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Data Scraping Development Service

Harness the power of advanced web scraping technologies to transform vast, unstructured data into actionable insights. Take advantage of our tailored data scraping development service, unlock competitive advantages, driving strategic decisions and fueling growth. Step into the future of data-driven success today.

The right agency for your project providing success with every solution


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Customer Retention
  • Custom Web Data Scraping


    Tailor-made data scraper development for extracting data from various online sources, with a focus on precision and relevance to your business needs.

  • Dynamic Website Scraping


    Advanced scraping of interactive and dynamic websites using technologies like Selenium, ensuring comprehensive data collection.

  • Data Scraper as a Service ( DSaaS)


    Custom-built, cloud-hosted scraping solutions with seamless API integration and user-friendly interfaces, designed for effortless data utilization in your business.

  • API Development & Integration


    Code reliable APIs to seamlessly interface with backend and front end applications, allowing them to communicate and share data efficiently.

  • Custom Backend Development

    Custom Backend Development icon

    We create a completely unique backend platform to meet your highly personalized project requirements, offering flexibility and scalability for diverse front end applications.

  • Maintenance and Support

    Maintenance And Support icon

    Ongoing maintenance and support to keep your APIs and integrations running smoothly.

Possibilities of our Data Scraping Development Services are limitless, unlocking a world of data-driven opportunities for your business.

engagement models

Dedicated ResourcesDedicated Resources/ Team Hiring

With a Dedicated Team of experienced Developers at your disposal, you control the whole development experience.

  • black tick arrow 160 Hours of full time
  • black tick arrow No Hidden costs
  • black tick arrow Monthly Billing
  • black tick arrow Dedicated account manager
  • black tick arrow Seamless communication
  • black tick arrow Transparent tracking & reporting
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Fixed CostFixed Cost
(Project Based)

This model provides cost predictability and is ideal for well-defined projects with a clear scope, where changes are minimized, and the project stays within a fixed budget

  • black tick arrow Budget predictability
  • black tick arrow Well-defined scope
  • black tick arrow Cost efficiency
  • black tick arrow Milestone-based progress
  • black tick arrow Quality assurance
  • black tick arrow Transparent reporting
  • black tick arrow Seamless communication
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Time Resources BasedTime & Resources Based (Pay As You Go)

You pay as you go, leveraging a flexible approach where you're billed for actual hours spent by our backend developers.

  • black tick arrow Flexible billing
  • black tick arrow Agile adaptability
  • black tick arrow Efficient resource use
  • black tick arrow Transparency
  • black tick arrow Ongoing communication
  • black tick arrow No fixed commitment
  • black tick arrow Transparent tracking & reporting
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Let's discuss the right engagement model for your project?

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Case Studies: VOCSO's Data Scraping Development Stories

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People Love Our Data Scraping Development Services

How does it work?

Tech Consultaion

Project Discovery And Proposal

Understand your requirements and agree on commercials.

wireframe design

Architectural Planning

Based on thorough discussion and strategy

  • Develop a high-level architecture plan.
  • Select the appropriate technology stack.
  • Identify major components and modules.
  • Define component relationships.
  • Describe data flow within the application
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Schema Design & Environment Setup

Add functionalities with plugins and customization

  • Select the appropriate database system (SQL, NoSQL).
  • Set up the chosen database system.
  • Design the database schema.
  • Provision hosting instance.
  • Configure network settings, security groups, and firewall rules.
  • Set up a CI server (e.g., Jenkins, Travis CI, GitHub Actions).
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Make your website business ready

  • Implement core backend logic and functionality.
  • Develop APIs, routes, controllers, and services.
  • Handle business logic.
  • Integrate with external services (e.g., payment gateways, third-party APIs).
Test Launch Support

Testing & Deployment

Perform complete quality checks and go live

  • Conduct comprehensive testing.
  • Deploy the application in a production environment.
  • Create automated deployment pipelines.
  • Monitor the application's performance and functionality in a real-world environment.

Let's find out the right resources for you

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1Advance Web/Data scraping tools and libraries

Embrace cutting-edge tools and libraries for sophisticated web and data scraping tasks. Harness the power of Python with libraries like Scrapy for efficient crawling, or leverage Beautiful Soup for intricate HTML parsing. For dynamic content, we consider Selenium or Puppeteer, offering unparalleled capabilities in handling JavaScript-rich sites.

Powerful python libraries such as Pandas, transform and analyze the scraped data with ease. Integrating these advanced tools elevates scraping projects, allowing us to tackle complex data extraction with precision and efficiency.

  • Python Scrapy: Ideal for creating high-speed crawling projects, offering both flexibility and power in data extraction.

  • Beautiful Soup: A must-have for intricate HTML parsing, making it easier to scrape data from web pages.

  • Selenium: Perfect for interacting with JavaScript-heavy websites, enabling dynamic content scraping with precision.

  • Puppeteer: Offers robust capabilities for automating browser tasks, crucial for scraping modern web applications.

  • Pandas: Transform and analyze your scraped data effectively, an indispensable tool for data processing and manipulation.

  • Requests: Simplify HTTP requests for web scraping, providing a more straightforward approach to data retrieval.

  • LXML: Fast and highly efficient library for processing XML and HTML, essential for parsing complex data structures.

  • Node.js libraries: Explore Node.js ecosystems like Cheerio or Axios for server-side scraping solutions.


