Contact person: Real Estate Leads Scraper for my project Tru Aquapolis in Bangalore (Varthur-whitefeild main road)

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Location: Bengaluru, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"IWe are Tru Aquapolis, a modern real estate development focused on sustainable and smart living spaces. We are currently looking to connect with genuine potential customers interested in buying flats – and need a Data Scraper Specialist to help us generate high-quality buyer leads.

We are seeking a skilled freelancer to scrape relevant platforms and sources to extract data on individuals actively looking to purchase apartments or flats. The goal is to generate a verified, targeted lead database we can reach out to.

Target Customer Profiles:

Individuals or families searching for flats (3BHK and 4bhk)
People looking to invest in residential property
Users actively posting or engaging on real estate forums/websites
Verified users from property listing platforms
Data Sources May Include (But Not Limited To):
Real estate classified websites (99acres, Magicbricks, [login to view URL], OLX)
Property discussion forums (Quora, Reddit, local Facebook groups)
Public social media data (LinkedIn, Facebook Marketplace, etc.)
Public datasets or user activity where legally accessible
Required Output:
Name, phone number/email (if available), location of interest
Budget range, flat size preference (if available)
Source of data (platform/URL)
Leads should be fresh, active, and verified
Your Responsibilities:
Identify and validate sources for lead scraping
Create automated scraping tools/scripts or collect manually as needed
Deliver clean and well-organized lead lists
Ensure data privacy, legality, and ethics compliance
Required Skills:
Experience in scraping from real estate platforms
Strong Python knowledge (Scrapy, Selenium, etc.)
Familiarity with data cleaning, deduplication, and verification
Bonus: Experience in lead generation or real estate industry
Deliverables:
500+ high-quality leads (initial target, scalable later)
File format: CSV/Excel with clear fields (Name, Contact, Location, Budget, Source)
Documentation of scraping methodology (brief)
Timeline:
1–2 weeks for the first phase (with possibility of ongoing work)
How to Apply:

Please provide:

Previous lead generation or scraping work samples
Tools you plan to use
Estimated delivery time and cost per 100 leads

Let’s connect and help families find their dream home at Tru Aquapolis." (client-provided description)