Real Estate Web Scraping Script
Budget: ₹600 – ₹1,500 INR
I’m looking for a straightforward Python-based scraper that pulls text data from a short list of real-estate websites I’ll share.
Scope is intentionally lean—no images, advanced analytics, or large-scale crawling required. A single script that can be run locally is ideal. BeautifulSoup with requests is perfectly fine, though I’m open to Scrapy or a similar lightweight tool if you prefer.
Key points:
• Handle basic pagination where it exists.
• Respect robots.txt and add a modest delay between requests to avoid being blocked.
• Output clean CSV or JSON; keep the column order consistent.
• Include clear in-code comments plus a short README so I can adjust the URL list myself later.
Deliverables:
1. The working .py file.
2. README with setup and run instructions.
3. All the scraped listings based on the shared criteria
This is a quick project aimed at a clean, dependable script rather than a fully featured crawler, so please keep solutions simple and resource-friendly.
Scope is intentionally lean—no images, advanced analytics, or large-scale crawling required. A single script that can be run locally is ideal. BeautifulSoup with requests is perfectly fine, though I’m open to Scrapy or a similar lightweight tool if you prefer.
Key points:
• Handle basic pagination where it exists.
• Respect robots.txt and add a modest delay between requests to avoid being blocked.
• Output clean CSV or JSON; keep the column order consistent.
• Include clear in-code comments plus a short README so I can adjust the URL list myself later.
Deliverables:
1. The working .py file.
2. README with setup and run instructions.
3. All the scraped listings based on the shared criteria
This is a quick project aimed at a clean, dependable script rather than a fully featured crawler, so please keep solutions simple and resource-friendly.
Related categories:
JavaScript
Python
Data Processing
Web Scraping
Software Architecture
JSON
Scrapy
Data Extraction
BeautifulSoup
Automation