---
tags: nlp
---

# Webscraping

These notebooks give you examples of how to collect data from websites and then curate that data in to a dataset that other researchers can use. Unfortunately, there's no one-size-fits-all method for webscraping. Instead each website and data source is different. To that end, these notebooks document how *I* do webscraping, though there are many ways to do the same thing and get the same result.

```{gallery-grid}
---
grid-columns: 1
---
- header: "{fas}`book` Static Webscraping with `BeautifulSoup`"
  content: "Learn to issue requests and parse page content for data collection and curation."
  link: "./static-webscraping-with.html"

- header: "{fas}`book` Dynamic Webscraping with `Selenium`"
  content: "Automate website interaction in Python for data extraction."
  link: "./dynamic-webscraping.html"

- header: "{fas}`book` Scraping Reddit"
  content: "Use the `pushpull.io` API to discover the depth of Reddit data."
  link: "./webscraping-iii-scraping-reddit.html"
```