We extract business details, residential addresses, phone numbers, and category classifications from Canada411. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Business Listings objects from canada411.ca. All fields typed and schema-versioned.
"business_name": "Toronto Plumbing Services", "category": "Plumbers", "phone_number": "416-555-0198", "street_address": "123 King St W", "city": "Toronto", "province": "ON", "postal_code": "M5H 1J9"
| # | business_name | category | phone_number | street_address | city | province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Residential Listings objects from canada411.ca. All fields typed and schema-versioned.
"first_name": "John", "last_name": "Doe", "phone_number": "604-555-0142", "street_address": "456 Main St", "city": "Vancouver", "province": "BC", "postal_code": "V6A 2S5"
| # | first_name | last_name | middle_initial | phone_number | street_address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reverse Phone Lookup objects from canada411.ca. All fields typed and schema-versioned.
"query_phone": "514-555-0199", "line_type": "Landline", "associated_name": "Boulangerie Montreal", "city": "Montreal", "province": "QC", "postal_code": "H2Z 1A7", "listing_type": "Business"
| # | query_phone | line_type | carrier_info | associated_name | address_found | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Search objects from canada411.ca. All fields typed and schema-versioned.
"search_keyword": "Electricians", "search_location": "Calgary, AB", "rank_position": 1, "business_name": "Calgary Spark Electrical", "phone_number": "403-555-0188", "sponsored_flag": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | search_keyword | search_location | rank_position | business_name | phone_number | profile_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Metadata objects from canada411.ca. All fields typed and schema-versioned.
"postal_code": "M5V 2H1", "city": "Toronto", "province": "ON", "latitude": 43.6455, "longitude": -79.3953, "total_businesses": 412, "total_residential": 1850
| # | postal_code | city | province | latitude | longitude | neighborhood |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the entire directory structure: business listings, residential records, reverse lookups, and category pagination, with rate-limit circumvention built in.
Extract business names, categories, contact numbers, and full addresses mapped to specific postal codes.
Capture first names, last names, initials, phone numbers, and addresses for public residential listings.
Input phone numbers to extract associated names, addresses, and line types available in the public directory.
Scrape entire business categories by city or province, capturing all paginated results.
Addresses are split into street, city, province, and postal code fields for clean database insertion.
Bypass display limits by matrixing search queries across postal codes to extract full municipal datasets.
Extract embedded latitude and longitude coordinates where available on business profile maps.
Capture integrated data points and profile URLs linking back to the parent Yellow Pages network.
Run one-off bulk exports or configure continuous pipelines to detect new or removed listings.
Brief in. Clean data out.
Provide categories, cities, postal codes, or phone number lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and pagination logic for canada411.ca.
Schema validation, null-rate checks, and data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Canada411 restricts bulk access through rate limiting and pagination caps. Here is how we maintain high-volume extraction.
Directory sites aggressively throttle datacenter IPs. We route requests through verified Canadian residential proxies, rotating IPs dynamically to distribute load and avoid temporary bans.
Canada411 limits category search results to a fixed number of pages. We bypass this by programmatically dividing large searches into granular queries by postal code or neighborhood, ensuring zero data loss.
Phone numbers and certain address fields may be dynamically loaded or obfuscated. We use Playwright to execute page scripts, ensuring all contact data is fully rendered before extraction.
High-frequency searches trigger CAPTCHA challenges. Our pipeline integrates automated solvers to clear these hurdles without manual intervention, maintaining pipeline throughput.
Directory formats vary between business and residential entries. We normalise all outputs into a strict schema, ensuring consistent postal code formatting and address structures.
Sales teams extract local business contacts by category and region to build targeted outreach lists.
Fintech and compliance teams use residential directory data to cross-reference addresses and phone numbers.
Property investors and agencies use reverse phone lookups and address searches to locate property owners.
Call centres acquire structured, legally permissible public phone directories for regional campaigns.
Agencies monitor local business presence, category rankings, and NAP consistency across directories.
CRM administrators append missing phone numbers or postal codes to incomplete customer records.
"Canada411 holds the definitive graph of Canadian local businesses and residential contact data, but extracting it at scale requires bypassing strict rate limits and pagination caps."
Scraping directory sites at volume triggers aggressive anti-bot defenses. Our infrastructure handles the proxy rotation, JavaScript execution for obfuscated numbers, and CAPTCHA solving, delivering clean, normalised contact records directly to your data warehouse.
Everything supported by our canada411.ca scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright executes JavaScript to reveal obfuscated phone numbers and addresses.
We maintain pools of Canadian residential ISP proxies. Rotation happens per-request to bypass directory rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About canada411.ca scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible, provided it targets public facts like business names, addresses, and listed phone numbers. We do not bypass authentication walls. Clients must ensure their use of the data complies with Canadian anti-spam legislation (CASL) and telemarketing rules.
Canada411 restricts the number of results shown per search. We bypass this by matrixing searches into smaller geographic units, such as individual postal codes, ensuring we extract the entire dataset without hitting display limits.
Yes. We can extract publicly listed residential records, including names, addresses, and phone numbers, based on geographic or surname queries.
Yes. You can provide a list of phone numbers, and our pipeline will query Canada411 to return the associated names, addresses, and line types.
We extract data directly from the live Canada411 site during each pipeline run, ensuring the information reflects the most current public directory state.
Yes. All addresses are parsed, and postal codes are normalised to the standard six-character format (e.g., M5V 2H1) for consistency in your database.
Our minimum engagement typically starts with a defined geographic area or specific category set. Contact us with your target volume for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full provincial business directory or a targeted reverse lookup feed, we build and operate the pipeline. Tell us your requirements.
