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

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

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:

1. 
   Headless browser — Playwright or Puppeteer to render JavaScript


2. 
   Proxy rotation — Crunchbase blocks datacenter IPs quickly


3. 
   Anti-detection — fingerprint management, human-like behavior


4. 
   Rate management — respectful pacing to avoid blocks

API vs Scraping: Side-by-Side

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:

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.