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Real-Time Scraping for Faster, Smarter Decisions

Our real-time data scraping infrastructure captures, processes, and delivers fresh information instantly so you always work with the most current insights.

  • Live data extraction from websites, APIs, and dynamic platforms
  • Event-based and time-based real-time scraping triggers
  • Scalable infrastructure for high-frequency data updates
  • Automated validation and quality checks on live data
  • API-ready outputs for instant system integration
  • Secure, compliant, and monitored data delivery
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Real-Time Data Scraping Service

What Is Real-Time Scraping?

In today’s fast-moving digital landscape, delayed data often means missed opportunities. Diya Infotech’s Real-Time Scraping Services help businesses collect live, continuously updated data from websites, apps, and digital platforms as it changes.

Real-time scraping is the process of continuously extracting data the moment it changes on a source platform. Instead of waiting for scheduled batch crawls, our systems detect updates instantly and push fresh data to your dashboards, databases, or applications. This approach is ideal for use cases where timing, accuracy, and speed are critical.

Whether you need live pricing updates, stock availability, competitor moves, or breaking market signals, our real-time scraping solutions ensure your systems receive accurate data without lag. We eliminate manual tracking and delayed batch processes, enabling faster reactions and confident decision-making.

WHY CHOOSE US

What Sets Us Apart

Accuracy

Delivers clean, reliable data you can trust every time.

Scalability

Handles any data volume smoothly without slowdown.

Global Reach

Captures insights from markets across the world.

Real-Time APIs

Provides instant, up-to-date data on demand.

Compliance First

Ensures all data practices meet global standards.

Dedicated Support

Project-based dedicated support 24*7.

Our Real-Time Extraction Capabilities

Live Data Collection

We capture data the moment it is published or updated on websites, ensuring your datasets always reflect the latest changes.

High-Frequency Crawling

Our systems support rapid refresh cycles, allowing data extraction at short intervals without compromising accuracy or stability.

Dynamic Content Handling

We extract data from JavaScript-heavy, API-driven, and dynamically loaded pages with consistent reliability.

Event-Based Triggers

Data extraction can be triggered by specific events such as price changes, stock updates, or content additions.

Automated Error Handling

Built-in quality checks, retries, and fallback logic ensure uninterrupted data flow and reliable outputs.

Instant Data Delivery

Real-time data is delivered via APIs, webhooks, or cloud storage for immediate downstream consumption.

Advantages of Real-Time Scraping

01

Up-to-Date Decision Making

Access to live data enables faster responses to market changes and operational shifts.

02

Competitive Edge

Monitor competitor prices, availability, and updates as they happen.

03

Improved Data Accuracy

Frequent refresh cycles reduce stale or outdated information in your datasets.

04

Faster Market Insights

Identify trends, demand shifts, and anomalies in near real-time.

05

Automation at Scale

Eliminate manual tracking by automating continuous data extraction workflows.

06

Seamless System Integration

Real-time data feeds integrate easily with analytics tools, dashboards, and internal systems.

Use Cases for Real-Time Scraping

Live Price and Stock Monitoring

Real time scraping ensures you never miss a change in product prices or stock availability.

  • Track competitor product prices instantly.
  • Monitor stock levels across multiple platforms.
  • Adjust your pricing strategy in real time.
  • Optimize inventory planning with live updates.

Competitor Activity Tracking

Stay ahead by keeping a close eye on competitor actions and market moves.

  • Monitor new product launches and catalog updates.
  • Track promotional campaigns and discounts.
  • Identify competitor strengths and weaknesses quickly.
  • Gain actionable insights for smarter business strategies.

Financial Market Data Updates

Timely financial data is critical for investors and analysts.

  • Capture live stock prices, indices, and commodities.
  • Monitor currency exchange rates in real time.
  • Support algorithmic and high‑frequency trading.
  • Improve forecasting and risk management with accurate feeds.

News and Trend Monitoring

Stay informed with breaking news and emerging trends as they happen.

  • Aggregate headlines from multiple sources instantly.
  • Track industry specific developments in real time.
  • Identify trending topics before competitors.
  • Power PR and marketing strategies with live insights.

