Yellow Pages Canada Scraper

Turn a yellowpages.ca or pagesjaunes.ca search into structured Canadian business rows: name, phone, email when listed, website, address, hours, categories, rating, and profile link.

Keyword + city, or a .ca URL. JSON or CSV out.

This is Yellow Pages Canada (YP Group). It is not PagesJaunes.fr and not Canada411 (people / white pages).

Why Use This Scraper?

• Phone on every listing in the pizza/Toronto sample
• Native email when Yellow Pages publishes one (about 1 in 4 restaurants; lower on trades)
• Website and social links on the search row
• Hours, categories, rating, neighbourhood, coordinates
• English (yellowpages.ca) and French (pagesjaunes.ca) from the same mobile JSON
• HTTP only. No browser

Overview

Built for sales teams, agencies, and researchers who need Canadian business leads from yellowpages.ca / pagesjaunes.ca.

Every start type becomes one dataset row per merchant. A keyword search, a pretty /search/si/ URL, and a /bus/ profile URL all emit the same flat shape. Rows are de-duplicated by Yellow Pages merchant id.

pagesjaunes.ca is the French Canadian twin of yellowpages.ca. It is not PagesJaunes.fr (Solocal, France).

Supported Inputs

Search terms and locations

Field	Example
searchTerms	["pizza"], ["plumber", "dentist"]
locations	["Toronto, ON"], ["Montreal"], ["Vancouver"]

Every term is searched in every location. ["pizza","plumber"] × ["Toronto","Montreal"] is four searches. A term with no location is skipped.

Set language to fr to hit pagesjaunes.ca for keyword searches.

URL types

URL type	Pattern	Example
Pretty search	/search/si/{page}/{what}/{where}/	https://www.yellowpages.ca/search/si/1/pizza/Toronto/
Query-string search	/search/?stype=si&what=&where=	https://www.pagesjaunes.ca/search/?stype=si&what=plombier&where=Montreal
Business profile	/bus/{Province}/{City}/{Slug}/{id}.html	https://www.yellowpages.ca/bus/Ontario/Toronto/Pizzaville/100363770.html

A pagesjaunes.ca URL forces French regardless of language. Search URLs are paginated automatically.

Unsupported: canada411.ca people pages, yellowpages.com (US), pagesjaunes.fr (France).

Use Cases

Audience	What they take from a run
Sales and outreach	Phone + website + email (when listed) by category and city
Agencies	Cross-joined term × city lists in one dataset
Local SEO	Categories, rating, neighbourhood, and the Yellow Pages profile URL
Researchers	Hours, coordinates, and out-of-business flags for a trade in a city

How It Works

1. Cross-join searchTerms × locations, plus any yellowpages.ca / pagesjaunes.ca URLs.
2. Call the mobile keyword search at 15 businesses per page (pg=N).
3. Fan out remaining pages in parallel, stopping at maxItems or maxPages.
4. Read email, website, hours, and categories from the search row.
5. Optionally load /merchant/{id} for extra phones (toll-free).
6. De-duplicate by merchant id and push one row per business.

Input Configuration

Field	Type	Required	Notes
searchTerms	array	one of the start types	What you would type into Yellow Pages
locations	array	with searchTerms	City or City, PV
startUrls	array	one of the start types	Search or /bus/ URLs on .ca
maxItems	integer	no	Default 50. Free users capped at 50.
language	string	no	en (yellowpages.ca) or fr (pagesjaunes.ca)
scrapeDetails	boolean	no	Default true. Extra phones only.
maxPages	integer	no	Default 20 (300 rows per search).
maxConcurrency	integer	no	Default 5.
proxy	object	no	Optional. Default is no Apify proxy.

Example input

{
  "searchTerms": ["pizza"],
  "locations": ["Toronto, ON"],
  "maxItems": 50
}

French Canadian twin:

{
  "searchTerms": ["plombier"],
  "locations": ["Montreal"],
  "language": "fr",
  "maxItems": 50
}

Output Overview

One flat row per business. Contact and address fields sit at the top level. searchTerm tells you which input produced the row. Email and website are present only when Yellow Pages lists them.

Output Samples

Search: pizza in Toronto, ON.

