Kijiji Scraper

Use the Web Scraper IDE tool to retrieve publicly available data from Kijiji.

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Use Bright Data’s Web Scraper IDE,
or request an Kijiji dataset


Kijiji Scraper use cases

  • Scrape Kijiji to monitor houses and auto pricing
  • Identify new products and location trends
  • Collect Kijiji reviews data to monitor consumer sentiment
  • Optimize your pricing strategy with real-time data

Kijiji Scraper Overview

    • Easy data scraping for beginners

    • All-in-One platform integrates with our industry-leading proxy networks

    • Utilizes proprietary technology to unlock sites

    • Infinitely scaleable – collect as much data as you need quickly and completely

    • Fully-compliant with industry best practices and privacy regulations (GDPR, CCPA)


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Web Scraper IDE Features

Leave your scraping limitations behind with our hosted cloud solution
Pre-made web scraper templates
Get started quickly and adapt existing code to your specific needs
Interactive preview
Watch your code as you build it and debug errors in your code quickly
Built-in debug tools
Debug what happened in a past crawl to understand what needs fixing in the next version
Browser scripting in JavaScript

Handle your browser control and parsing codes with simple procedural JavaScript

Ready-made functions

Capture browser network calls, configure a proxy, extract data from lazy loading UI, and more!

Easy parser creation

Write your parsers in cheerio and run live previews to see what data it produced

Auto-scaling infrastructure

You don’t need to invest in the hardware or software to manage an enterprise-grade web scraper


Emulate a user in any geo-location with built-in fingerprinting, automated retries, CAPTCHA solving, and more.

Built-in debug tools

Trigger crawls on a schedule or by API, and connect our API to major storage platforms

How to use an Kijiji Scraper to grow your business:

  • Extract data from multiple pages. The scraper can be configured to extract data from multiple pages of search results
  • Develop pricing strategies based on changes in prices for listings including seasonal changes
  • Discover emerging trends
  • Anticipate customer needs and preferences in terms of pricing, amenities, tourist trends, and other hospitality-related considerations
  • Monitor for new listings: The scraper can be set up to periodically check for new listings that match your search criteria
  • Track trends and consumer sentiment with reviews and comments data
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Everything you need from a web scraping solution

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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