Harness Kijiji's vast data with the custom Kijiji Scraper API. Access up-to-date details from listings, user reviews, and more. Explore a wide range of items, from high-end electronics to affordable used cars. With the Kijiji Scraper, you can:
Access real-time localized data
Get around sophisticated anti-bot systems
Utilize JavaScript rendering
*This scraper is part of Web Scraper API
To extract information from Kijiji, simply construct a payload incorporating job parameters and the Kijiji website URL. Following this, transmit the request to our API and obtain the outcomes in HTML format.
Harness Kijiji's vast data to understand local market trends, pricing, and competition. Make informed decisions for your classified ad success, whether selling, buying, or trading. Utilize Kijiji's network to thrive in your local community.
See the output example on the right, and visit our documentation to find more details.
{ "results": [ { "content":"\n\n ... \n\n", "created_at": "2023-11-23 17:32:14", "updated_at": "2023-11-23 17:32:16", "page": 1, "url": "https://www.kijijiautos.ca/cars/best-family-cars/?utm_campaign=xpromo_BrowseByLifestyle&utm_content=web_LandingPageCategory_family&utm_medium=referral&utm_source=kijiji", "job_id": "7135159617994120193", "status_code": 200 } ] }
Our commitment to client success goes beyond delivering exceptional products. We have a dedicated support team that is always here to assist, delivering proactive guidance and resolving issues promptly.
Access the 102M+ proxy pool to extract data from any worldwide website.
Collect data from up to 1000 URLs per batch at once.
Receive results via our API or to your cloud storage bucket (AWS S3 or GCS).
Easy to integrate, customize & supports a high volume of requests.
Get professional and timely assistance day and night.
Independently write parsing instructions and parse any target effortlessly while using our infrastructure.
No need to maintain your own parser
Define your own parsing logic with XPath and CSS selectors
Collect ready-to-use structured data from Kijiji
Discover all pages on Kijiji and fetch data at scale and in real time with Web Crawler feature.
Gather only the data you need from target websites
Control the crawling scope and tailor the end result
Retrieve your results in a specified format
Automate recurring scraping and parsing jobs with the needed frequency by scheduling them with Scheduler feature.
Create multiple schedules for different jobs
Receive data automatically to your preferred cloud storage
Get notifications once each job is done
Gather data from Kijiji effortlessly
Pay only for successful results
Gather highly-localized data
Receive scraping know-how
0
1 week trial
Limited to 1 user
49
$2.80 / 1K results
$49 + VAT billed monthly
99
$2.60 / 1K results
$99 + VAT billed monthly
249
$2.40 / 1K results
$249 + VAT billed monthly
17,500
38,000
104,000
10 requests / s
30 requests / s
We accept these payment methods:
Kijiji is a popular online classified advertising service that operates as a centralized network of online communities, organized by city and urban region, for posting local advertisements. It is a subsidiary of eBay launched in March 2005. Kijiji offers listings in a wide variety of categories including jobs, services, cars, pets, housing, personal goods, and more. It's a platform where users can buy, sell, trade, or even find services or job opportunities in their local area.
The legality of web scraping, such as scraping Kijiji, is a complex issue that depends on several factors. While web scraping itself is not illegal, it can become illegal if it infringes on copyrights, violates terms of service, or involves unauthorized access to protected systems. Kijiji's terms of service may prohibit scraping, and if this is the case, scraping Kijiji would be considered a breach of these terms. Additionally, if the data being scraped is copyrighted, scraping could potentially infringe on these rights. Therefore, it's crucial to understand and respect the legal boundaries and the specific website's terms of service before engaging in web scraping activities.
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