What's Inside the Free Sample CSV

August 31, 2026

Every category in our directory offers a free, downloadable CSV sample. We believe in complete transparency before you consider ordering a custom dataset, so you can inspect data accuracy, coverage, and field structures firsthand.

Here is an exact, field-by-field breakdown of what you receive in every sample download.


The 17 Data Columns in Every Export

Each sample file is a standard UTF-8 CSV with a header row and 17 structured columns:

Column Name Type Description Sample Value
company Text Registered business name or DBA Apex Roofing Solutions LLC
street Text Physical commercial street address 1420 Commercial Way
city Text City municipality Sacramento
state Text (2-letter) US State postal code CA
zip Text (5-digit) US Postal ZIP code 95814
phone Text Main verified corporate phone line (916) 555-0192
website URL Verified company homepage URL https://apexroofing.com
business_email Email General or role-based company inbox [email protected]
contact_form URL Direct web contact or quote page https://apexroofing.com/contact
linkedin URL Official corporate LinkedIn profile https://linkedin.com/company/apex-roofing
facebook URL Official company Facebook page https://facebook.com/apexroofingca
instagram URL Official company Instagram account https://instagram.com/apexroofing
twitter URL Official company Twitter / X profile https://x.com/apexroofing
contact_title Text Executive or decision-maker role Owner / Managing Partner
contact_name Text Verified contact name (demo rows) David Miller
contact_email Email Direct decision-maker email (demo rows) [email protected]
profile_url URL Live permanent listing URL on our site https://getprospectlist.com/company/14820/apex-roofing

Contact Enrichment & Demo Verification

To protect personal privacy while validating data authenticity:

  • Unmasked Demo Rows: Each sample includes verified demo records with real executive names and direct emails. You can send test emails to verify deliverability and inbox placement before purchasing.
  • Masked Standard Rows: Remaining rows show masked email patterns (such as d.m****@domain.com) alongside executive job titles, confirming that verified contacts exist for those accounts.
  • Full Datasets: When you order a custom dataset, all verified contact names, direct emails, and executive phone extensions are delivered 100% unmasked.

Data Completeness & Digital Footprint

Real-world commercial data is not uniform. We score every listing based on 8 primary contact channels: website, business email, web contact form, LinkedIn, Facebook, Instagram, Twitter, and direct phone.

  • Top Tier (~8% of records): Complete digital footprint with 7 or 8 active contact channels.
  • Core Tier (~35% of records): Robust presence with 4 to 6 channels (typically phone, website, business email, and LinkedIn).
  • Baseline Tier (~57% of records): Local presence with 1 to 3 channels (primarily physical address and main phone line).

Deterministic Sampling: Our samples are drawn using a stable pseudo-random algorithm across the entire category. We never cherry-pick only the most complete profiles — what you see in the sample represents the true quality distribution of the database.


Limits & Download Security

Fair Use Policy:

  • Daily Allowance: Up to 3 free samples per registered account per 24-hour period.
  • Instant Delivery: Download links appear in your Account dashboard as soon as the background export finishes (usually under 30 seconds).
  • Security: Each link is cryptographically tied to your authenticated account, works once, and expires after 7 days. Links cannot be shared or forwarded.

Opening and Inspecting the File

Every sample includes a standard UTF-8 Byte Order Mark (BOM). This ensures that Microsoft Excel, Google Sheets, and Apple Numbers open the file cleanly with proper columns and character formatting without requiring import wizards.

Inspecting with Python (Pandas)

import pandas as pd

# Load sample dataset
df = pd.read_csv('prospectlist-roofing-contractors-sample.csv')

# Inspect total records and available contact channels
print(f"Total companies: {len(df)}")
print(f"Companies with website: {df['website'].notna().sum()}")
print(f"Companies with business email: {df['business_email'].notna().sum()}")
print(f"Companies with social profiles: {df['linkedin'].notna().sum()}")

Ready for the Full Dataset?

If you need a complete dataset filtered by specific states, cities, employee counts, or revenue bands:

  • Download Samples: Explore categories in our Free Sample Directory.
  • Order Custom: Need specific geographic targets, custom CSV column orders, or enriched data files? Submit your requirements through our Custom Dataset Builder for a same-day quote.