Kijiji.ca Scraper

Extract structured listing data from public Kijiji.ca category and search result pages.

This Actor is built for users who need reliable Kijiji.ca data for research, lead generation, listing analysis, monitoring, and workflow automation. It supports multiple Kijiji URLs in one run and can return lightweight listing data or more enriched records depending on the selected input options.

What This Actor Does

• Collects listings from public Kijiji.ca search and category URLs
• Supports multiple input URLs in a single run
• Returns structured listing data in a clean dataset format
• Can collect basic listing information or more detailed item records
• Supports optional enrichment fields when available

Common Use Cases

• Monitor new listings in specific Kijiji categories
• Build datasets for vehicles, real estate, classifieds, and local commerce
• Track pricing and listing activity over time
• Feed listing data into spreadsheets, internal systems, or automation workflows
• Analyze seller activity and listing patterns

Input

Provide one or more public Kijiji.ca list or search URLs and configure the options that match your needs.

Input Fields

Field	Type	Description
startUrls	Array	One or more public Kijiji.ca category or search result URLs.
maxListings	Integer	Maximum number of listings to collect.
fetchDetails	Boolean	When enabled, the Actor collects more detailed listing information where available.
fetchNewListings	Boolean	Prioritizes newer listings when supported by the source page.
fetchMileageAnalysis	Boolean	Optional enrichment field for supported vehicle listings.
fetchPosterOtherAds	Boolean	Optional seller-related enrichment when available.
fetchSimilarListings	Boolean	Optional listing-related enrichment when available.
fetchSellerProfile	Boolean	Optional seller profile enrichment when available.
fetchSellerMetrics	Boolean	Optional seller metrics enrichment when available.
fetchGoogleReviews	Boolean	Optional review-related enrichment when available.
proxyConfiguration	Object	Optional proxy settings for runs that need a custom proxy setup.

Input Notes

• Use public Kijiji.ca list or search result pages as input
• Different listing categories may produce different output shapes
• If detailed extraction is disabled, collection is typically lighter and faster

Output

The dataset contains one structured item per collected listing.

Common Output Fields

Field	Description
listingId	Listing identifier when available
url	Direct listing URL
sourceUrl	Input URL that produced the result
title	Listing title
price	Listing price when available
description	Listing description when available
location	Listing location
images	Listing images when available
activationDate	Listing activation date when available
lastPostedAt	Latest posting-related date when available

Optional Enrichment Fields

Depending on the selected options and listing type, output may also include:

• seller profile details
• seller metrics
• seller other listings
• similar listings
• mileage analysis
• Google review information
• additional category-specific attributes for vehicles, property, or general classifieds

The exact field set can vary by category because Kijiji does not expose identical public data across all listing types.

Example Output Areas

Depending on the listing and the selected options, output may include details from areas such as:

Area	Examples
Core listing data	listingId, url, title, sourceUrl, activationDate, lastPostedAt
Structured metadata	meta, schemaOrgCar, listing description, images, and location data
Vehicle details	model, vehicleIdentificationNumber, vehicleModelDate, bodyType, vehicleTransmission
Seller information	sellerProfile, sellerMetrics, sellerOtherListings
Market context	similarListings, mileageAnalysis
Listing media	image URLs, schema image objects, and related listing photos

Example Output

{
  "listingId": "1733444522",
  "url": "https://www.kijiji.ca/v-cars-trucks/city-of-toronto/2015-nissan-sentra-sv/1734932407",
  "sourceUrl": "https://www.kijiji.ca/b-cars-vehicles/city-of-toronto/c27l1700273?sort=dateDec",
  "activationDate": "2026-03-24T13:31:31.000Z",
  "lastPostedAt": "2026-03-24T13:31:31.000Z",
  "meta": {
    "title": "2015 Nissan Sentra SV",
    "url": "https://www.kijiji.ca/v-cars-trucks/city-of-toronto/2015-nissan-sentra-sv/1734932407"
  },
  "schemaOrgCar": {
    "name": "2015 Nissan Sentra SV",
    "model": "Sentra",
    "vehicleIdentificationNumber": "3N1AB7AP7FL678651",
    "vehicleModelDate": "2015",
    "bodyType": "Sedan",
    "color": "Grey",
    "vehicleTransmission": "Automatic"
  },
  "mileageAnalysis": {
    "value": 248650,
    "usage": "AVERAGE"
  },
  "sellerProfile": {
    "id": "1015482136",
    "name": "JFL"
  },
  "sellerMetrics": {
    "memberSince": "2019-01-03",
    "replyRate": 68,
    "responsiveness": "UNDER_2_HOURS"
  },
  "similarListings": [
    {
      "id": "1734605764",
      "title": "2022 Nissan Sentra SV",
      "url": "https://www.kijiji.ca/v-cars-trucks/city-of-toronto/2022-nissan-sentra-sv/1734605764"
    }
  ]
}

Why Use This Actor

• Flexible input for multiple Kijiji URLs
• Clean dataset output suitable for analysis and automation
• Useful across different Kijiji categories and listing types
• Supports both fast collection and richer listing extraction

Notes

• Use public Kijiji.ca URLs as input
• Data availability varies by listing type and seller
• Some listing categories expose more fields than others
• In some environments, an appropriate proxy setup can improve collection reliability
• Enrichment-related fields are included only when enabled and publicly available

Good Fit For

• classified ad monitoring
• local marketplace research
• automotive and property listing analysis
• seller activity tracking
• structured data extraction for internal tools and reports

Output Quality

This Actor is designed for practical production use and consistent structured output. It works well for teams that need repeatable Kijiji listing collection without building a custom scraper from scratch, and it can be extended further for more specialized workflows over time.