WLW Scraper – B2B Supplier Leads Germany

What does WLW Scraper do?

WLW Scraper extracts structured listing data from wlw.de — including contact details, company metadata, full descriptions, and location data. It supports keyword search and controllable result limits, so you can run the same query consistently over time.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.

What data can you extract from wlw.de?

Each result includes Core listing fields (listingId, listingKey, uuid, slug, name, city, street, and zipcode, and more), detail fields when enrichment is enabled (description), contact and apply information (phoneNumber and emailExisting), and company metadata (companyId). All fields are always present — unavailable data points are returned as null, never omitted.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Keyword to search for suppliers (e.g. "Pumpen", "Werkzeugmaschinen"). Use JSON array for multiple queries.
• startUrls — Direct wlw.de search URLs to scrape.
• maxResults — Maximum number of companies to return (0 = unlimited). (default: 0)
• maxPages — Maximum search result pages to scrape per query (0 = unlimited, ~30 companies/page). (default: 0)
• supplierType — Filter results to a specific supplier type. Valid values: production, distribution, service, wholesaler, customer_specific_manufacturing.
• countries — Post-extraction country filter. Only return companies whose countryCode matches one of the specified ISO 3166-1 alpha-2 codes (e.g. ["DE", "AT", "CH"]). Applied after scraping — all pages are fetched regardless.
• incrementalMode — Track new, updated, and removed companies across runs. Requires stateKey. (default: false)
• stateKey — Stable identifier for the tracked search universe (e.g. "pumpen-de").
• emitUnchanged — When incremental, also emit companies that haven't changed. (default: false)
• emitExpired — When incremental, also emit companies no longer found in search results. (default: false)

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "Pumpen",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "Pumpen",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "pumpen-tracker"
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "9a5d1b0bd4aa5542ac371840285780e5660e009ab8d41ad4cb059ef1fecdd665",
  "listingKey": "der-kaffeemann-gmbh-1017029",
  "companyId": 1017029,
  "uuid": "00505682-f25b-1ee9-bd91-d2a9b39497fb",
  "slug": "der-kaffeemann-gmbh-1017029",
  "name": "Der Kaffeemann GmbH",
  "description": "Wir schließen Versorgungslücken -  seit über 50 Jahren bringen wir Kaffeegenuss, Kaltgetränke und Snacks in NRW an den Arbeitsplatz und überall dorthin, wo eine professionelle Lösung gefragt ist. \n\n\nD...",
  "city": "Solingen",
  "street": "Lindgesfeld 20",
  "zipcode": "42653",
  "countryCode": "DE",
  "latitude": 51.2040693,
  "longitude": 7.0826337,
  "homepage": "http://www.der-kaffeemann.de/",
  "phoneNumber": "+49212258380",
  "emailExisting": true,
  "foundingYear": 1994,
  "employeeCount": "10-19",
  "certificatesCount": 0,
  "supplierTypes": [
    "service",
    "distribution",
    "wholesaler"
  ],
  "distributionArea": "regional",
  "averageResponseTime": "less_than_24h",
  "responseRate": 1,
  "isCustomer": true,
  "logoUrl": "https://wlw-1-company-facts-media20191122174836234900000006.s3.eu-central-1.amazonaws.com/43dcf5f0-addd-4b0f-bb71-cc5420ca9031.jpeg",
  "portfolioProductCount": 5,
  "productCount": 18,
  "epId": null,
  "profileUrl": "https://www.wlw.de/de/firma/der-kaffeemann-gmbh-1017029",
  "sourceUrl": "https://www.wlw.de/de/suche/firmen?for=Pumpen",
  "searchQuery": "Pumpen",
  "scrapedAt": "2026-04-19T13:58:23.087Z",
  "source": "wlw.de",
  "contentHash": "5ad4234d755412c4079968c29f529cb9c8a1b3d0a877cfb654eb905ccacebaed",
  "changeType": "NEW",
  "trackedHash": "5ad4234d755412c4079968c29f529cb9c8a1b3d0a877cfb654eb905ccacebaed",
  "firstSeenAt": "2026-04-19T13:58:23.087Z",
  "lastSeenAt": "2026-04-19T13:58:23.087Z",
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": "live-verify-1776607096636"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.

How to scrape wlw.de

1. Go to WLW Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from wlw.de for market research and competitive analysis.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape wlw.de?

WLW Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.0015 per listing record

Example costs:

• 10 results: $0.02
• 100 results: $0.15
• 500 results: $0.76

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.38	$0.02	$0.36 (94%)	$0.71
15% — moderate broad query	$0.38	$0.06	$0.32 (84%)	$1.84
30% — high-volume aggregator	$0.38	$0.12	$0.26 (69%)	$3.53

Full re-scrape monthly cost at daily polling: $11.40. First month with incremental costs $1.07 / $2.16 / $3.79 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from wlw.de?

The number of results depends on the search query and available listings on wlw.de. Use the maxResults parameter to control how many results are returned per run.

Does WLW Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate WLW Scraper with other apps?

Yes. WLW Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use WLW Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use WLW Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape wlw.de?

This actor extracts publicly available data from wlw.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.