Popular Brands Data Extraction

Ecommerce
  • Amazon
  • Lazada
  • eBay
  • Shopee
  • AliExpress
  • Costco
  • Lowes
  • Target
  • Walmart
  • Sears
Travel
  • GoogleTrips
  • Agoda
  • TripAdvisor
  • Kayak
  • Trivago
  • Priceline
  • Expedia
  • TripIt
  • MakeMyTrip
  • Hopper
Grocery
  • Instacart
  • Safeway
  • BigBasket
  • Ocado
  • Costco
  • Amazon
  • Kroger
  • GoPuff
  • Instashop
  • Walmart
Food Delivery
  • Doordash
  • Swiggy
  • Deliveroo
  • Wolt
  • Uber Eats
  • Glovo
  • Zomato
  • Foodpanda
  • Justeat
  • Grubhub
OTT Platforms
  • Netflix
  • Hotstar
  • Disney+
  • Hulu
  • Apple Tv
  • Amazon Prime
  • Sky
  • Pluto Tv
  • Dazn
  • Discovery
Social Media
  • LinkedIn
  • FB/Insta
  • YouTube
  • TikTok
  • WeChat
  • X/Twitter
  • Reddit
  • Snapchat
  • Pinterest
  • Quora
Hotel
  • Airbnb
  • Booking.com
  • Ctrip
  • MakeMyTrip
  • Trivago
  • TripAdvisor
  • Expedia
  • Agoda
  • Priceline
  • Google Travel
Recruitment
  • Amazon Jobs
  • Indeed
  • Usajobs
  • Glassdoor
  • Ziprecrutier
  • Monster
  • Dice
  • Roberthalf
  • Snagajob
  • Simplyhired
Dating
  • Tinder
  • Salt
  • Her
  • Eharmony
  • Badoo
  • Bumble
  • Okcupid
  • Hinge
  • SilverSingles
  • Match.com
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Frequently Asked Questions

What is real-time scraping?

Real‑time scraping is the process of continuously collecting live data from websites, apps, and digital platforms. It ensures you always have the most up‑to‑date information for faster decision‑making.

How does real-time scraping benefit my business?

It helps you monitor competitors, track market trends, capture customer sentiment, and respond instantly to changes. This gives you a competitive edge and reduces the risk of relying on outdated data.

Is real-time scraping secure?

Yes. At Diya Infotech, we use encrypted communication, strict access controls, and GDPR‑compliant practices to ensure your data is collected and delivered securely.

Can real-time scraping handle large volumes of data?

Absolutely. Our infrastructure is built to scale; whether you need thousands or millions of records, we deliver accurate results without performance issues.

What kind of data sources can be scraped in real time?

We can extract data from e‑commerce sites, financial platforms, travel portals, social media channels, and news outlets, among many others.

Will the scraped data integrate with my existing systems?

Yes. We provide outputs in formats like CSV, JSON, XML, or direct API feeds, making it easy to integrate with your BI tools, databases, or cloud storage.

How accurate is the data collected in real time?

Our automated validation and manual quality checks ensure up to 99% accuracy, so you can trust the insights for critical business decisions.

How quickly can a real-time scraping project be delivered?

Turnaround depends on complexity, but most projects are completed within 7–8 working days. For continuous scraping, we set up automated workflows that run 24×7.

WHAT WE OFFER

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Get In Touch

We are your preferred data services partner. Our commitment to your success begins when you fill up this form and send it to us.

    What's Next ?

    You have made the right choice by connecting with us for your data extraction requirements. The below process how to get started.

    1

    Requirement Gathering

    We work closely with clients to ascertain business goals, technical requirements, systems that meet business standards. We then use this information to make the precise scope for effective data solutions.

    2

    Technical Document Preparation & Quote

    We prepare a full technical document outlining deliverables, between which times, what technologies are needed. Sending this to clients for review offers peace of mind and helps assure good results.

    3

    SLAs and Agreement

    We outline the scope, deliverables and system standards on the project. This helps align expectations and ensure that the partnership drives data outcomes.

    4

    Project Starts

    Our team defines milestones and workflows. We use clear language to ensure that implementation runs smoothly and deliverables are completed on time as expected.