Web Scraping & Data Analysis for AI Business Listing
Budget: $750 – $1,500 USD
Job Description:
We are seeking a skilled and experienced developer to build a comprehensive web scraping tool and data analysis system for extracting business listings from Google and identifying newly found businesses. This project involves automating web browsing, handling dynamic content and CAPTCHAs, cleaning and storing data, and developing algorithms for detecting new businesses using machine learning. The successful candidate will be provided with database and FTP access for seamless integration.
Responsibilities:
• Web Scraping Development:
• Develop web scraping scripts to extract business listings from Google.
• Implement browser automation using tools such as Selenium or Puppeteer.
• Handle dynamic content loading, pagination, and CAPTCHA challenges.
• Data Cleaning and Storage:
• Clean and structure the scraped data.
• Store data in the provided database system (SQL or NoSQL).
• Algorithm Development:
• Develop algorithms to identify newly found businesses from the scraped data.
• Implement machine learning models for predicting new business entries and detecting changes in existing listings.
• Continuously refine algorithms to improve accuracy and performance.
• Integration and Deployment:
• Integrate the scraping tool with the provided database and FTP servers.
• Ensure smooth data flow and synchronization between the scraping tool and the database.
• Notification and Reporting:
• Develop a notification system to alert users of newly identified businesses.
• Generate detailed reports summarizing new and changed business listings.
Requirements:
• Technical Skills:
• Proficiency in Python and web scraping libraries (Beautiful Soup, Scrapy, Selenium).
• Experience with browser automation and handling dynamic web content.
• Strong knowledge of data cleaning, storage, and comparison techniques.
• Familiarity with machine learning algorithms and models (e.g., Decision Trees, Random Forest, Neural Networks).
• Experience with SQL and NoSQL databases.
• Additional Skills:
• Ability to handle CAPTCHA challenges using services or manual intervention.
• Knowledge of data privacy and compliance regulations related to web scraping.
• Strong problem-solving skills and attention to detail.
• Excellent communication and documentation skills.
Preferred Qualifications:
• Experience with CAPTCHA-solving techniques.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment.
• Previous experience in developing similar web scraping and data analysis tools.
Deliverables:
• A fully functional web scraping tool that can extract business listings from Google.
• Cleaned and structured data stored in the provided database.
• Algorithms for identifying newly found businesses and detecting changes in existing listings.
• A notification system for alerting users of new businesses.
• Detailed reports summarizing the findings.
We are seeking a skilled and experienced developer to build a comprehensive web scraping tool and data analysis system for extracting business listings from Google and identifying newly found businesses. This project involves automating web browsing, handling dynamic content and CAPTCHAs, cleaning and storing data, and developing algorithms for detecting new businesses using machine learning. The successful candidate will be provided with database and FTP access for seamless integration.
Responsibilities:
• Web Scraping Development:
• Develop web scraping scripts to extract business listings from Google.
• Implement browser automation using tools such as Selenium or Puppeteer.
• Handle dynamic content loading, pagination, and CAPTCHA challenges.
• Data Cleaning and Storage:
• Clean and structure the scraped data.
• Store data in the provided database system (SQL or NoSQL).
• Algorithm Development:
• Develop algorithms to identify newly found businesses from the scraped data.
• Implement machine learning models for predicting new business entries and detecting changes in existing listings.
• Continuously refine algorithms to improve accuracy and performance.
• Integration and Deployment:
• Integrate the scraping tool with the provided database and FTP servers.
• Ensure smooth data flow and synchronization between the scraping tool and the database.
• Notification and Reporting:
• Develop a notification system to alert users of newly identified businesses.
• Generate detailed reports summarizing new and changed business listings.
Requirements:
• Technical Skills:
• Proficiency in Python and web scraping libraries (Beautiful Soup, Scrapy, Selenium).
• Experience with browser automation and handling dynamic web content.
• Strong knowledge of data cleaning, storage, and comparison techniques.
• Familiarity with machine learning algorithms and models (e.g., Decision Trees, Random Forest, Neural Networks).
• Experience with SQL and NoSQL databases.
• Additional Skills:
• Ability to handle CAPTCHA challenges using services or manual intervention.
• Knowledge of data privacy and compliance regulations related to web scraping.
• Strong problem-solving skills and attention to detail.
• Excellent communication and documentation skills.
Preferred Qualifications:
• Experience with CAPTCHA-solving techniques.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deployment.
• Previous experience in developing similar web scraping and data analysis tools.
Deliverables:
• A fully functional web scraping tool that can extract business listings from Google.
• Cleaned and structured data stored in the provided database.
• Algorithms for identifying newly found businesses and detecting changes in existing listings.
• A notification system for alerting users of new businesses.
• Detailed reports summarizing the findings.