wlw.de Listing Scraper (stable)

📌 What can you collect with wlw.de Listing Scraper (stable)?

This template collects leads like title, product name, especially detail urls from wlw.de listing pages.

Data is collected from Wlw. Wlw is a business discovery or information service where users find organizations, locations, contact details, and public listing data.

💰 Pricing

This template currently has no per-line charge.

📦 Output

wlw.de Listing Scraper (stable) returns these fields:

• Firma_Name
• Firma_Detail_Link
• Product_Name
• Product_Link

Example Data Preview:

{
  "Firma_Name": "Maier-Unitas GmbH",
  "Firma_Detail_Link": "https://www.wlw.de/de/firma/maier-unitas-gmbh-283430",
  "Product_Name": "Double Blind Stitch Sewing Machines",
  "Product_Link": "https://www.wlw.de/de/firma/maier-unitas-gmbh-283430/produkte/double-blind-stitch-sewing-machines-24733944"
}

🎯 Use Cases

• Build business or organization lists with public identity, location, and contact fields.
• Compare listings across categories, searches, or locations.
• Maintain directory, supplier, partner, or lead-research datasets.
• Export source URLs and structured records for verification or enrichment workflows.

🐙 Why Octoparse

• Ready-to-use Wlw workflow: Enter Keywords (up to 10,000), Number of Pages (up to 1,000), run wlw.de Listing Scraper (stable), and review the structured rows returned for each source record.
• Useful results: The returned Firma Name, Firma Detail Link, Product Name, and Product Link fields support comparison, monitoring, and reusable data workflows.
• Local or cloud runs: Run this template locally or in the cloud.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Keywords (up to 10,000) (required): Enter one or more values, one per line.
• Number of Pages (up to 1,000) (optional): Enter a number from 1 to 1000.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Choose a local or cloud run.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• wlw.de Listing Scraper (stable) collects the fields listed in Output from listing pages; it does not add data that Wlw does not display.
• Fields such as Firma Detail Link, Product Name, and Product Link can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Keywords (up to 10,000) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Firma Name, Firma Detail Link, Product Name, and Product Link as the deduplication key when available.

❓ FAQ

Does wlw.de Listing Scraper (stable) collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by wlw.de Listing Scraper (stable)?

Yes. You can schedule wlw.de Listing Scraper (stable) to run locally or in the cloud and export the collected data from Octoparse. Keep your computer and Octoparse open for local scheduled runs. Scheduling may require a paid Octoparse plan.

How much does wlw.de Listing Scraper (stable) cost?

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

🔗 Related Templates

• Wlw.de Detail Scraper (stable) - Use Wlw.de Detail Scraper (stable) with url values from this template for the next collection step.
• wlw.de Lead Scraper - Use wlw.de Lead Scraper when you need search results data instead of this template's listing data on the same source.
• Amazon Product Listing Scraper (for France) - Use Amazon Product Listing Scraper (for France) for a comparable ecommerce collection scenario on another source.