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Kovid Goyal 2025-08-24 19:57:46 +05:30
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@ -3,17 +3,24 @@
import json
import re
from collections import OrderedDict
from urllib.parse import urlencode, urljoin
from urllib.parse import urlparse
from mechanize import Request
from html5_parser import parse
from calibre import browser, random_user_agent
from calibre.web.feeds.news import BasicNewsRecipe, classes
def absurl(url):
if url.startswith('/'):
url = 'https://www.hbr.org' + url
return url
class HBR(BasicNewsRecipe):
title = 'Harvard Business Review'
__author__ = 'unkn0wn, updated by ping'
__author__ = 'unkn0wn'
description = (
'Harvard Business Review is the leading destination for smart management thinking. '
'Through its flagship magazine, books, and digital content and tools published on HBR.org, '
@ -27,165 +34,167 @@ class HBR(BasicNewsRecipe):
encoding = 'utf-8'
remove_javascript = True
no_stylesheets = True
auto_cleanup = False
compress_news_images = True
ignore_duplicate_articles = {'url'}
base_url = 'https://hbr.org'
remove_attributes = ['height', 'width', 'style']
resolve_internal_links = True
extra_css = '''
h1.article-hed { font-size: x-large; margin-bottom: 0.4rem; }
.article-dek { font-size: large; font-style: italic; margin-bottom: 1rem; }
.article-byline { margin-top: 0.7rem; font-size: medium; font-style: normal; font-weight: bold; }
.pub-date { font-size: small; margin-bottom: 1rem; }
img {
display: block; margin-bottom: 0.3rem; max-width: 100%; height: auto;
box-sizing: border-box;
}
.container--caption-credits-hero, .container--caption-credits-inline, span.credit { font-size: small; }
.question { font-weight: bold; }
.description-text {
margin: 1rem 0;
border-top: 1px solid gray;
padding-top: 0.5rem;
font-style: italic;
}
'''
.article-summary, .article-ideainbrief,
.description-text, .link--black, .topic, .auth {font-size:small; color:#202020;}
.credits--hero-image, .credits--inline-image, .caption--inline-image,
.calibre-nuked-tag-figcaption {font-size:small; text-align:center;}
.sub { font-style: italic; }
.article-byline-list {font-size:small; font-weight:bold;}
.question {font-weight:bold;}
.right-rail--container {font-size:small; color:#404040;}
.article-callout, .slug-content {color:#404040;}
.article-sidebar {color:#202020;}
'''
keep_only_tags = [
classes(
'headline-container article-dek-group pub-date hero-image-content '
'article-body standard-content'
),
]
remove_tags = [
classes(
'left-rail--container translate-message follow-topic '
'newsletter-container by-prefix related-topics--common'
),
dict(name=['article-sidebar']),
]
def preprocess_raw_html(self, raw_html, article_url):
soup = self.soup(raw_html)
# break author byline out of list
byline_list = soup.find('ul', class_='article-byline-list')
if byline_list:
byline = byline_list.parent
byline.append(
', '.join(
[
self.tag_to_string(author)
for author in byline_list.find_all(class_='article-author')
]
)
)
byline_list.decompose()
# Extract full article content
content_ele = soup.find(
'content',
attrs={
'data-index': True,
'data-page-year': True,
'data-page-month': True,
'data-page-seo-title': True,
'data-page-slug': True,
},
def preprocess_raw_html(self, raw, url):
root = parse(raw)
script = root.xpath('//script[@id="__NEXT_DATA__"]')
data = json.loads(script[0].text)
data = data['props']['pageProps']['article']
endpoint_url = (
'https://platform.hbr.org/hbr/bff/content/article' + urlparse(url).path
)
endpoint_url = 'https://hbr.org/api/article/piano/content?' + urlencode(
{
'year': content_ele['data-page-year'],
'month': content_ele['data-page-month'],
'seotitle': content_ele['data-page-seo-title'],
}
)
data = {
'contentKey': content_ele['data-index'],
'pageSlug': content_ele['data-page-slug'],
topic = ''
if data.get('primaryTopic'):
topic = f'<div class="topic">{data["primaryTopic"]}</div>'
title = f'<h1>{data["title"]}</h1>'
dek = f'<p class="sub">{data.get("dek", "")}</p>'
hero = ''
if data.get('hero'):
hero = f'<img src={absurl(data["hero"]["image"]["defaultSrc"])}>'
auth = ''
if data.get('authors'):
auth = f'<p class="auth">{"By " + ", ".join(x["name"] for x in data.get("authors", {}))}</p>'
key_ = {
'contentKey': data['contentKey'],
}
headers = {
'User-Agent': random_user_agent(),
'Pragma': 'no-cache',
'Cache-Control': 'no-cache',
'Content-Type': 'application/json',
'Referer': article_url,
}
br = browser()
req = Request(
endpoint_url,
headers=headers,
data=json.dumps(data),
data=json.dumps(key_),
method='POST',
timeout=self.timeout,
)
res = br.open(req)
