https://github.com/randika00/ism-web-automation-y23cp-web

Web scraping refers to the extraction of data from a website. Be it a spreadsheet or an API.
https://github.com/randika00/ism-web-automation-y23cp-web

2captcha-api beautifulsoup regex scrapy selenium spacy webdriver

Last synced: 17 days ago
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Web scraping refers to the extraction of data from a website. Be it a spreadsheet or an API.

• Host: GitHub
• URL: https://github.com/randika00/ism-web-automation-y23cp-web
• Owner: Randika00
• Created: 2024-09-25T16:27:21.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-10-18T16:03:59.000Z (18 days ago)
• Last Synced: 2024-10-20T00:44:38.742Z (17 days ago)
• Topics: 2captcha-api, beautifulsoup, regex, scrapy, selenium, spacy, webdriver
• Language: Python
• Homepage:
• Size: 1.43 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
##  Revolutionize Data Collection with Intelligent Automated Scraping & Advanced Web Solutions 🌐🚀

Unlock the power of data with my advanced web scraping techniques! I specialize in extracting and processing valuable information from diverse sources using a blend of cutting-edge technologies. 

Whether you're looking to gather insights from academic journals, dynamic websites, or complex documents, I ensure a seamless and efficient data collection process tailored to your specific needs. 

By combining automated web scraping with intelligent data processing, I deliver high-quality, structured data in formats that are easy to analyze, integrate, and utilize.

From navigating challenging CAPTCHA systems to bypassing anti-bot protections, my solutions are built to handle even the most complex websites and data sources. Whether you're conducting research, 

building a data-driven application, or automating routine data collection tasks, I can transform raw, unstructured data into organized, actionable insights. With technologies like BeautifulSoup, 

Selenium, SpaCy, and Scrapy API at the core of my process, I ensure that your data is collected and processed with precision. 

My services extend to creating pipelines that not only extract data but also clean, filter, and optimize it, ensuring it's in the most useful format for your needs. Whether you need data in CSV, 

Excel, XML, or JSON formats for API integrations, my solutions are adaptable to fit your workflow. No task is too big or too small — from one-off data scraping projects to ongoing data extraction 

services, I am here to make your data work for you.

Let me help you take control of your data, streamline your processes, and unlock new possibilities for research, business, and innovation with my automated web scraping expertise. Together, we can 

leverage the power of data to drive smarter decisions and foster growth.

Here’s a quick overview of capabilities:

            ○ Automated scraping from complex websites, ensuring reliable data extraction even with dynamic content or CAPTCHA challenges.

            ○ Tailored data processing pipelines to filter, clean, and organize information for maximum usability.

            ○ High scalability to handle everything from small tasks to large-scale, high-volume data scraping.

            ○ Rapid data delivery with results in multiple formats (CSV, Excel, JSON, XML) that are easy to analyze or integrate into other systems.

🛠️ Technologies Used: 

    ◉ Python with libraries such as:

            ⦿ BeautifulSoup: Parsing HTML and XML documents with ease.

            ⦿ Selenium: Automating web browser interactions for dynamic content.

            ⦿ SpaCy: Performing natural language processing and data analysis.

            ⦿ RegEx: Crafting powerful text searches and manipulations.

            

    ◉ Cloudflare & 2Captcha: Bypassing anti-bot measures for uninterrupted scraping.

    ◉ Scrapy API: Ensuring scalable and efficient scraping processes. 

    

📚 Data Sources:

    ● Journals, articles, websites, and various documents, ensuring comprehensive coverage of research needs.

📊 Output Formats:

            ⬤ CSV & Excel: User-friendly formats for easy analysis.

            ⬤ XML: Well-structured data for seamless system integration.

            ⬤ JSON: Ideal for API connections, making data easily accessible.

🔍 Key Features: 

            ⦾ Robust, automated data collection from complex websites.

            ⦾ Multi-language support to scrape data from websites in various languages.

            ⦾ Data deduplication and validation to ensure accuracy and eliminate redundancy.

            ⦾ Real-time data extraction for up-to-date information retrieval.

            ⦾ Error handling and retry mechanisms to manage scraping failures and improve reliability.

            ⦾ Scalable architecture for handling high-volume data requests efficiently.

            ⦾ Scheduled scraping for automated, periodic data extraction without manual intervention.

            ⦾ Data enrichment by combining scraped data with additional sources for deeper insights.

𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝒓𝒂𝒘 𝒅𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝒂𝒄𝒕𝒊𝒐𝒏𝒂𝒃𝒍𝒆 𝒊𝒏𝒔𝒊𝒈𝒉𝒕𝒔 𝒂𝒏𝒅 𝒆𝒍𝒆𝒗𝒂𝒕𝒆 𝒚𝒐𝒖𝒓 𝒓𝒆𝒔𝒆𝒂𝒓𝒄𝒉 𝒐𝒓 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒑𝒓𝒐𝒄𝒆𝒔𝒔𝒆𝒔 𝒘𝒊𝒕𝒉 𝒑𝒐𝒘𝒆𝒓𝒇𝒖𝒍 𝒘𝒆𝒃 𝒔𝒄𝒓𝒂𝒑𝒊𝒏𝒈 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔! 🚀