{
  "listingId": "100363770",
  "name": "Pizzaville",
  "phone": "4167363636",
  "phones": ["4167363636"],
  "email": "info@pizzaville.ca",
  "website": "https://www.pizzaville.ca/",
  "social": [{ "type": "FACEBOOK", "url": "http://www.facebook.com/pizzavilleinc" }],
  "street": "796 College St",
  "city": "Toronto",
  "province": "ON",
  "postalCode": "M6G 1C6",
  "neighbourhood": "Little Italy",
  "latitude": 43.6548587,
  "longitude": -79.4214047,
  "categories": ["Pizza & Pizzerias", "Restaurants"],
  "rating": null,
  "reviewCount": null,
  "hours": [{ "day": 1, "open": "11:00", "close": "23:00" }],
  "isOpen": true,
  "outOfBusiness": false,
  "yellowPagesUrl": "http://www.yellowpages.ca/bus/Ontario/Toronto/Pizzaville/100363770.html",
  "language": "en",
  "searchTerm": "pizza in Toronto, ON"
}

Key Output Fields

Identity: listingId, name, yellowPagesUrl, language

Contact: phone (digits), phones (includes toll-free when scrapeDetails is on), email, website, social

Place: address, street, city, province, postalCode, neighbourhood, latitude, longitude

Directory: categories, rating, reviewCount, hours, isOpen, outOfBusiness

Provenance: searchTerm, scrapedAt

Phone is present on every row in a pizza/Toronto sample. Email is not: Yellow Pages only publishes an inbox on some merchants.

Pricing

Event	When	Rate
Actor start	Once per run, per GB of memory	$0.005
Listing	Each unique business in the dataset	$0.0025 ($2.50 / 1k)
Contact phone	Row has a phone	$0.002
Contact email	Row has an email	$0.05

Phone and email are billed only when Yellow Pages publishes that field. A miss is free.

FAQ

Is this PagesJaunes.fr? No. pagesjaunes.ca is the French Canadian twin of yellowpages.ca. For France use PagesJaunes Scraper.

Does it scrape Canada411 people? No. Use Canada411 Scraper.

Will every row have an email? No. Same as the US directory: phone is common, inbox is not. Phone and email are billed as extra events only when the field is present.

What does scrapeDetails add? Extra phone types (toll-free). Email and website are already on the search row when Yellow Pages has them.

Do I need a proxy? No.

French results? Set language to fr, or paste a pagesjaunes.ca URL.

Support

• Issues: Actor Issues
• Author site: https://muhamed-didovic.github.io/
• Email: muhamed.didovic@gmail.com

Additional Services

Bulk province sweeps, scheduled refreshes, or a private API wrapper: muhamed.didovic@gmail.com

Explore More Scrapers

Directory cousins: Yellow Pages US Scraper, Canada411 Scraper, and PagesJaunes.fr Scraper. More actors on memo23 and didovic.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/yellowpages-ca-scraper).

Purpose: Extract yellowpages.ca / pagesjaunes.ca business listings (name, phone, email when listed, website, split address, hours, categories) by keyword + city or URL.

Minimal input:

{
  "searchTerms": ["pizza"],
  "locations": ["Toronto, ON"],
  "maxItems": 10
}

Output: one dataset row per business — listingId, name, phone, phones, email, website, social, address, street, city, province, postalCode, neighbourhood, latitude, longitude, categories, rating, reviewCount, hours, isOpen, outOfBusiness, yellowPagesUrl, language, searchTerm, scrapedAt.

Behaviors an agent should know:

• Always set maxItems. Free users are capped at 50.
• searchTerms needs at least one entry in locations.
• startUrls work on their own (yellowpages.ca or pagesjaunes.ca only).
• language: "fr" hits pagesjaunes.ca. A pagesjaunes.ca URL forces French.
• Email is often empty. Do not assume a contact-email field exists on every row.
• Each listing is $0.0025. A phone on the row is $0.002. An email is $0.05. Start is $0.005 per GB.
• Canada business directory only. Not Canada411 people, not PagesJaunes.fr, not yellowpages.com.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Yellow Pages Digital & Media Solutions Limited, Yellow Pages Group, or Pages Jaunes. All trademarks mentioned are the property of their respective owners.

The scraper reads publicly listed Canadian business data from Yellow Pages Canada's mobile search API. Users are responsible for ensuring their use complies with yellowpages.ca and pagesjaunes.ca Terms of Service, PIPEDA and provincial privacy law, CASL if they send outreach, and any contractual obligations of their own organization.

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