To scrape articles responsibly, first look for an official API, RSS feed, sitemap, or permission process. Then define a small scope, check the site’s terms and robots.txt, fetch pages slowly, parse the returned HTML, validate the fields you extracted, and keep collection separate from publishing or redistribution. Publicly visible text is not automatically free to copy or republish.
This guide shows a complete Python workflow for known article URLs, explains when to use Scrapy for a bounded crawl, and covers JavaScript-rendered pages, failures, privacy, copyright, and operational safeguards.
1. Define exactly what you need
A scraper is easier to control when its scope is written down before the first request. Record:
- The target host and permitted URL pattern, such as
https://example.com/news/. - The fields required: title, author, publication date, article body, canonical URL, and perhaps section or tags.
- The number of pages and how discovery stops. A list of 20 supplied URLs is safer than an unrestricted site crawl.
- Your purpose, storage location, retention period, and who will receive the output.
- Whether you need article text at all, or only metadata, links, and factual values.
“Scraping” usually means collecting data from a page; “crawling” describes following links to discover more pages. A project can scrape a few known URLs without crawling, or combine bounded crawling with extraction.
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2. Check for an authorized data source first
Before writing selectors, look for a documented API, RSS or Atom feed, sitemap, downloadable dataset, licensing page, or a publisher contact for research access. The Carpentries web-scraping lesson recommends checking whether structured access exists and asking the organization when appropriate.
An API or feed is generally more stable than parsing presentation HTML. It may also specify fields, limits, authentication, and permitted uses. If an official route supplies the same information, prefer it over automated page collection.
3. Review terms, privacy rules, and robots.txt
Terms and intended use
Read the target site’s terms of service and privacy policy. They may restrict automated collection, bulk downloading, commercial use, or redistribution. Collection, analysis, storage, and republication are separate actions: permission to view a page does not necessarily authorize all four.
Reuters Connect’s terms updated September 2024, for example, prohibit scraping and automated collection of platform content without prior written consent and require compliance with exclusionary protocols. Treat this as an example of why each target’s live terms must be checked, not as a universal rule for every site.
Inspect the correct robots.txt
Request the root-level file for the same host, protocol, and port, such as https://example.com/robots.txt. Google explains in its robots.txt specification that a file applies only to that origin; a file on blog.example.com does not automatically govern www.example.com.
Match the rules to your user-agent and the paths you plan to request. Robots.txt is an exclusion signal for crawlers, not a blanket license or a complete statement of copyright and contract rights. Review terms and obtain authorization independently. If the site signals that automated requests are unwanted, stop and use an authorized route.
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4. Install a small, auditable Python scraper
Prerequisites
Use Python 3, then install the HTTP client and parser:
python -m pip install requests beautifulsoup4 lxmlThe following script handles a supplied list of article URLs, identifies common metadata, extracts paragraph text, uses a descriptive user-agent, applies a delay, and writes JSON. It does not discover links, bypass access controls, or retry indefinitely.
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import time
from datetime import datetime, timezone
from urllib.parse import urlparse
import requests
from bs4 import BeautifulSoup
URLS = [
"https://example.com/article-one",
"https://example.com/article-two",
]
HEADERS = {
"User-Agent": "ResearchArticleCollector/1.0 (contact: data@example.org)",
"Accept": "text/html,application/xhtml+xml",
}
def meta(soup, *names):
for name in names:
tag = soup.find("meta", attrs={"name": name}) or soup.find(
"meta", attrs={"property": name}
)
if tag and tag.get("content"):
return tag["content"].strip()
return None
def extract_article(url, session):
response = session.get(url, headers=HEADERS, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, "lxml")
title_tag = soup.find("h1") or soup.find("title")
title = title_tag.get_text(" ", strip=True) if title_tag else None
body = soup.select_one("article")
if body is None:
body = soup.select_one("main")
paragraphs = body.select("p") if body else soup.find_all("p")
text = "nn".join(
p.get_text(" ", strip=True) for p in paragraphs
if p.get_text(" ", strip=True)
)
return {
"url": response.url,
"host": urlparse(response.url).netloc,
"title": title,
"author": meta(soup, "author", "article:author"),
"published": meta(
soup, "article:published_time", "date", "pubdate"
),
"text": text,
"retrieved_at": datetime.now(timezone.utc).isoformat(),
}
def main():
records = []
with requests.Session() as session:
for index, url in enumerate(URLS):
try:
records.append(extract_article(url, session))
except requests.RequestException as exc:
records.append({"url": url, "error": str(exc)})
if index < len(URLS) - 1:
time.sleep(2) # choose a rate the site can reasonably tolerate
with open("articles.json", "w", encoding="utf-8") as output:
json.dump(records, output, ensure_ascii=False, indent=2)
if __name__ == "__main__":
main()Replace the sample URLs, user-agent contact address, and selectors with values appropriate to the authorized site. Do not assume that every page uses an article element. Inspect a few returned documents and adjust selectors deliberately.
