7 Website Scraping Tools With Proxy Support and Data Export Options

The modern web is the world’s largest public database, but extracting useful information from it requires the right tools. Whether you’re conducting market research, tracking competitor pricing, gathering leads, or building AI datasets, website scraping tools with proxy support and data export options are essential. They allow you to collect data at scale while avoiding IP bans and exporting results into usable formats like CSV, JSON, or Excel.

TLDR: Website scraping tools with proxy support help you gather data at scale without getting blocked. The best tools combine smart proxy rotation, automation features, and flexible export options such as CSV, JSON, or API integration. In this guide, we explore seven powerful scraping tools that balance usability, scalability, and data handling. A comparison chart is included to help you choose the right one quickly.

Before diving into the list, it’s important to understand why proxy support and export flexibility matter so much. Websites often monitor traffic patterns and block suspicious behavior. Proxies — especially rotating residential or datacenter proxies — allow scraping requests to originate from different IP addresses, minimizing detection risk. Meanwhile, robust export tools ensure your scraped data is immediately usable for analytics, reporting, or integration into other systems.

1. Bright Data (Web Scraper IDE)

Bright Data offers one of the most comprehensive scraping ecosystems in the industry. Its Web Scraper IDE allows users to collect structured data without needing extensive coding knowledge.

Key Features:

  • Integrated residential, datacenter, and mobile proxy networks
  • Automatic IP rotation and bypass tools
  • Pre-built scraping templates for major platforms
  • Multiple export formats including CSV, JSON, and API delivery

Bright Data stands out for its enterprise-grade proxy infrastructure. You can configure geo-targeting, session control, and rotation logic directly within the scraping environment. For businesses scaling their data operations, this unified ecosystem reduces complexity significantly.

Best for: Enterprises and large-scale scraping operations.


2. Octoparse

Octoparse is a user-friendly, no-code scraping tool that supports proxy integration and scheduled extraction. It’s especially attractive for non-technical users who want powerful scraping features without writing Python scripts.

Key Features:

  • Cloud-based scraping with IP rotation
  • Supports custom proxy configuration
  • Scheduled automated tasks
  • Export to CSV, Excel, HTML, or database

The point-and-click interface allows you to build crawlers visually. Octoparse also provides cloud extraction, meaning tasks run remotely, reducing strain on local machines.

Best for: Beginners and mid-level marketers needing automation.


3. Scrapy + Proxy Middleware

Scrapy is an open-source Python framework favored by developers. While it doesn’t include proxies natively, it supports proxy middleware extensions that allow seamless integration with third-party proxy services.

Key Features:

  • Highly customizable scraping architecture
  • Supports rotating proxies and user-agent rotation
  • Export to JSON, CSV, XML
  • Extensive plugin ecosystem

Scrapy shines in flexibility. Developers can build advanced crawlers with custom login flows, CAPTCHA handling, and request throttling. With proper proxy configuration, Scrapy becomes incredibly powerful for handling complex scraping projects.

Best for: Developers who need maximum control.


4. Apify

Apify combines scraping, automation, and proxy management in a cloud-based platform. It offers ready-made “Actors” for scraping popular websites, along with its own proxy service.

Key Features:

  • Built-in proxy rotation
  • Residential and datacenter proxies
  • REST API access for data delivery
  • Export to JSON, CSV, Excel, Google Sheets

Apify’s automation capabilities extend beyond scraping. You can monitor jobs, schedule regular runs, and push data directly into applications via API connections. It’s particularly appealing for startups and SaaS companies.

Best for: Teams building scalable data pipelines.


5. ParseHub

ParseHub is another visual scraping tool designed for users who prefer a graphical interface. It supports IP rotation when used with proxy services and handles dynamic websites well.

Key Features:

  • Handles JavaScript-heavy websites
  • Works with custom proxies
  • Scheduled and automated scraping
  • Export to Excel, CSV, and JSON

ParseHub excels at scraping modern, interactive websites. Its desktop application allows detailed project control, while the cloud version enables scheduled automated runs.

Best for: Analysts working with complex, dynamic websites.


6. WebHarvy

WebHarvy is a Windows-based scraping software that automatically detects patterns of data on websites. It includes proxy configuration options and strong data export capabilities.

Key Features:

  • Point-and-click scraping
  • Proxy server support
  • Image and file download options
  • Export to CSV, Excel, XML, SQL database

It is especially useful for e-commerce scraping, where image capture and structured product listings are needed. WebHarvy also supports category crawling for large product catalogs.

Best for: E-commerce data extraction on Windows systems.


7. ScraperAPI

ScraperAPI is slightly different from traditional scraping tools. Instead of being a visual platform, it acts as a proxy API layer that handles IP rotation, CAPTCHA solving, and retries automatically.

Key Features:

  • Automatic proxy rotation
  • Bypass anti-bot protection
  • JSON response delivery
  • Integrates with Python, Node.js, and more

Developers send requests to ScraperAPI instead of directly to target websites. The service manages proxy pools and anti-detection systems behind the scenes.

Best for: Developers wanting simplified proxy management.


Comparison Chart

Tool Proxy Support Ease of Use Export Formats Best For
Bright Data Built-in residential, datacenter, mobile Advanced CSV, JSON, API Enterprise scraping
Octoparse Custom proxies supported Beginner-friendly CSV, Excel, HTML No-code users
Scrapy Via middleware Developer-level JSON, CSV, XML Custom projects
Apify Built-in proxy service Intermediate JSON, CSV, API, Sheets Data pipelines
ParseHub Custom proxies supported Beginner–Intermediate CSV, Excel, JSON Dynamic sites
WebHarvy Proxy server support Beginner CSV, Excel, XML, SQL E-commerce scraping
ScraperAPI Automatic rotating proxies Developer-friendly JSON API Backend integrations

How to Choose the Right Tool

Choosing the right scraping tool depends largely on three factors:

  • Technical expertise: If you’re a developer, frameworks like Scrapy or ScraperAPI provide maximum customization. If not, visual tools like Octoparse or ParseHub are ideal.
  • Scale: Large-scale commercial projects require integrated proxy management like Bright Data or Apify provide.
  • Output requirements: If you need database integration or automated pipelines, prioritize tools with API export options.

It’s also wise to consider compliance and ethics. Respect robots.txt policies where applicable, review website terms of service, and ensure your scraping complies with local regulations such as GDPR when handling personal data.


Final Thoughts

Website scraping has evolved from simple scripts into sophisticated ecosystems with built-in proxy rotation and flexible data exports. Whether you’re gathering competitive pricing intelligence, building AI models, or populating business dashboards, the tools above provide a range of options tailored to different skill levels and scale requirements.

The key differentiator isn’t just scraping capability — it’s how well the tool handles proxies and how easily it delivers the extracted data into your workflow. With the right combination, you can transform the open web into a structured, actionable data resource.

Invest time in testing platforms through trials, assess the proxy infrastructure carefully, and ensure the export format aligns with your analytics stack. Done correctly, web scraping becomes less of a technical hurdle and more of a strategic advantage.