Web Scraping Services
We provide web scraping services that extract clean, reliable, and business-ready data for competitor tracking, product intelligence, market research, lead generation, and social sentiment analysis.
Web Scraping Services we Offer
Our custom web scraping solutions are designed to help you gather, structure, and use web data from any online source quickly and securely.
Web Crawler Development
Enhance business performance by unifying critical customer data from multiple systems into one seamless, actionable platform.
E-commerce & Marketplace Scraping
Gain a competitive edge by extracting real-time product, pricing, and review data from top online marketplaces.
Real Estate & Classifieds Scraping
Access up-to-date listings, pricing, and property data from real estate sites and classified platforms with precision.
Forum & Social Media Scraping
From messy HTML to clean JSON, CSV, or database rows — entity extraction, normalization, and validation built in.
News & Publications Scraping
From messy HTML to clean JSON, CSV, or database rows — entity extraction, normalization, and validation built in.
Anti-Bot Bypass & CAPTCHA Handling
From messy HTML to clean JSON, CSV, or database rows — entity extraction, normalization, and validation built in.
Structured Data Extraction
From messy HTML to clean JSON, CSV, or database rows — entity extraction, normalization, and validation built in.
Technologies We Use for Data Solutions
- bash
- JavaScript
- Node Js
- Python
- bs4
- Cheerio
- Pandas
- playwright
- Puppeteer
- Requests
- Scrapy
- Selenium
- MongoDB
- MySQL
- PostgreSQL
- SQL Server
- SQLite
- Google Sheets
- JSON
- XML
- ZenRows
- AWS Lambda
- Azure Functions
- GCP
- Heroku
- Playwright
- Puppeteer
- selenium
- Bright Data
- Capsolver / 2captcha / Anticaptcha
- Oxylabs
- ScraperAPI
- Zyte
- Apify
- ScrapingBee
- ZenRows
- Zyte
- AWS Lambda
Programming Languages
- bash
- JavaScript
- Node Js
- Python
Web Scraping Process
We follow a meticulous process to deliver reliable, high-volume scraping with clean, ready-to-use data.
Requirement Gathering
We inspect the target websites’ structure, HTML layout, dynamic elements, and anti-bot mechanisms to determine the best scraping strategy and toolset.
Target Site Analysis
We inspect the target websites’ structure, HTML layout, dynamic elements, and anti-bot mechanisms to determine the best scraping strategy and toolset.
Script Development
Our developers build efficient, scalable scraping scripts tailored to your targets—handling pagination, dynamic content, user agents, and headers for smooth access.
Data Cleaning & Formatting
Raw data is normalized, de-duplicated, and formatted into structured outputs like JSON, CSV, or databases ensuring you get clean, usable insights instantly.
Automation & Delivery
We automate the scraping pipeline on a set schedule and deliver the output via APIs, cloud storage, or custom dashboards ready for integration into your systems.
Success Stories
We’ve helped e-commerce firms track global pricing trends, real estate agencies generate leads from multiple platforms, and SaaS startups monitor competitors in real time. Let’s build your data advantage next.
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.
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.
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