Web Scraping Services
We deliver efficient web scrapers to extract valuable data for competitor tracking, product intelligence, and social sentiment analysis. Our solutions provide clean, compliant, and business-ready data to help you achieve your goals.
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.
Custom 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
We extract user discussions, sentiment, and trending topics from forums and social media to help you make informed, data-driven business decisions.
News & Publications Scraping
We help you gain real-time access to headlines, articles, and insights from top news sources to monitor trends, track mentions, and fuel your strategy with up-to-date information.
Anti-Bot Bypass & CAPTCHA Handling
Overcome security barriers by implementing advanced techniques to bypass anti-bot measures and solve CAPTCHAs efficiently.
Structured Data Extraction
Structured data extraction involves retrieving organized data from sources like JSON, XML, or CSV formats for easy analysis, transformation, or storage.
Technologies We Use for web Scraping
Node Js
Python
JavaScript
Bash
Scrapy
Selenium
Playwright
Pandas
Cheerio.js
Requests
Puppeteer
BS4
Selenium WebDriver
Playwright
Puppeteer
Bright Data
Zyte
ScraperAPI
Oxylabs
CapSolver / 2Captcha / Anti-Captcha
ZenRows
zyte
Apify
ScrapingBee
MySQL
SQL Server
PostgreSQL
MongoDB
SQLite
ZenRows
JSON
XML
Google sheets
AWS Lambda
Azure Functions
GCP
Heroku
AWS Lambda
Structured Data Extraction (JSON, XML, CSV)
We extract clean, structured data from formats like JSON, XML, and CSV making it ready for analysis, reporting, or integration with your data pipelines and business systems.
Technologies We Use for web Scraping
Programming Languages
Node Js
Python
JavaScript
Bash
Frameworks & Libraries
Scrapy
Selenium
Pandas
Requests
Playwright
Puppeteer
Cheerio.js
BS4
Databases
MySQL
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
Web Scraping Process
We follow a meticulous process to deliver reliable, high-volume scraping with clean, ready-to-use data.
We begin by understanding your data needs, goals, and target use cases to define the exact scope of websites, data fields, and delivery frequency.
We inspect the target websites’ structure, HTML layout, dynamic elements, and anti-bot mechanisms to determine the best scraping strategy and toolset.
Our developers build efficient, scalable scraping scripts tailored to your targets—handling pagination, dynamic content, user agents, and headers for smooth access.
Raw data is normalized, de-duplicated, and formatted into structured outputs like JSON, CSV, or databases ensuring you get clean, usable insights instantly.
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.
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.
Technology Stack
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Languages
C#
JavaScript
Java
Python
Frameworks
.Net
Node JS
Angular
React
Vue JS
Spring
Django
Falsk
Database management
PostgreSQL
Microsoft SQL
MySQL
MongoDB
Cloud Offerings
Cloud
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud
Mobile
Swift
Kotlin/Java
HTML5
React Native
Xamarin
Blockchain
Ethereum
Hyperledger
Contact Us
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