Required stack
필요 기술
PythonJavaScriptNode.jsWeb ScrapingScrapyBeautifulSoupSeleniumData MiningPuppeteerPlaywright
Project brief
프로젝트 내용
I need a clean, one-time extraction of every registered agent listed on the Kerala RERA portal. The scope is limited to the publicly displayed agent name plus all available contact details—phone numbers, email addresses, and office addresses. No licence-status fields or property listings are required.
Any stack is fine—Python (BeautifulSoup, Scrapy, Selenium), Node.js, or a headless browser workflow—as long as it handles pagination, hidden rows, or JavaScript-rendered tables and respects polite scraping practices.
Deliverables
• An Excel workbook (.xlsx) containing one row per agent and clearly labelled columns for Name, Phone, Email, and Address
• Data fully deduplicated, UTF-8 compliant, and free of blank placeholders
• A short note on the approach and any site-specific constraints discovered during the scrape
With those items in hand I can take it from there, so accuracy and tidy formatting are the priorities. Let me know your turnaround time and any questions you may have.
Any stack is fine—Python (BeautifulSoup, Scrapy, Selenium), Node.js, or a headless browser workflow—as long as it handles pagination, hidden rows, or JavaScript-rendered tables and respects polite scraping practices.
Deliverables
• An Excel workbook (.xlsx) containing one row per agent and clearly labelled columns for Name, Phone, Email, and Address
• Data fully deduplicated, UTF-8 compliant, and free of blank placeholders
• A short note on the approach and any site-specific constraints discovered during the scrape
With those items in hand I can take it from there, so accuracy and tidy formatting are the priorities. Let me know your turnaround time and any questions you may have.