Crunchbase API in 2026: Free Tier Gone — What Startup Data Hunters Do Now

#api #javascript #python #webdev

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	$0 Removed	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
LinkedIn	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.