Is it legal to scrape ZoomInfo companies?

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

How much does it cost to scrape ZoomInfo 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 ZoomInfo companies?

The ZoomInfo Companies scraper returns 26 structured fields including url, id, name, description, revenue, revenue_currency, and more. See the full data dictionary below for all available fields.

How fast is ZoomInfo 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 ZoomInfo 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.

ZoomInfo

How to Scrape ZoomInfo Companies

Extract companies data from ZoomInfo at scale

Step-by-step guide

Choose your ZoomInfo companies scraper

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

Provide your ZoomInfo input URLs

Paste the ZoomInfo 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 26 structured fields like url, id, name, description, 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

26 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

ACoAABcXYZ123

Name

Sarah Chen

Description

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

Revenue

1,000

Revenue Currency

sample_revenue_currency

Revenue Text

sample_revenue_text

Stock Symbol

sample_stock_symbol

Founded Year

1,000

Website

https://stripe.com

Linkedin Url

sample_linkedin_url

Phone

(415) 555-0198

Address

600 Guerrero St, San Francisco, CA 94110

City

San Francisco

State

sample_state

Country

sample_country

Zip Code

sample_zip_code

Industry

Software Development

Sub Industry

sample_sub_industry

Social Media

sample_social_media

Business Classification Codes

sample_business_classification_codes

Ceo

sample_ceo

Total Employees

1,000

C Level Employees

sample_c_level_employees

Technologies

sample_technologies

Input Url

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

Data Dictionary

26 fields returned per record

The company's ZoomInfo profile link (100.00% fill rate)

Unique identifier for the company in the dataset (100.00% fill rate)

The official name of the company (14.77% fill rate)

A brief overview of the company's history, services, or products (92.51% fill rate)

The company's total revenue (14.77% fill rate)

The currency used for the revenue figures (14.77% fill rate)

Revenue as display text (14.77% fill rate)

The company's stock ticker symbol (5.41% fill rate)

Year the company was founded (8.23% fill rate)

The company's official website URL (14.76% fill rate)

The company's LinkedIn profile URL (13.14% fill rate)

Primary phone number for the company (14.62% fill rate)

The company's headquarters address (14.71% fill rate)

City where the company is headquartered (14.71% fill rate)

State/region where the company is headquartered (10.37% fill rate)

Country where the company is headquartered (14.76% fill rate)

Postal code of the company headquarters (9.82% fill rate)

The primary industry the company operates in (14.76% fill rate)

More specific sub-industry classification (14.63% fill rate)

Social media profiles for the company (13.71% fill rate)

Sub-fields

twitterTextTwitter/X profile URL

facebookTextFacebook page URL

linkedinTextLinkedIn company URL

Business classification codes (SIC, NAICS, etc.) (14.76% fill rate)

Sub-fields

code_typeTextType of classification code

codeTextThe classification code value

Name and title of the company's CEO (100.00% fill rate)

Sub-fields

nameTextCEO name

titleTextCEO title

scoreNumberProfile completeness score

urlTextCEO ZoomInfo profile URL

Total number of employees in the company (9.17% fill rate)

C-level executives at the company (14.77% fill rate)

Sub-fields

nameTextExecutive name

titleTextExecutive title

urlTextExecutive ZoomInfo profile URL

Technologies used by the company (14.76% 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 ZoomInfo Companies

Ready to scrape ZoomInfo?

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

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