article = json.loads(res.read())
new_soup = self.soup(article['content'])
# clear out existing partial content
for c in list(content_ele.children):
c.extract() # use extract() instead of decompose() because of strings
content_ele.append(new_soup.body)
return str(soup)
body = json.loads(res.read())['content']
return (
'<html><body><article>'
+ topic
+ title
+ dek
+ hero
+ auth
+ body
+ '</article></body></html>'
)
recipe_specific_options = {
'issue': {
'short': 'Enter the Issue Number you want to download ',
'long': 'For example, 2403'
'long': 'For example, 2403',
}
}
def parse_index(self):
d = self.recipe_specific_options.get('issue')
if not (d and isinstance(d, str)):
soup = self.index_to_soup(f'{self.base_url}/magazine')
a = soup.find('a', href=lambda x: x and x.startswith('/archive-toc/'))
cov_url = a.find('img', attrs={'src': True})['src']
self.cover_url = urljoin(self.base_url, cov_url)
issue_url = urljoin(self.base_url, a['href'])
issue_url = f'{self.base_url}/magazine'
else:
issue_url = 'https://hbr.org/archive-toc/BR' + d
mobj = re.search(r'archive-toc/(?P<issue>(BR)?\d+)\b', issue_url)
if mobj:
self.cover_url = f'https://hbr.org/resources/images/covers/{mobj.group("issue")}_500.png'
self.log('Downloading issue:', issue_url)
issue_url = self.base_url + '/archive-toc/BR' + d
soup = self.index_to_soup(issue_url)
issue_title = soup.find('h1')
if issue_title:
self.timefmt = f' [{self.tag_to_string(issue_title)}]'
div = soup.find(**classes('backdrop-lightest'))
a = div.find('a', href=lambda x: x and x.startswith('/archive-toc/'))
index = absurl(a['href'])
self.timefmt = ' [' + self.tag_to_string(div.find('h2')) + ']'
self.log('Downloading issue: ', index, self.timefmt)
cov_url = a.find('img', src=True)
if cov_url:
self.cover_url = absurl(cov_url['src'])
soup = self.index_to_soup(index)
feeds = OrderedDict()
for h3 in soup.find_all('h3', attrs={'class': 'hed'}):
article_link_ele = h3.find('a')
if not article_link_ele:
continue
article_ele = h3.find_next_sibling(
'div', attrs={'class': 'stream-item-info'}
)
if not article_ele:
continue
title = self.tag_to_string(article_link_ele)
url = urljoin(self.base_url, article_link_ele['href'])
authors_ele = article_ele.select('ul.byline li')
authors = ', '.join([self.tag_to_string(a) for a in authors_ele])
article_desc = ''
dek_ele = h3.find_next_sibling('div', attrs={'class': 'dek'})
if dek_ele:
article_desc = self.tag_to_string(dek_ele) + ' | ' + authors
section_ele = (
for h3 in soup.findAll('h3', attrs={'class': 'hed'}):
articles = []
a = h3.find('a')
title = self.tag_to_string(a)
url = absurl(a['href'])
auth = ''
div = h3.find_next_sibling('div', attrs={'class': 'stream-item-info'})
if div:
aut = self.tag_to_string(div).replace('Magazine Article ', '')
auth = re.sub(r'(?<=\w)([A-Z])', r', \1', aut)
des = ''
dek = h3.find_next_sibling('div', attrs={'class': 'dek'})
if dek:
des = self.tag_to_string(dek)
desc = des + ' |' + auth.title()
section_title = 'Articles'
sec = (
h3.findParent('li')
.find_previous_sibling('div', **classes('stream-section-label'))
.find('h4')
)
section_title = self.tag_to_string(section_ele).title()
feeds.setdefault(section_title, []).append(
{'title': title, 'url': url, 'description': article_desc}
)
return feeds.items()
if sec:
section_title = self.tag_to_string(sec).title()
self.log(section_title, '\n\t', title, '\n\t', desc, '\n\t\t', url)
articles.append({'title': title, 'url': url, 'description': desc})
if articles:
if section_title not in feeds:
feeds[section_title] = []
feeds[section_title] += articles
ans = [(key, val) for key, val in feeds.items()]
return ans
def preprocess_html(self, soup):
for slug in soup.findAll(**classes('slug-content')):
del slug['href']
for dek in soup.findAll(**classes('article-byline')):
for by in dek.findAll('span', attrs={'class': 'by-prefix'}):
by.extract()
for li in dek.findAll('li'):
li.name = 'span'
for div in soup.findAll(
'div', attrs={'class': ['article-summary', 'article-callout']}
):
div.name = 'blockquote'
for sidebar in soup.findAll(('article-sidebar', 'article-ideainbrief')):
sidebar.name = 'blockquote'
for img in soup.findAll(attrs={'srcset': True}):
split = img['srcset'].split(',')
for x in split:
if '700w' in x:
img['src'] = absurl(x.split()[0])
del img['srcset']
return soup
# HBR changes the content it delivers based on cookies, so the
# following ensures that we send no cookies
def get_browser(self, *args, **kwargs):
return self
def clone_browser(self, *args, **kwargs):
return self.get_browser()
def open_novisit(self, *args, **kwargs):
br = browser()
return br.open_novisit(*args, **kwargs)
open = open_novisit