Build a B2B Prospect List in 30 Minutes with a LinkedIn Data API (Python)

Last updated: 2026-09-02 · AntsData LinkedIn data API

The goal

Turn "I need 200 prospects in fintech in Singapore" into a CSV-ready list — in 30 minutes, no manual LinkedIn clicking. A LinkedIn data API (pay-per-record, like AntsData) returns structured prospect data you can filter and export programmatically.

Step 1 — Get your token

Sign up at antsdata.com ($5 free trial), copy your Bearer token.

Step 2 — Pull target companies

import requests

API = "https://api.antsdata.com/v1"
headers = {"Authorization": "Bearer <YOUR_TOKEN>"}

# Company data for target accounts (hiring signals, size, industry)
for company_url in [
    "https://www.linkedin.com/company/acme-fintech",
    "https://www.linkedin.com/company/beta-bank",
]:
    r = requests.get(f"{API}/linkedin/company/{company_url}",
                      headers=headers, timeout=60)
    print(company_url.split("/")[-1], r.json().get("name"), r.json().get("size"))

Step 3 — Enrich with job signals

# Jobs per company — accounts that are hiring are accounts that buy
r = requests.get(f"{API}/linkedin/jobs/by-company",
                  params={"company": "Acme Fintech"},
                  headers=headers, timeout=60)
for job in r.json().get("jobs", [])[:10]:
    print(job.get("title"), "@", job.get("company"))

Step 4 — Assemble the list

import csv

rows = []  # company, job signal, notes
# ... combine API responses ...
with open("prospects.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerows(["company", "hiring_signal", "notes"])
    writer.writerows(rows)
print(f"✅ {len(rows)} prospects ready for your CRM/sequences")

What makes this work

• Pay per record — pull exactly what you need, no subscription
• Structured JSON — no HTML parsing
• Hiring signals — jobs data tells you who's investing (and buying)
• Speed — 30 minutes including the coffee

FAQ

How do I find target companies' LinkedIn URLs?

Search LinkedIn company pages, or use your CRM/ICP list — the API accepts company URLs or names.

Can I pull contact profiles too?

Yes — profile endpoints return title, location and company data for prospect lists.

Is 30 minutes realistic?

Yes — the pattern above is three API calls: companies, jobs, then assemble. Most time is deciding your ICP.

What if I need thousands of prospects?

Scale to thousands/day is the API's natural pattern — loop with rate-limit respect and pagination.

Do I need engineering skills?

Basic Python. If you don't code, a no-code tool + the API's JSON output also works.

Discussion

What's your ICP and how long does your current prospecting take? Try the 30-minute pattern and report back below.

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Product: antsdata.com — LinkedIn data API with $5 free trial. Contact: [e-mail].