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Web Scraping and SQL Integration for Real Estate

Services Covered:

Web Scraping Services • Custom Software Development
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Industry
Industry

Real Estate

Duration
Duration

1 month

Budget
Budget

10K - 49K

Client Size
Start Date

1 March 2025

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable DATAFOREST is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

FastFacility

mapJericho, United States of America

Project Summary

DATAFOREST developed a web scraping solution for a real estate company to extract property data and upload it to an SQL database. The solution included a core scraping setup for a single site with quarterly data updates. The vendor delivered quality work on time and maintained effective, responsive communication throughout the engagement.

Key Challenges

  • Scraping the client's website
  • Geo-coding
  • Uploading data to an SQL database

Project Deliverables

  • Web scraping solution to extract real estate property data
  • SQL database upload for collected property data
  • Quarterly data updates
  • Core scraping setup for one site

Project Solution

Dataforest developed a web scraping system to extract real estate property data from the client's site and upload the results to an SQL database. The engagement included setting up the core scraping function for a single site, scheduling quarterly data updates, and working with the customer to define required data fields within two business days of project initiation. The team assigned was 2–5 employees.

Project Outcome

  • Timely, high-quality data outputs
  • Excellent communication and professional approach
  • Responsive support and quick reaction times

Platforms

  • WebWeb

Tech Stack

  • SQLSQL

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“DATAFOREST delivered quality work on time, meeting the client's expectations. The team communicated effectively, collaborating through virtual meetings and email. The team was responsive and provided excellent service. The team's professional approach was also outstanding.”

Shaun Donnelly

Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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