Real Estate & Classifieds Scraping

We develop high-performance scraping solutions to extract listings, pricing, seller information, and property metadata from real estate portals and classifieds platforms—helping you automate operations, enrich databases, and gain market insights in real time.

We develop high-performance scraping solutions to extract listings, pricing, seller information, and property metadata from real estate portals and classifieds platforms—helping you automate operations, enrich databases, and gain market insights in real time.

Success Stories

We’ve helped real estate agencies automate lead collection across property platforms, enabled SaaS providers to track listings and price changes daily, and supported data platforms in building region-specific real estate intelligence.

Real Estate Agents Scraper

We implemented a smart algorithm with a multi-level crawler to make sure that all the real estate agents are being found. We scraped multiple websites to gather an extensive amount of data and used proxies to prevent blocking and other issues.

Google Trends Scraper

We devised a multiple-layer strategy to improve the scaling of the scraper and resolve the blocking issue. The scraper was integrated with multiple API providers (including our customized API written in Playwright), to provide a strong backup for retrieving the information.

Wikipedia Scraping (Mayors of Canada)

Our client, minervaai.io/, needed to get the official financial records and other details of Canadian mayors. They were finding it hard to continuously keep up with this information. Data Prism was tasked to devise a smart technique that could check the current mayor of all the cities of Canada on an on-going basis

LinkedIn Scraper

We used the proprietary algorithm of Data Prism to scrape the required data from LinkedIn. It involved the use of certain filters to find the companies/brands that fulfill the criteria. Once we have these results, the scraper would find the relevant employees to gather their details.

Industries We Have Served

We design and deploy targeted scrapers that extract relevant data from property and classified platforms across global and local markets supporting businesses in:

Real Estate Marketplaces

Aggregate listings across cities, extract seller contacts, and sync real-time property data to fuel smarter search and lead-gen workflows.

Classifieds Aggregators

Scrape product and service listings (real estate, rentals, jobs, etc.) from multiple sources and normalize them for searchable databases.

Real Estate Agencies & Developers

Track competing listings, market trends, and pricing patterns to refine strategy, improve offerings, and generate warm leads.

Investment & Property Analytics Firms

Collect historical and live real estate data to fuel dashboards, predictive models, and region-specific reports.

Lead Generation Platforms

Use scraped data from classified sites and property portals to enrich CRM systems, automate outbound campaigns, and expand targeting.

Development Process

Our crawler development is built on precision and performance. We ensure your real estate and classifieds data pipelines are accurate, robust, and future-proof, even on high-security or JavaScript-heavy platforms.

Requirement Analysis & Target Mapping
We work with you to define the structure, frequency, fields, and volume of data needed from each target website or region.
Crawler Development & Anti-Block Strategies
We use headless browsers, rotating proxies, CAPTCHA bypassing, and dynamic content parsing to ensure uninterrupted, compliant scraping.
Data Normalization & Delivery
We structure the data to match your schema—handling inconsistent fields, languages, formats, and timestamps—and deliver via API, CSV, JSON, or direct database sync.

Technologies We Use for Web Scraping

Programming Languages

Node js

Node Js

Paython

Python

JavaScript

Bash

Frameworks & Libraries

Scrapy

Selenium

Selenium

Pandas

Pandas

Requests

Requests

Playwright

Puppeteer

Cheerio.js

bs4

BS4

Databases

MySQL

MySQL

SQL Server

SQL Server

PostgreSQL

MongoDB

SQLite

Cloud Deployments

AWS Lambda

Azure Functions

GCP

Heroku

Task Scheduling

AWS Lambda

Headless Browsers

Selenium WebDriver

Playwright

Puppeteer

Proxy & Anti-bot Solutions

Bright Data

Zyte

ScraperAPI

Oxylabs

CapSolver / 2Captcha / Anti-Captcha

Scraping-as-a-Service Tools

ZenRows

zyte

Apify

ScrapingBee

Data Storage Formats

ZenRows

JSON

XML

Google sheets

Technologies We Use for Web Scraping

Programming Language
Node js

Node Js

Paython

Python

JavaScript

Bash

Frameworks & Libraries

Scrapy

Selenium

Selenium

Playwright

Pandas

Pandas

Cheerio.js

Requests

Requests

Puppeteer

bs4

BS4

Headless Browsers

Selenium WebDriver

Playwright

Puppeteer

Proxy & Anti-bot Solutions

Bright Data

Zyte

ScraperAPI

Oxylabs

CapSolver / 2Captcha / Anti-Captcha

Scraping-as-a-Service Tools

ZenRows

zyte

Apify

ScrapingBee

Databases
MySQL

MySQL

SQL Server

SQL Server

PostgreSQL

MongoDB

SQLite

Data Storage Formats

ZenRows

JSON

XML

Google sheets

Cloud Deployments

AWS Lambda

Azure Functions

GCP

Heroku

Task Scheduling

AWS Lambda

Our Clients

From global real estate platforms and classifieds aggregators to data-driven SaaS companies and investment firms, our clients trust us to deliver timely, clean, and actionable real estate data that fuels growth, automation, and customer intelligence.

First List logo

Our Clients

From eCommerce brands and logistics providers to fintech startups and data-first SaaS platforms, we help companies around the world make smarter, faster, and more informed decisions through reliable data infrastructure.

First List logo

Success Stories

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Technology Stack

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