
Structured Data Extraction (JSON, XML, CSV)
Transform messy, unstructured web content into clean, structured data formats ready for analysis, integration, and automation.
We specialize in structured data extraction, which converts raw content from websites, APIs, feeds, and documents into organized, machine-readable formats such as JSON, XML, and CSV. Our scalable extraction pipelines are built for accuracy, adaptability, and output consistency, enabling you to seamlessly feed data into BI tools, CRMs, ERPs, or custom systems.
Success Stories
We’ve empowered SaaS firms to structure data from competitive platforms, helped marketplaces unify supplier feeds into clean CSV catalogs, and enabled real estate firms to parse multi-source listings into standard JSON formats for better property insights.

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.

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.

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 serve industries where data integration and system automation rely on well-structured, high-quality data. Our structured data extraction services help businesses operate more intelligently by delivering clean, validated, and scalable outputs in formats tailored to downstream usage.
E-commerce Platforms
Convert product listings, pricing, and inventory data into ready-to-use CSV feeds or XML catalogs to power search engines, analytics, or third-party syndication.
Market Research & SaaS Platforms
Standardize multi-source property data into JSON for CRM integration, lead scoring, and location-based filtering.
Financial & Investment Firms
Extract financial statements, stock trends, and economic indicators from public websites and APIs into structured formats for real-time decision-making.
Real Estate Lead Management
Pull reviews, feedback, and web content into normalized JSON structures to fuel NLP, sentiment analysis, and competitive benchmarking.
Healthcare & Education
Scrape data from public directories, accreditation sources, and research publications into XML or CSV for internal dashboards and research workflows.
Development Process
We use a modular, precision-focused approach to extract, clean, and format data according to your specifications, ensuring it integrates seamlessly into your analytics or operational stack.
Source Analysis & Data Mapping
We begin by identifying your target sources and mapping the desired data schema—ensuring clarity in field structure, relationships, and output format.
Extraction Logic & Transformation
Using advanced scraping techniques, we extract unstructured data, apply logic for cleaning, deduplication, and formatting, and convert it into structured outputs (JSON, XML, CSV) as per your use case.
Output Integration & Validation
We deliver structured data through direct APIs, cloud storage, or secure file transfers, with built-in validation rules and format consistency checks to ensure reliability and long-term scalability.
Technologies We Use for Web Scraping
- 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
- Azure
- GCP
- Heroku
- Playwright
- Puppeteer
- selenium
- Bright Data
- Capsolver / 2captcha / Anticaptcha
- Oxylabs
- ScraperAPI
- Zyte
- Apify
- ScrapingBee
- ZenRows
- AWS Lambda
Programming Languages
- bash
- JavaScript
- Node Js
- Python
Our Clients
From eCommerce aggregators to AI-powered analytics platforms, our clients rely on structured data delivered in JSON, XML, and CSV to run better queries, build more intelligent systems, and create more valuable user experiences.
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