Is it legal to scrape PitchBook companies?

Scrapernode only collects publicly available data from PitchBook. We comply with applicable laws and platform terms. Our infrastructure handles rate limiting and respectful crawling automatically.

How much does it cost to scrape PitchBook companies?

Each companies record costs 2 credits. Credits start at $9 for 3,000 credits (Starter plan). Volume discounts are available — the Scale plan offers 100,000 credits for $149.

What data fields are included when scraping PitchBook companies?

The PitchBook Companies scraper returns 19 structured fields including url, id, company_name, company_socials, year_founded, status, and more. See the full data dictionary below for all available fields.

How fast is PitchBook companies scraping?

Fresh scrapes typically complete in under 60 seconds per batch of URLs. Quick Lookups return pre-collected data instantly. For bulk operations, you can submit thousands of URLs in a single job.

Can I automate PitchBook scraping?

Yes. Scrapernode offers a REST API, webhooks, and native integrations with n8n, Make, and Zapier. You can schedule recurring scrapes or trigger them from your own applications.

PitchBook

How to Scrape PitchBook Companies

Extract companies data from PitchBook at scale

Step-by-step guide

Choose your PitchBook companies scraper

Navigate to the PitchBook Companies scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 2 credits.

Provide your PitchBook input URLs

Paste the PitchBook URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.

Launch your scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 19 structured fields like url, id, company_name, company_socials, and more.

Automate with webhooks or API

Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.

Cost per record

2 credits

Output fields

19 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

ACoAABcXYZ123

Company Name

Notion Labs, Inc.

Company Socials

sample_company_socials

Year Founded

1,000

Status

sample_status

Primary Industry

sample_primary_industry

Keywords

sample_keywords

Employees

Array [2]

Object {2}

name:"Lisa Su"

role:"CEO"

Object {2}

name:"Mark Papermaster"

role:"CTO"

Location

San Francisco, CA

Description

Enterprise-grade data pipeline platform with real-time processing and 99.99% uptime SLA.

Contact Information

sample_contact_information

Patents

Array [1]

Object {2}

title:"Distributed Payment Processing System"

date_issued:"2023"

Investors

Sequoia Capitala16zIndex Ventures

Funding Rounds

sample_funding_rounds

Total Funding

sample_total_funding

Valuation

sample_valuation

Website

https://stripe.com

Input Url

https://www.linkedin.com/in/sarahchen

Data Dictionary

19 fields returned per record

URL of the company in PitchBook (100.00% fill rate)

Unique identifier for the company (100.00% fill rate)

Name of the company (100.00% fill rate)

Social media links for the company (53.52% fill rate)

Sub-fields

linkTextSocial media URL

domainTextSocial media platform domain

Year the company was founded (76.20% fill rate)

Ownership status (Private, Public, etc.) (95.75% fill rate)

Primary industry of the company (94.41% fill rate)

Keywords describing the company (82.13% fill rate)

Number of employees (range or exact) (82.14% fill rate)

Headquarters location (91.23% fill rate)

Brief description of the company's offerings and purpose (99.17% fill rate)

Contact information for the company (100.00% fill rate)

Sub-fields

TypeTextType of contact (phone, email, etc.)

valueTextContact value

linkTextLink to the contact

Patents associated with the company (10.41% fill rate)

Sub-fields

typeTextPatent type

valueTextPatent number/value

linkTextLink to patent

Investors in the company (49.82% fill rate)

Sub-fields

nameTextInvestor name

urlTextInvestor PitchBook profile URL

typeTextInvestor type (VC, PE, Angel, etc.)

Funding rounds the company has received (44.31% fill rate)

Sub-fields

dateTextDate of the funding round

round_typeTextType of funding round (Seed, Series A, etc.)

amountNumberAmount raised in the round

currencyTextCurrency of the funding amount

Total funding raised by the company (44.31% fill rate)

Company valuation (12.34% fill rate)

Company official website (78.45% fill rate)

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape PitchBook Companies

Ready to scrape PitchBook?

Start extracting pitchbook companies data in minutes. No code required — just paste your URLs and go.

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