This repository contains various web scrapers designed for extracting structured data from different sources using Python and ScrapeOps.io.
Each scraper is built with efficiency in mind, ensuring optimal data retrieval while respecting website policies and ethical scraping practices.
Here's the technology stack and frameworks used in the scripts, along with their purposes:
Programming Language, Libraries & Frameworks:
- Python version 3.10+: Main language used for scripting and automation.
requests: Sends HTTP requests to fetch web pages.BeautifulSoup (bs4): Parses HTML and extracts structured data.ThreadPoolExecutor: Enables multithreading to scrape multiple pages simultaneously, improving speed.logging: Captures runtime logs, errors, and warnings for debugging and tracking script execution.- ScrapeOps Proxy API: Handles web scraping proxies and rotates IPs to avoid detection and blocking.
📖 If you would like to learn more about Web Scraping with Python, then be sure to check out The Python Web Scraping Playbook.
Below is a list of available scrapers:
| Target Company | URL |
|---|---|
| reddit.com | |
| Amazon | amazon.com |
| Walmart | walmart.com |
| eBay | ebay.com |
| Target | target.com |
| BestBuy | bestbuy.com |
| Nordstrom | nordstrom.com |
| Etsy | etsy.com |
| Target Company | URL |
|---|---|
| Zillow | zillow.com |
| Redfin | redfin.com |
| Immobilienscout24 | immobilienscout24.de |
| Airbnb | airbnb.com |
| Target Company | URL |
|---|---|
| TikTok | tiktok.com |
| pinterest.com | |
| Quora | quora.com |
| Target Company | URL |
|---|---|
| LinkedIn Profiles | linkedin.com |
| LinkedIn Jobs | linkedin.com/jobs |
| Indeed | indeed.com |
| Target Company | URL |
|---|---|
| TrustPilot | trustpilot.com |
| G2 | g2.com |
| Capterra | capterra.com |
| Yelp | yelp.com |
| Google Reviews | google.com/maps/reviews |
| Target Company | URL |
|---|---|
| SimilarWeb | similarweb.com |
| Google Play | play.google.com |
This repository is intended for educational purposes only. Web scraping should always be conducted responsibly and within legal boundaries.
Web scraping should be done ethically and legally. When you attemp to scrape any website, follow the guideline below as a best practice:
- Respect Robots.txt & Terms of Service: Always check a website's
robots.txtfile and adhere to their scraping policies. - Avoid Overloading Servers: Implement rate-limiting and avoid aggressive scraping that could impact website performance.
- No Personally Identifiable Information (PII): Do not collect or store sensitive user data.
- Use Data Responsibly: Do not repurpose entire datasets for commercial use without proper permissions.
- Comply with GDPR and Data Protection Laws: Ensure compliance when dealing with user data from different regions.
ScrapeOps take no responsibility for misuse of this code. By using this repository, you acknowledge these guidelines and accept responsibility for ethical web scraping practices.
If you have concerns or aren't sure whether it's legal to scrape the data you're after, consult an attorney. Attorneys are best equipped to give you legal advice on the data you're scraping.
This repository is provided as is with no official support. If you encounter bugs, please open an issue in the Issues tab.