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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.

Backlinko success story

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.

Redpoint Ventures success story

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.

Real Investment success story

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.

Minerva success story

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



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.

  1. 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.

  2. Crawler Development & Anti-Block Strategies

    We use headless browsers, rotating proxies, CAPTCHA bypassing, and dynamic content parsing to ensure uninterrupted, compliant scraping.

  3. 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

  • JavaScript
  • Node Js
  • Python
  • bs4
  • Cheerio
  • Pandas
  • playwright
  • Puppeteer
  • Requests
  • Scrapy
  • Selenium
  • MongoDB
  • MySQL
  • PostgreSQL
  • SQL Server
  • SQLite
  • CSV
  • Google sheet
  • XML
  • AWS Lambda
  • Azure Functions
  • GCP
  • Heroku
  • Playwright
  • Puppeteer
  • selenium
  • Bright Data
  • Capsolver / 2captcha / Anticaptcha
  • Oxylabs
  • ScraperAPI
  • Zyte
  • Apify
  • ZenRows
  • 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
  • Gung Ho Logo
  • Toast Logo
  • babr
  • Redpoint Logo
  • kaemark-logo
  • ap
  • battery-tender
  • stanley-venture-logo
  • m4m
  • loop
  • 3d-connect-logo
  • august-logo
  • calm-venture
  • Lovey Prints Logo

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