Dun & Bradstreet Scraper

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [
        "https://www.dnb.com/business-directory/industry-analysis.commercial_and_industrial_machinery_and_equipment_rental_and_leasing.html",
        "https://www.dnb.com/perspectives/analytics/us-business-economic-trends.html",
        "https://www.dnb.com/business-directory/company-profiles.alibaba_(china)_technology_co_ltd.e3529c2476c569b9912000545d3314d6.html",
    ],
    "maxItems": 50,
    "extendOutputFunction": """($) => {
    const result = {};
    // Uncomment to add a title to the output
    // result.title = $('title').text().trim();

    return result;
}""",
    "proxy": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("epctex/dnb-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)