In Nepal’s rapidly digitizing economy, publicly available data is scattered across job portals, marketplaces, news sites, and government pages, but rarely offered in clean, downloadable formats.
Web scraping allows beginners, students, and professionals in Nepal to extract structured data directly from websites for learning, research, price tracking, journalism, and analytics.
This beginner-focused guide explains common data scraping problems in Nepal and shows practical solutions using simple tools, real examples, and ethical considerations relevant to local websites.
#What Is Web Scraping? (Beginner Definition)
Web scraping is the process of programmatically extracting publicly available data from websites by requesting a webpage, reading its HTML structure, and collecting specific information such as text, prices, links, or dates.
In Nepal, web scraping is commonly used for job market analysis, price comparison, academic research, and monitoring public information published online.
#Choosing the Right Web Scraping Tools as a Beginner in Nepal
#Why Start Small?
Beginners in web scraping should start with static websites, pages where content is fully present in the HTML source. Complex sites with logins, popups, or JavaScript rendering often cause confusion and failed scrapes at the learning stage.
#Recommended Beginner Toolset (Python-Based)
Python is the most beginner-friendly language for web scraping due to its readable syntax and strong community support.
1. Requests fetch webpage content via HTTP
2. BeautifulSoup parses and navigates HTML structure
3. Pandas converts scraped data into tables for CSV or Excel
These libraries can be installed together using Python’s package manager:
pip install requests beautifulsoup4 pandas
#I Don’t Know How to Navigate the Website’s Structure
#How to Inspect HTML
When you open the Inspect Element window in your browser (right click - Inspect), you're looking at the DOM (Document Object Model), the structure of the webpage.
Tips
1. Use Ctrl+F to search for keywords (like "title", "price")
2. Look for patterns: Is every product in a <div class="product">? That's a clue you can loop over.
Example Walkthrough
Visit HamroBazar Electronics and look at how products are listed. They usually follow a consistent structure that you can use in your code.
#My Scraper Breaks or Returns Empty Results
#Understanding JavaScript Rendered Sites
If your scraper returns empty results despite the page displaying content in your browser, the website is likely using JavaScript to load data dynamically after the initial page load. In such cases, the HTML fetched by Requests does not include the actual data.
What to Use Instead
1. Selenium: Opens a real browser that loads everything (but slower)
2. Playwright or requests-html: Headless options that are faster and load JavaScript
Tip: Always Handle Errors
Use conditions to check if response.status_code == 200, and try/except blocks to catch errors. Also, use time.sleep(1-3 seconds) between requests to avoid being blocked or flagged as a bot.
#The Data is Messy and Hard to Work With
#Cleaning Techniques
1. Data scraped from the web usually contains:
2. Extra spaces
3. HTML tags or symbols
4. Strings that look like numbers (like prices with commas)
#Why Use Pandas
Pandas can turn messy lists into tables and easily export them to CSV or Excel.
import pandas as pd
data = [{'title': 'iPhone 12', 'price': 'Rs 85,000'}, ...]
df = pd.DataFrame(data)
df.to_csv('products.csv', index=False)
#Is This Legal or Ethical in Nepal?
#Legal/Ethical Landscape in Nepal
Nepal does not currently have explicit legislation that outright prohibits scraping publicly accessible data, but website Terms of Service and ethical data use still apply.
1. Always check robots.txt (example.com/robots.txt)
2. Never collect private or login protected info
3. Don’t spam or resell scraped data without permission
Use scraping for learning, journalism, research, or civic innovation.
#I Want to Automate or Schedule My Scraper
#Why Automate?
Once your script works well, you may want to run it:
1. Daily (to track product prices)
2. Weekly (to monitor job listings)
3. Monthly (to update research data)
#How to Schedule It
1. On Linux: Use crontab -e to schedule your script.
2. On Windows: Use Task Scheduler.
3. In Python: Use schedule or apscheduler for more control.
import schedule
def scrape():
print("Running job...")
# scraping code here
schedule.every().day.at("10:30").do(scrape)
while True:
schedule.run_pending()
#Bonus Resources (Free & Nepal-Friendly)
1. Kaggle: Datasets and Python practice
2. Real Python: BeautifulSoup tutorials
4. Try scraping paginated websites
5. Explore APIs (some sites provide better-structured data via APIs)
6. Learn database storage (e.g., MongoDB, SQLite)
7. Build a web dashboard to visualize scraped data
#Final Words of Encouragement
Web scraping is a foundational skill in data analysis, automation, and applied research. With consistent practice, beginners in Nepal can progress from simple data collection to analytics, dashboards, and machine learning projects built on real-world local data.
For beginners in Nepal, ethical web scraping means accessing only public data, respecting website rules, avoiding excessive requests, and using scraped information responsibly for learning, research, or analysis.
#FAQs
Can I scrape data from Nepali websites like HamroBazar or MeroJob?
Answer: If the data is in public view, scraping is technically permitted, provided there is no breach of the Terms of Service. Always check what the website's robots.txt file says, and steer clear of any login protected or personal data scraping. Though still debatable, ethical conduct in research, education, or nonprofit projects is safer and more accepted.
As a beginner, which website should I scrape in Nepal?
Answer: HamroBazar (product listings) or MeroJob (job postings) would be a good start. The sites have structured data and static markup, thus serving nicely as your grounds for an exercise.
Is an advanced knowledge of coding required for data scraping to commence?
Answer: Absolutely no! A simple structure with knowledge of Python and HTML would fit your initiation. The libraries' requests and BeautifulSoup make scraping simple for the freshmen.
Is the data I scrape usable in project work in colleges or universities within Nepal?
Answer: Yes. Students engage in scraping across the board for academic research, analysis, or capstone projects. Just remember to give the source credit and to avoid scraping any data related to sensitive or personal information.
So what if I want to scrape data behind login credentials or that involves CAPTCHA?
Answer: Don't! Scraping through a login, paywall, or CAPTCHA may violate the site's terms, and the act is unethical, if not illegal, especially when dealing with sensitive data.
How do I avoid getting blocked by the website?
Answer: Apply a gentle scraping protocol.
1. Delay between requests (time.sleep)
2 .Use headers mimicking a browser
3. Do not keep sending too many requests in a short time
4. Rotating user agents and IPs whenever required
Can I scrape in Nepal through mobile data or a local ISP?
Answer: Yes, but be careful. Doing this repeatedly can raise a flag on your IP. If you are scraping quite often, use a VPN or a proxy; alternatively, go for cloud solutions like Heroku or Replit for more stable runs.
What can I do with scraped data in Nepal?
Answer: Lots! Here are some ways to show it off:
1) Price comparison tools for electronics
2) Visuals relating to job trends from MeroJob
3) Property listing dashboard
4) News headline analysis relating to Nepal
5) Bots update in real time on Facebook/Telegram
