Responding with Selectors

Selecting from a Selection

Survey

Titular

Scraping with Children

CSS Locators, Chaining, and Responses

Learn to create web crawlers with scrapy. These scrapy spiders will crawl the web through multiple pages, following links to scrape each of those pages automatically according to the procedures we've learned in the previous chapters.

Your First Spider

Inheriting the Spider

Hurl the URLs

Start Requests

Self Referencing is Classy

Starting with Start Requests

Parse and Crawl

Pen Names

Crawler Time

Capstone

Time to Run

DataCamp Descriptions

Capstone Crawler

The Finale

Spiders

DataCamp webpage HTML

Het kunnen bouwen van tools die informatie van het internet ophalen en parseren, is al jaren waardevol en blijft dat in veel takken van data science. In deze cursus leer je HTML-code te navigeren en te parseren, en bouw je tools om websites automatisch te crawlen. Hoewel we scrapen met de veelzijdige Python-bibliotheek scrapy, kun je veel van de technieken uit deze cursus ook toepassen op andere populaire Python-bibliotheken, zoals BeautifulSoup en Selenium. Na afloop heb je een sterk mentaal model van de HTML-structuur, kun je tools bouwen om HTML te parseren en gewenste informatie te verkrijgen, en maak je eenvoudige scrapy-spiders om het web op schaal te crawlen.

Intermediate Python

Leer informatie van internet op te halen en te verwerken met de Python-bibliotheek Scrapy.

Webscraping in Python

Python-ontwikkelaar

Webscraping is geen onzin!

Webscraping in Python

Praktische interactieve oefening