What the parser is doing
raise_for_status()turns HTTP 4xx and 5xx responses into explicit errors instead of silently saving an error page.- Metadata is read from common
metanames, while the title falls back fromh1totitle. - The body selector prefers
article, thenmain, and finally all paragraphs. That fallback is convenient but can include navigation or related links, so validate it. - The final record preserves the resolved URL and retrieval timestamp, which helps audit redirects and changes.
5. Validate before collecting more
Run the script against a small sample and compare each record with the rendered page. Check that:
- The title is the article title, not the site name.
- The author and date come from the article, not a sidebar or modified-date widget.
- The text excludes navigation, comments, cookie notices, newsletter forms, and “related stories.”
- Paragraph order, Unicode characters, links, and headings are retained as your downstream task requires.
- Pages with templates, paywalls, language variants, or corrections are represented accurately.
Layouts change. Keep a fixture of a few permitted pages and rerun extraction tests after selector changes. Log URL, status code, elapsed time, and parser warnings, but avoid logging personal data unnecessarily.
6. When a bounded crawl is justified: Scrapy
For many authorized article URLs, Scrapy provides scheduling, duplicate filtering, item pipelines, and throttling. Its downloader middleware documentation states that RobotsTxtMiddleware filters requests forbidden by the robots.txt exclusion standard.
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Enable compliance in the project settings:
ROBOTSTXT_OBEY = True
USER_AGENT = "ResearchArticleCollector/1.0 (contact: data@example.org)"
DOWNLOAD_DELAY = 2
AUTOTHROTTLE_ENABLED = True
AUTOTHROTTLE_START_DELAY = 2
CONCURRENT_REQUESTS_PER_DOMAIN = 1Write an allowlisted spider that starts from known article URLs or a documented section, accepts only the target host and path, and stops after the required depth or item count. Do not turn a content extraction task into an unrestricted site crawl. Keep the crawl bounded even when robots.txt permits more paths.
7. Handle pages whose HTML lacks the article
Confirm the problem
Save the raw response and search it for a distinctive headline or paragraph. If the text is absent, the page may render it with JavaScript, require a session, show a consent gate, or return a bot-check page. Do not immediately add browser automation or attempt to defeat a challenge.
Preferred order of solutions
- Use the publisher’s API, feed, sitemap, export, or permissioned endpoint.
- Ask the publisher for authorized access or a research data extract.
- If browser rendering is explicitly allowed, use a normal browser session with conservative limits and no challenge bypass.
- Record that the content was unavailable rather than fabricating an incomplete article.
Browser automation adds JavaScript execution, cookies, memory use, and more failure modes. It is not automatically required just because a page is dynamic.
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It is not a replacement for permission to collect or republish article text. Use it when a screenshot or rendered-page artifact is an authorized part of your project, and still review the target’s rules.
