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soupvsfeedparser

MIT 22 1 2,116
58.1 thousand (month) Apr 29 2017 v1.2.5(2 years ago)
1,821 8 83 BSD-2-Clause
6.0.11(3 months ago) Jun 15 2007 3.4 million (month)

soup is a Go library for parsing and querying HTML documents.

It provides a simple and intuitive interface for extracting information from HTML pages. It's inspired by popular Python web scraping library BeautifulSoup and shares similar use API implementing functions like Find and FindAll.

soup can also use go's built-in http client to download HTML content.

Note that unlike beautifulsoup, soup does not support CSS selectors or XPath.

feedparser is a Python module for downloading and parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. It also parses several popular extension modules, including Dublin Core and Apple’s iTunes extensions.

To use Universal Feed Parser, you will need Python 3.6 or later. Universal Feed Parser is not meant to run standalone; it is a module for you to use as part of a larger Python program.

feedparser can be used to scrape data feeds as it can download them and parse the XML structured data.

Example Use


package main

import (
  "fmt"
  "log"

  "github.com/anaskhan96/soup"
)

func main() {

  url := "https://www.bing.com/search?q=weather+Toronto"

  # soup has basic HTTP client though it's not recommended for scraping:
  resp, err := soup.Get(url)
  if err != nil {
    log.Fatal(err)
  }

  # create soup object from HTML
  doc := soup.HTMLParse(resp)

  # html elements can be found using Find or FindStrict methods:
  # in this case find <div> elements where "class" attribute matches some values:
  grid := doc.FindStrict("div", "class", "b_antiTopBleed b_antiSideBleed b_antiBottomBleed")
  # note: to find all elements FindAll() method can be used the same way

  # elements can be further searched for descendents:
  heading := grid.Find("div", "class", "wtr_titleCtrn").Find("div").Text()
  conditions := grid.Find("div", "class", "wtr_condition")
  primaryCondition := conditions.Find("div")
  secondaryCondition := primaryCondition.FindNextElementSibling()
  temp := primaryCondition.Find("div", "class", "wtr_condiTemp").Find("div").Text()
  others := primaryCondition.Find("div", "class", "wtr_condiAttribs").FindAll("div")
  caption := secondaryCondition.Find("div").Text()

  fmt.Println("City Name : " + heading)
  fmt.Println("Temperature : " + temp + "˚C")
  for _, i := range others {
    fmt.Println(i.Text())
  }
  fmt.Println(caption)
}
import feedparser

# the feed can be loaded from a remote URL
data = feedparser.parse('http://feedparser.org/docs/examples/atom10.xml')
# local path
data = feedparser.parse('/home/user/data.xml')
# or raw string
data = feedparser.parse('<xml>...</xml>')

# the result dataset is a nested python dictionary containing feed data:
data['feed']['title']

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