Crunchbase API: The Free Tier Is Dead
If you’re a developer who used Crunchbase’s free API tier for startup research, funding data, or market analysis — it’s gone. As of 2025, Crunchbase eliminated free API access entirely. The cheapest plan now starts at $49/month (Basic), with the full-featured API requiring the Pro plan at $99/month.
For indie developers, researchers, and early-stage startups who need startup ecosystem data, this pricing change fundamentally changes the equation.
Crunchbase API Pricing in 2026
| Plan | Price | API Access | Daily Limit | Data Available |
|---|---|---|---|---|
| Free |
|
No | — | — |
| Basic | $49/mo | Limited | 200 calls/min | Basic company data |
| Pro | $99/mo | Full | 200 calls/min | Full dataset + exports |
| Enterprise | Custom | Full | Custom | Everything + support |
What $49/Month Gets You
import requests
CB_API_KEY = "your_api_key_here"
def search_companies(query, limit=25):
url = "https://api.crunchbase.com/api/v4/searches/organizations"
headers = {"X-cb-user-key": CB_API_KEY}
payload = {
"field_ids": ["identifier", "short_description", "funding_total",
"num_funding_rounds", "founded_on"],
"query": [{"type": "predicate",
"field_id": "identifier",
"operator_id": "contains",
"values": [query]}],
"limit": limit
}
resp = requests.post(url, json=payload, headers=headers)
return resp.json()
results = search_companies("ai agent")
for entity in results.get("entities", []):
props = entity["properties"]
funding = props.get("funding_total", {}).get("value_usd", 0)
print(f"{props['identifier']['value']} — ${funding:,.0f} raised")
The data quality is excellent. But $588-$1,188/year is a hard sell for individual developers or side projects.
What You Lose Without Crunchbase API
Crunchbase’s dataset is uniquely valuable:
- Funding rounds — who invested, how much, what stage
- Company profiles — founding date, team size, location, categories
- Acquisition data — who bought whom and for how much
- People data — founders, executives, board members
- Market maps — companies by category and geography
No other single source combines all of this. But paying $49+/month for a data project that may or may not produce value? That’s a tough startup cost.
The Web Scraping Alternative
Crunchbase’s company profiles are publicly accessible on the web. The data displayed on their website is the same data behind the API:
import requests
from bs4 import BeautifulSoup
def get_crunchbase_company(company_slug):
url = f"https://www.crunchbase.com/organization/{company_slug}"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
}
resp = requests.get(url, headers=headers)
soup = BeautifulSoup(resp.text, "html.parser")
# Note: Crunchbase heavily uses JavaScript rendering
# Basic requests won’t get much — you need browser automation
title = soup.select_one("h1")
return {
"name": title.text.strip() if title else None,
"url": url
}
The challenge: Crunchbase is a React single-page application. Most data loads dynamically via JavaScript, which means simple HTTP requests won’t work. You need:
- Headless browser — Playwright or Puppeteer to render JavaScript
- Proxy rotation — Crunchbase blocks datacenter IPs quickly
- Anti-detection — fingerprint management, human-like behavior
- Rate management — respectful pacing to avoid blocks
API vs Scraping: Side-by-Side
| Feature | Crunchbase API ($49+/mo) | Web Scraping |
|---|---|---|
| Cost | $49-99/month | Infrastructure only |
| Access barrier | Credit card required | None |
| Data format | Clean JSON | Requires parsing |
| Company profiles | Full | Public data |
| Funding data | Detailed | As displayed |
| People/team data | Yes | Public profiles |
| Historical data | Full history | Limited to current |
| Bulk export | Pro plan only ($99/mo) | Unlimited |
| Rate limits | 200 calls/min | Self-managed |
| Setup complexity | Low (API keys) | High (browser automation) |
Scaling Crunchbase Data Collection
For production use, building Crunchbase scraping infrastructure from scratch is complex. The SPA rendering, anti-bot measures, and data structure changes require ongoing maintenance.
Managed scraping tools like this Crunchbase scraper on Apify handle the browser automation and proxy management:
from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("cryptosignals/crunchbase-scraper").call(
run_input={
"searchQuery": "artificial intelligence",
"location": "San Francisco",
"fundingStage": "Series A",
"maxResults": 200
}
)
for company in client.dataset(run["defaultDatasetId"]).iterate_items():
funding = company.get("totalFunding", 0)
print(f"{company['name']} — ${funding:,.0f} — {company.get('category')}")
Alternative Data Sources for Startup Research
If neither the API nor scraping fits your needs, consider these alternatives:
| Source | Cost | Strengths | Weaknesses |
|---|---|---|---|
| PitchBook | Enterprise ($$$) | Most comprehensive | Expensive |
| Dealroom | Free tier available | EU/startup focus | Limited US data |
| OpenVC | Free | VC-focused | Smaller dataset |
| Tracxn | Free tier available | Good coverage | Limited free access |
| Free (limited) | People data strong | No funding data | |
| AngelList/Wellfound | Free | Startup jobs + data | Limited API |
The Cost Comparison
Let’s do the math for a typical startup research project:
Crunchbase API (1 year):
Basic: $49 x 12 = $588/year
Pro: $99 x 12 = $1,188/year
Web scraping (Apify, typical usage):
Pay-per-result: ~$5-20/month for moderate use
Annual: $60-240/year
Savings: 60-90% depending on usage
The API wins on convenience and data structure. Scraping wins on cost and flexibility.
When to Use What
Use the Crunchbase API if:
- You have budget and need clean, reliable data
- You’re building a product where Crunchbase data is core
- You need historical funding data going back years
- You want zero maintenance overhead
Use web scraping if:
- You’re exploring and don’t want to commit $49+/month
- You need bulk data beyond API rate limits
- You’re combining data from multiple sources
- You need flexibility the API doesn’t offer
The Bottom Line
Crunchbase’s decision to remove the free tier makes business sense — their data is genuinely valuable and they’re entitled to charge for it. But it also means the barrier to entry for startup data access has gone from $0 to $588/year overnight.
For developers and researchers who need startup ecosystem data without the subscription commitment, web scraping provides a cost-effective alternative. The key is choosing the right approach for your specific use case and budget.
How do you source startup and funding data? Found a good Crunchbase alternative? Let me know in the comments.
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