A high-accuracy Crunchbase scraper designed to extract company, people, investor, and acquisition data directly from Crunchbase search results. This tool streamlines data collection for research, lead generation, and business intelligence workflows. With a 99% success rate, it delivers clean, structured Crunchbase data at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Ultimate Crunchbase Search Scraper automates data extraction from Crunchbase search result pages, allowing users to gather comprehensive details about organizations, people, funding, investors, and more. It eliminates manual browsing and copy-pasting by transforming search URLs into structured datasets. Ideal for analysts, growth teams, researchers, and data-driven companies.
- Capture large volumes of Crunchbase data quickly and reliably.
- Extract consistent, machine-readable results for analytics or enrichment.
- Reduce manual effort for prospecting or competitive research.
- Gain access to detailed company, investor, and people attributes.
- Integrate the data into your workflows or automation pipelines.
| Feature | Description |
|---|---|
| People Search Scraping | Extract detailed profiles including roles, social links, education, and ranking. |
| Company Search Scraping | Capture rich company metadata such as funding, categories, employees, and web presence. |
| Investor & Funding Scraping | Collect investor types, investment counts, diversity spotlight metrics, and more. |
| Acquisition Data Extraction | Retrieve acquisition events with pricing, dates, and identifiers. |
| Event, School & Hub Scraping | Gather additional datasets such as school programs, events, and hubs. |
| API-Friendly Output | All results structured for seamless export to JSON, CSV, or spreadsheets. |
| Field Name | Field Description |
|---|---|
| Identifier | Unique Crunchbase entity ID. |
| Num Employees Enum | Employee count range for organizations. |
| Categories | Business categories and market segments. |
| Location Identifiers | Country, city, and region metadata. |
| Social Profiles | Twitter, Facebook, LinkedIn links. |
| Contact Info | Email and phone details (when available). |
| Funding Fields | Rounds, totals, stages, investors, lead investors. |
| Acquisition Fields | Pricing, dates, acquirer, terms, and status. |
| IPO Fields | Went public date, valuation, exchange symbol. |
| SEMrush Metrics | Traffic, visits, bounce rate, rankings. |
| BuiltWith, Apptopia, IPqwery | Tech stack, apps, patents, trademarks. |
| People Data | Education, roles, organizations, rankings, gender. |
| Event Metrics | Participation counts and ranking deltas. |
[
{
"identifier": "org_12345",
"name": "ExampleCorp",
"categories": ["FinTech", "Payments"],
"location": "San Francisco, CA",
"website": "https://example.com",
"linkedin": "https://linkedin.com/company/example",
"numEmployees": "101-250",
"fundingTotal": 56000000,
"numInvestors": 12,
"numFundingRounds": 4,
"lastFundingType": "Series B"
}
]
Ultimate Crunchbase Search Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── company_parser.py
│ │ ├── people_parser.py
│ │ ├── investor_parser.py
│ │ └── utils_normalization.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Sales teams use it to collect verified company and people data so they can build targeted outreach lists.
- Researchers extract startup and funding datasets so they can analyze market trends and innovation clusters.
- Investors scrape organization profiles to quickly evaluate deal flow and competitor landscapes.
- Business intelligence teams automate data ingestion for dashboards and internal analytics.
- Recruiters gather candidate and founder info to identify high-value prospects.
Q: What types of Crunchbase data can this scraper extract? A: It supports companies, people, investors, acquisitions, events, hubs, schools, funding rounds, SEMrush metrics, social links, and more.
Q: Does the scraper return structured output? A: Yes, all fields are normalized into JSON-like objects suitable for exporting to CSV, XLSX, or databases.
Q: Can I scrape multiple search result pages? A: Yes, you can provide multiple search URLs, and the scraper processes them sequentially or in bulk.
Q: Are advanced metrics like SEO or tech stack included? A: Yes, fields like SEMrush analytics, BuiltWith technologies, Apptopia data, IPqwery patents, and trademarks are included when available.
Primary Metric: Processes an average of 500–700 Crunchbase records per minute, depending on depth and metadata density.
Reliability Metric: Sustains a 99%+ extraction success rate across diverse search result types.
Efficiency Metric: Optimized batching allows consistent throughput with low retry overhead.
Quality Metric: Achieves high field completeness for company, people, and investor datasets, with precise normalization of numeric and categorical fields.
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