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Yellow Pages Details Scraper (Australia)

DirectoriesLead GenerationMCP
Get business phone, geographic info, website, email etc. from Yellowpages.com.au by URL.
Standard
Access Level
Run Mode
Free
Cost of Usage
2026/09/17
Last updated
Try it!

πŸ“Œ What detailed information can you extract from Yellow Pages Australia pages?

This template collects detail-page records with Business name, Address, Telephone, Email, Listing ID, Department, Latitude, and Longitude. It is useful for sales teams, local-market researchers, business analysts, and lead-generation professionals.

Data is collected from Yellow Pages Australia. Yellow Pages Australia is a directory for finding Australian businesses, services, and contact details.


πŸ’° Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.


πŸ“¦ Output

Yellow Pages Details Scraper (Australia) returns these fields:

  • Listing_ID
  • Business_name
  • Department
  • Address
  • Latitude
  • Longitude
  • Telephone
  • Email
  • Website
  • Opening_hours
  • ABN
  • ACN
  • Number_of_employees
  • Established
  • Also_trade_as
  • Facebook
{
  "Listing_ID": "13198754",
  "Business_name": "Scullin Service Centre",
  "Department": "Mechanics & Motor Engineers",
  "Address": "122 Ross Smith Cres, Scullin ACT 2614",
  "Latitude": "-35.233307",
  "Longitude": "149.04119",
  "Telephone": "(02) 6254 1571",
  "Email": "scullinservicecentre@iinet.net.au",
  "Website": "http://www.scullinsc.com.au",
  "Opening_hours": "Mon 8:00am - 5:00pm Tue 8:00am - 5:00pm Wed 8:00am - 5:00pm Thu 8:00am - 5:00pm Fri 8:00am - 5:00pm Sat 8:30am - 12:30pm Sun Not Provided",
  "ABN": null,
  "ACN": null,
  "Number_of_employees": null,
  "Established": "1983",
  "Also_trade_as": null,
  "Facebook": null
}

🎯 Use Cases

  • Build a structured research dataset organized by Business name and Address.
  • Enrich business or location analysis with Email, Telephone, and Website.
  • Review and export Department for operational analysis or reporting.
  • Review and export Address for operational analysis or reporting.

πŸ™ Why Octoparse

  • Built for Yellow Pages Australia: The automation opens the detail pages determined by Details page URLs (up to 10K), extracts the configured page fields, and writes structured rows including Listing ID, Business name, Department, and Address.
  • Inputs match the workflow: The form uses Details page URLs (up to 10,000 entries).
  • Fields stay connected: Yellow Pages Details Scraper (Australia) returns Business_name, Address, Listing_ID, Department, and Latitude in the same structured dataset.
  • Ready for repeat use: After Yellow Pages Details Scraper (Australia) runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

πŸ“ Input

Complete the following fields:

  • Details page URLs (Optional) β€” Please enter a list of detail URLs on Yellowpages.com.au. Up to 10,000 entries per run.

πŸš€ How to Use

  1. Open Yellow Pages Details Scraper (Australia) and click Try it!.
  2. Complete Details page URLs using the formats and limits shown in the Input section.
  3. Choose a local or cloud run in Octoparse and start the task.
  4. Review fields such as Business_name, Address, and Listing_ID, then export the rows in the format you need.

πŸ’‘ Tips

  • Test one representative value in Details page URLs before submitting a large batch to Yellow Pages Details Scraper (Australia).
  • Use Business_name and Address when checking duplicates or comparing repeated exports.

❓ FAQ

How many entries can Yellow Pages Details Scraper (Australia) accept in Details page URLs per run?

Enter up to 10,000 values in Details page URLs per run.

Which Yellow Pages Australia pages does Yellow Pages Details Scraper (Australia) process?

The workflow is configured for detail pages and returns fields such as Business_name, Address, Listing_ID, and Department.

What can I use data from Yellow Pages Details Scraper (Australia) for?

Build a structured research dataset organized by Business name and Address.


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