2Understanding the legal aspects of web data scraping

Scraping web data also requires understanding of legal aspects of web data scraping is crucial to ensure compliance and avoid potential legal issues. It's essential to familiarize yourself with the laws and regulations surrounding data privacy, such as GDPR in Europe, and to adhere to the website's terms of service, which often dictate the permissibility of scraping activities.

Additionally, respecting intellectual property rights and acknowledging copyright restrictions play a significant role. Navigating these legal waters requires a careful, informed approach to scraping, ensuring that data collection and usage are both ethical and lawful.

3Tackling CAPTCHAs and Other Web Scraping Hurdles

Web scraping involves many obstacles such as CAPTCHAs, IP bans, and dynamically-loaded content, yet we effectively consider various strategies.

  • Overcoming CAPTCHAs: Consider CAPTCHA solving services on case to case basis. Sometimes it can be solved with OCR or AI tools for automatic recognition, and explore browser automation that simulates human interactions for bypassing CAPTCHAs.

  • Handling IP Blocks: Use rotating proxies to avoid IP bans and ensure continuous scraping, and opt for residential proxies for a more discreet approach.

  • Managing Dynamically-Loaded Content: Utilize tools like Selenium or Puppeteer for JavaScript-rich sites, and employ headless browsers to fully render dynamic content before scraping.

  • Avoiding Rate Limiting: Throttle requests to respect rate limits and schedule scraping during less busy hours to minimize rate limit triggers.

  • Data Quality Assurance: Implement post-scraping accuracy checks and continually validate and refine your scraping logic to keep up with source website changes.

4Optimizing web data scraping pipeline

It’s a crucial process that ensures the delivery of clean, structured, and reliable data for whatever your use case may be. We have developed a refined and efficient pipeline that encompasses several key stages. With that we aim to maximize the effectiveness of your data scraping operations.

  • Collection of Raw, Unstructured Data: Utilizing sophisticated scraping tools to efficiently collect relevant and high-quality unstructured data.

  • Pre-validation: Applying early-stage checks and automated scripts to eliminate irrelevant or incorrect data and correct common discrepancies.

  • Data Uploading to a Temporary Database: Safely transferring collected data to a temporary database, maintaining data integrity during the process.

  • Data Structuring and Uploading to the Main Database: Converting unstructured data into a structured format for analysis and transferring it to the main database for effective data management.

  • Validation, Review, and Manual Fixes: Performing extensive validation and manual reviews to ensure data accuracy and rectify any anomalies.

  • Deployment to the Working Data Environment: Seamlessly integrating processed data into the operational environment, ensuring its accessibility and utility for decision-making.

5Data Delivery Options - APIs, Webhooks, Cloud or something else?

There are different use cases of data. However, the choice of data delivery method significantly impacts the ease of data integration and usage. Here are some of the most effective data delivery options:

  • APIs for Data Access: Consider APIs for a seamless, programmable approach to access your scraped data, enabling efficient integration with existing systems in real-time.

  • Leverage Webhooks: Utilize webhooks for instant data delivery to specific endpoints, perfectly suited for applications that demand immediate data updates or alerts.

  • Opt for Cloud Storage: Embrace cloud storage solutions like AWS S3 or Google Cloud for scalable, secure hosting, ideal for managing large data volumes with universal accessibility.

  • Direct Database Insertion: Directly insert scraped data into SQL or NoSQL databases, a recommended approach for applications needing frequent data interactions and analyses.

  • File Downloads (CSV, JSON, XML): Export data in formats like CSV, JSON, or XML for easy offline analysis, particularly useful when data sharing or standard tool analysis is required.

  • Data Streams Utilization: Implement data streaming through platforms like Apache Kafka for real-time processing and analytics, best for scenarios needing on-the-fly data handling.

  • Custom Solutions: For unique requirements, consider developing custom solutions, ranging from tailored APIs to specialized data delivery systems, ensuring a perfect fit for your specific needs.

Engage VOCSO for your
Data Scraping Development Services

You delivered exactly what you said you would in exactly the budget and in exactly the timeline. You delivered exactly what you said you would in exactly the budget and in exactly the timeline.

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Project completed
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Years Experience


Positive reviews
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Customer Retention
  • black tick arrow Transparency
  • black tick arrow Strict Privacy Assurance with NDA
  • black tick arrow Talented Team of Developers
  • black tick arrow 12 Months Free Support
  • black tick arrow Smooth Collaboration & Reporting
  • black tick arrow On time Delivery, No Surprises
  • black tick arrow Efficient & Adaptive Workflow

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frequently asked questions

Data Scraping from various specific websites requires navigating through complex web urls, parsing through html markups to automatically extract the required data. There is no one-size-fits-all solution that addresses this need. Hence it requires development of a custom scraping application to automate the whole process.

The legality of web data scraping depends on the website's terms of service, data privacy laws, and how the scraped data is used. It’s like hacking, if you do it with consent and abide by various applicable laws, you’re good. However, it's important to consult legal advice for compliance.

Yes, advanced web scrapers can handle dynamic websites using tools like Selenium or Puppeteer, which can interact with JavaScript and AJAX-loaded content.

To avoid getting blocked, we use techniques like rotating proxies, user-agent rotation, and respecting the website's robots.txt file and rate limits.

Yes, scraped data can be integrated into any existing systems using APIs, webhooks, excel/csv file or direct database insertion.

Scrape data can be delivered in various formats, including CSV, JSON, XML, or directly into databases

The frequency of scraping can vary from real-time scraping to scheduled intervals, depending on the website's policies and your data requirements.

Challenges include handling CAPTCHAs, managing IP bans, dealing with dynamic content, and ensuring legal compliance.

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