I am scraping baseball reference for a data science project, and have come a cross an issue when trying to scrape player data from a specific league. A league that jsut started playing this season. When I scrape old leagues that have already finished playing I have no issues. But I want to scrape the league at this link: https://www.baseball-reference.com/register/league.cgi?id=c346199a live as the season goes. However the links are hidden behind a lot of what seem to be plain text. So BeautifulSoup.find_all('a', href = True) does not work.
So instead here is what my thought process has been so far.
html = BeautifulSoup(requests.get('https://www.baseball-reference.com/register/league.cgi?id=c346199a').text, features = 'html.parser').find_all('div')
ind = [str(div) for div in html][0]
orig_ind = ind[ind.find('/register/team.cgi?id='):]
count = orig_ind.count('/register/team.cgi?id=')
team_links = []
for i in range(count):
# rn finds the same one over and over
link = orig_ind[orig_ind.find('/register/team.cgi?id='):orig_ind.find('title')].strip().replace('"', '')
# try to remove it from orig_ind and do the next link...
# this is the part that is not working rn
orig_ind = orig_ind.replace(link, '')
team_links.append('https://baseball-reference.com' link)
Which outputs:
['https://baseball-reference.com/register/team.cgi?id=71fe19cd',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
'https://baseball-reference.com',
and so on. I am trying to get all of the team links from this page: https://www.baseball-reference.com/register/league.cgi?id=c346199a
and then crawl over to the player links on each of those pages and collect some data. Like I said it works on pretty much every single league I have ever tried on except for this one.
Any help is greatly appriciated.
CodePudding user response:
The tables you see on this site is stored inside HTML comments (<!-- ... -->
) so BeautifulSoup normally doesn't see them. To parse them try next example:
import requests
from bs4 import BeautifulSoup, Comment
soup = BeautifulSoup(
requests.get(
"https://www.baseball-reference.com/register/league.cgi?id=c346199a"
).text,
features="html.parser",
)
s = "".join(c for c in soup.find_all(text=Comment) if "table_container" in c)
soup = BeautifulSoup(s, "html.parser")
for a in soup.select('[href*="/register/team.cgi?id="]'):
print("{:<30} {}".format(a.text, a["href"]))
Prints:
Battle Creek Bombers /register/team.cgi?id=f3c4b615
Kenosha Kingfish /register/team.cgi?id=71fe19cd
Kokomo Jackrabbits /register/team.cgi?id=8f1a41fc
Rockford Rivets /register/team.cgi?id=9f4fe2ef
Traverse City Pit Spitters /register/team.cgi?id=7bc8d111
Kalamazoo Growlers /register/team.cgi?id=9995d2a1
Fond du Lac Dock Spiders /register/team.cgi?id=02911efc
...and so on.