How do I use an API instead of scraping for company data?

Using an API instead of scraping usually means you get company data from an official, structured source rather than parsing web pages.

Basic approach

1. Find a provider

   • Examples: Clearbit, Crunchbase, Apollo, ZoomInfo, People Data Labs, Companies House, OpenCorporates, SEC EDGAR, LinkedIn-approved partners, etc.
   • Choose based on what data you need:
     • company profile
     • employees
     • funding
     • financials
     • registration info
     • industry / size / location

2. Sign up and get an API key

   • Most APIs require authentication with:
     • API key
     • OAuth token
     • sometimes a secret + key pair

3. Read the docs

   • Look for:
     • endpoint URLs
     • required parameters
     • rate limits
     • response format
     • pagination
     • error codes

4. Make requests

   • Usually via HTTP GET or POST.
   • The API returns JSON, which is much easier to process than HTML.

5. Handle pagination and limits

   • Company datasets often return results in pages.
   • Respect rate limits to avoid being blocked.

6. Store and clean the data

   • Save results in a database, CSV, or data warehouse.
   • Normalize names, domains, addresses, etc.

---

Example in Python

import requests

api_key = "YOUR_API_KEY"
company_name = "OpenAI"

url = "https://api.example.com/v1/companies/search"
headers = {
    "Authorization": f"Bearer {api_key}"
}
params = {
    "name": company_name
}

response = requests.get(url, headers=headers, params=params)
data = response.json()

print(data)

---

Example with cURL

curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.example.com/v1/companies/search?name=OpenAI"

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If you were previously scraping, the workflow changes

Instead of:

• requesting web pages
• parsing HTML
• dealing with layout changes

You do:

• request structured endpoints
• parse JSON
• handle auth + rate limits

This is more reliable and usually more compliant with site terms.

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Things to watch for

• Terms of service: make sure the API allows your intended use.
• Coverage: some APIs have incomplete data for certain regions or industries.
• Costs: many company-data APIs are paid and priced by request or record.
• Data freshness: check how often the provider updates records.
• Compliance: if you’re using personal data about employees or contacts, consider privacy laws like GDPR/CCPA.

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Good practice

• Cache responses so you don’t re-query the same company repeatedly.
• Validate company identity using domain + legal name.
• Log errors and retries.
• Use backoff for 429 Too Many Requests.

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If you want, I can also show you:

1. a real API example for a specific provider, or
2. how to replace a scraping script with API calls in Python.