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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11You can fetch a public page and extract a piece of its HTML with Python’s standard library: request the page with urllib.request, decode the response bytes, and parse the HTML with html.parser. The example below is a small starting point, not a timed test or a crawler; it assumes the page returns the element you want in its HTML.
What this example does
A web scraper retrieves a page and extracts information from its markup. Python’s urllib package includes modules for opening URLs, handling errors, parsing URL components, and parsing robots.txt files. This example uses only the standard library, so it does not require a third-party package.
It downloads one page, looks for its first <title> element, and prints the title text. Change the URL to a page you are permitted to access. The script will only find a title if one is present in the HTML returned by the server.
Fetch a page and extract its title
Save this as scrape_title.py and run it with Python:
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from html.parser import HTMLParser
from urllib.request import urlopen
class TitleParser(HTMLParser):
def __init__(self):
super().__init__()
self.in_title = False
self.title_parts = []
def handle_starttag(self, tag, attrs):
if tag.lower() == "title":
self.in_title = True
def handle_endtag(self, tag):
if tag.lower() == "title":
self.in_title = False
def handle_data(self, data):
if self.in_title:
self.title_parts.append(data)
url = "https://www.python.org/"
with urlopen(url) as response:
html_bytes = response.read()
# This example uses UTF-8, which the Python.org page declares.
html = html_bytes.decode("utf-8")
parser = TitleParser()
parser.feed(html)
title = " ".join(" ".join(parser.title_parts).split())
if title:
print(title)
else:
print("No title element found in the returned HTML.")What each part does
urlopen(url)opens the URL. Thewithblock closes the response when reading is finished.response.read()returns bytes, not text. The example decodes those bytes using UTF-8 because Python.org declares that encoding; UTF-8 should not be assumed for every response.TitleParsercollects text encountered inside a<title>element. The final expression joins the pieces and collapses whitespace.- The conditional prints a useful message if no title was found instead of printing an empty string.
Handle encoding and fetch failures deliberately
Python’s documentation notes that urlopen() returns bytes and that the encoding generally cannot be determined automatically from the byte stream alone. Use an encoding appropriate to the response rather than treating a successful download as proof that decoding is correct. If you choose the wrong encoding, the script may display corrupted text or raise a decoding error.
Network requests can fail, and a page can change or omit the element you expect. For a script you intend to reuse, handle expected URL and network errors from urllib.error, and decide how to report decoding or parsing problems. A timeout is also a practical concern, but there is no single timeout or retry policy established here for every site; choose settings appropriate to your use and avoid blindly repeating failed requests.
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Check a site’s crawling rules before collecting pages
For a one-page experiment, use a URL you are allowed to access. Before adapting the script to crawl a site, read the site’s robots.txt rules. Python’s urllib.robotparser.RobotFileParser.can_fetch(useragent, url) can check whether a URL is allowed under the rules it parsed. That check is a helper for interpreting the file, not blanket permission to collect content or a replacement for applicable site terms or law. Python’s documentation points to RFC 9309 for the robots.txt protocol; consult documentation for your installed Python release because that linked page is prerelease documentation.
Adapt the script without turning it into an uncontrolled crawler
Extract a different element
Change the parser callbacks to collect the tag or attribute you need, and verify that the target exists in the downloaded HTML. A successful HTTP response only confirms that a response was received; it does not guarantee that the desired content is present or that the page structure will remain unchanged.
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Resolve links relative to the page
When extracted links are relative paths rather than full URLs, urllib.parse can split and recombine URLs and resolve a relative URL against a base URL. Treat each discovered link as input to validate before requesting it.
Keep collection small and controlled
Limit early scripts to one page or a small, manually controlled set. If collection needs to happen repeatedly or at scale, add deliberate error handling, inspect the site’s rules and terms, and design request behavior for that site rather than looping over links indiscriminately. This example does not establish a recommended request rate.
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When you may need a different tool
The standard-library approach keeps the example self-contained, but it is intentionally minimal. Python’s documentation describes Requests as a higher-level HTTP client interface. That is a convenience option for HTTP handling, not evidence that it is required for this task or that it parses HTML for you. This example uses Python’s built-in html.parser and does not establish whether a particular page requires a JavaScript-capable browser; first check whether the content you need appears in the HTML returned by the server.
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Further reading
- Python 3.14.8: urllib — URL handling modules
- Python 3.13.16: urllib.request — Extensible library for opening URLs
- Python 3.14.7: urllib.parse — Parse URLs into components
- Python 3.16.0a0 prerelease: urllib.robotparser — Parser for robots.txt
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