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Beautiful Soup turns HTML you already have into searchable Python objects; it does not download web pages. A basic scraper therefore needs two stages: fetch the page with an HTTP client such as Requests, then parse the returned HTML with Beautiful Soup. The example below checks the HTTP response, uses a timeout, and extracts links while safely handling missing attributes.
Install the packages
Install Beautiful Soup 4 and Requests in the Python environment that will run your script:
python -m pip install beautifulsoup4 requestsThe package is named beautifulsoup4, but you import it from bs4. This guide uses Python’s built-in html.parser, so it does not require a separate parser package. If you choose lxml or html5lib instead, install that parser in the same environment.
Fetch a page and extract its links
Save this as scrape_links.py and run it with python scrape_links.py. Replace the example URL with a page you are allowed to access.
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import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
url = "https://example.com/"
try:
response = requests.get(
url,
timeout=(5, 30), # connect timeout, then read timeout, in seconds
headers={"User-Agent": "ExampleScraper/1.0"},
)
response.raise_for_status()
except requests.exceptions.Timeout:
raise SystemExit(f"The request to {url} timed out")
except requests.exceptions.RequestException as exc:
raise SystemExit(f"Could not fetch {url}: {exc}")
soup = BeautifulSoup(response.text, "html.parser")
for link in soup.find_all("a", href=True):
href = link.get("href")
text = link.get_text(" ", strip=True)
absolute_url = urljoin(response.url, href)
print(f"{text or '[no link text]'}: {absolute_url}")requests.get() retrieves the response; raise_for_status() raises an error for unsuccessful HTTP status codes instead of letting the script quietly parse an error page as if it were normal content. The tuple passed to timeout sets separate connection and response-read limits. Requests has no timeout by default, so set one for scripts that must not wait indefinitely. The HTML parser then builds a tree, and find_all("a", href=True) selects anchors with an href attribute. urljoin() turns relative links into absolute URLs using the final response URL.
Choose an extraction method
Use find() for one matching element
find() returns the first match, or None if no element matches. Check the result before reading its attributes:
title = soup.find("h1")
if title is None:
print("No h1 found")
else:
print(title.get_text(" ", strip=True))Use find_all() for multiple elements
find_all() returns all matching elements; it can return an empty list when there are no matches. It supports tag names and attribute filters:
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all_images = soup.find_all("img")
images_with_alt = soup.find_all("img", alt=True)
by_id = soup.find_all(id="main-content")Use tag.get("attribute") when the attribute may be absent. For instance, tag.get("href") returns None rather than raising an error if an anchor has no href.
Use CSS selectors when they describe the target more clearly
select() returns all matches for a CSS selector, and select_one() returns the first match or None. For example:
cards = soup.select("article.product-card")
first_card_title = soup.select_one("article.product-card h2")Beautiful Soup uses SoupSieve for many modern CSS selectors, but selector support can depend on the installed versions. If a selector behaves unexpectedly, verify the markup and the versions in your environment.
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Inspect the HTML before relying on a selector
A selector only works if the fetched response contains matching markup. Inspect a small portion of the returned page while developing:
print(response.status_code)
print(response.url)
print(response.text[:2000])Look for stable tags and attributes rather than relying on text or deeply nested structure that may change. Test the extraction against several expected and missing cases; a scraper should handle absent elements deliberately rather than assuming every page has the same layout.
Select a parser deliberately
Beautiful Soup can build its tree with html.parser, lxml, or html5lib. The built-in parser needs no extra installation. The Beautiful Soup documentation describes lxml as faster and html5lib as parsing like a browser; malformed markup can produce different trees with different parsers. For repeatable results, specify the parser by name and make sure its dependency is installed. If raw parsing speed is the main concern, the documentation recommends using lxml directly rather than Beautiful Soup’s navigation layer.
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Understand what a scraper can see
Requests receives the server response; Beautiful Soup parses that response. If a site fills the content only after JavaScript runs in a browser, that content may not appear in the HTML returned to Requests. Check the response body first. If the data is absent, a different permitted approach may be needed; changing a selector cannot extract content that was never returned.
Common problems and fixes
find_all()returns an empty list: print the status code and a portion ofresponse.text, then confirm the current markup actually matches the tag, attribute, or CSS selector. The target content may not be in the server response.find()causes aNoneTypeerror: no match was found. Check forNonebefore accessing attributes or text.- The script hangs or waits too long: pass a timeout to the request. Requests does not set one automatically.
- The script parses an error page: call
raise_for_status()before parsing and handle the resulting Requests exception. - Results differ across machines: specify the parser and ensure the chosen parser is installed. Different parsers may build different trees from malformed HTML.
ModuleNotFoundError: No module named 'bs4': installbeautifulsoup4using the Python interpreter for the environment running the script, for examplepython -m pip install beautifulsoup4.
Scrape responsibly and keep the script maintainable
- Check the target site’s current terms and access guidance before collecting data; permission and rules can vary by site.
- Keep request volume modest, and stop if the site blocks access.
- Collect only the data you need, especially where pages contain personal information.
- Handle timeouts, HTTP errors, and missing fields explicitly so a failed request does not silently become bad data.
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For example, install Requests if needed, then make a single call:
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)
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Frequently Asked Questions
Does Beautiful Soup download a web page?
No. Use an HTTP client such as Requests to fetch the page, then pass its response body to Beautiful Soup.
Why does Beautiful Soup return an empty list?
The response may not contain the expected content, or the selector may not match the current markup. Inspect the returned HTML and check whether the target element is present.
How do I find all links with Beautiful Soup?
Use soup.find_all("a", href=True) to get anchors that have an href attribute.
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