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DNB Companies Scraper

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DNB Companies Scraper

DNB Companies Scraper

dtrungtin/dnb-companies-scraper
Try for free

14 days trial then $30.00/month - No credit card required now

Filtering and extracting data about companies from https://www.dnb.com. Easily filtering results by different criteria such as revenue minimum, number of employees minimum, located in different countries, etc.

You can access the DNB Companies Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchTerm": "Apple",
10    "proxyConfiguration": {
11        "useApifyProxy": True,
12        "apifyProxyGroups": ["RESIDENTIAL"],
13        "apifyProxyCountry": "US",
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("dtrungtin/dnb-companies-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

DNB Companies Scraper API in Python

The Apify API client for Python is the official library that allows you to use DNB Companies Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 6 monthly users

  • 2 stars

  • >99% runs succeeded

  • Created in Feb 2022

  • Modified 2 months ago

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