See the ScreenshotNeo documentation for all options. A minimal call is:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpEquivalent Python:
import requests
r = requests.get(
"https://api.screenshotneo.com/v1/shot",
params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"},
timeout=90,
)
open("shot.webp", "wb").write(r.content)Equivalent Node.js:
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);For article capture, relevant options include full-page screenshots with lazy images loaded, a CSS-selector element capture, custom JavaScript or CSS, waiting for a selector, delay, or network idle, custom cookies and headers, timezone and geolocation, ad or tracker blocking, image resizing, a chosen viewport or device preset, dark mode, and PDF page ranges. Async jobs with signed webhooks, bulk capture of up to 100 URLs per call, caching with a chosen TTL, signed public-image links, and a usage API are available when your authorized workload needs them. An MCP server exposes take_screenshot, get_page_info, and capture_pdf to Claude, Cursor, and other MCP clients.
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- Identify your crawler where appropriate and provide a monitored contact address.
- Use a modest per-domain rate, delays, connection timeouts, and a small concurrency. Collect during off-peak hours when practical; the GSA guidance published July 7, 2021 emphasizes transparency and minimizing impact.
- Cache responses and avoid requesting the same URL repeatedly. Honor clear stop signals, server errors, and rate-limit responses.
- Do not bypass logins, paywalls, CAPTCHAs, access controls, or technical restrictions.
- Minimize personal data. Define retention, access controls, deletion procedures, and whether downstream users may receive raw text.
- Keep provenance: source URL, retrieval time, parser version, and any transformations.
10. Separate extraction from reuse
Copyright, privacy law, contract terms, database rights, access restrictions, and jurisdiction can all affect what you may do with collected material. Facts and short metadata may present different issues from storing expressive article prose. Republishing an entire article, training a product on it, or selling a dataset deserves a separate permission analysis.
The University of Michigan’s copyright guide discusses these distinctions. For substantial academic or commercial work, consult qualified legal or institutional counsel rather than assuming that “public” means unrestricted. The Carpentries summarizes the practical precaution this way: “To avoid legal or ethical issues, it’s essential to check both the TOS and the site’s robots.txt file before scraping.”
11. Troubleshooting
403 or 429 responses
Cause: the server rejects the request, detects automation, or rate-limits you. Fix: stop, read the site’s rules, reduce request frequency, identify yourself, and seek an API or permissioned route. Do not rotate identities to evade a block.
200 response but no article text
Cause: JavaScript rendering, a consent wall, login requirement, or a bot-check document. Fix: inspect the saved HTML, verify an official route, and use authorized rendering only if the publisher permits it.
Selector returns menus and footers
Cause: the selector is too broad or the template changed. Fix: inspect the DOM, target a stable article container, exclude known classes, and validate against multiple pages.
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Dates or authors are missing
Cause: values may be in JSON-LD, visible labels, or a different meta property. Fix: inspect the page source and add a documented fallback; preserve null when the field is not present rather than guessing.
Timeouts and incomplete records
Cause: slow servers, oversized media, transient failures, or network idle that never occurs. Fix: use finite connect/read timeouts, bounded retries for transient errors, smaller scopes, and a queue of failed URLs for manual review. Never retry a forbidden request indefinitely.
12. A practical decision checklist
- Is there an API, feed, sitemap, export, or permission process?
- Have you read the current terms and privacy policy?
- Did you check the correct host’s robots.txt for your user-agent and paths?
- Is the URL set, field list, rate, and retention period bounded?
- Did a small sample produce correct titles, dates, authors, and body text?
- Are JavaScript rendering, cookies, or screenshots actually authorized and necessary?
- Can you explain how the collected data will be stored, protected, and reused?
- Do your logs and error handling let you stop quickly when the site objects?
Frequently Asked Questions
Does robots.txt make scraping legal?
No. It is a host- and protocol-specific crawler instruction. Terms, authorization, copyright, privacy, access controls, and local law must be assessed separately.
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Should I scrape the rendered page or the raw HTML?
Use raw HTML when it contains the needed fields. If content is absent, check an official structured source first; use authorized browser rendering only when necessary and permitted.
How can I avoid collecting more personal data than needed?
Limit fields and URLs, redact or omit identifiers, restrict access, set a retention period, and avoid redistributing raw article text unless your permission and legal analysis cover it.
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