Lien Data: Examples, Providers & Datasets to Buy

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Eugenio Caterino
Editor & Data Industry Expert
Lien data captures legal claims on business or personal assets due to unpaid debts. It's a cornerstone of real estate due diligence but also financial risk management, and credit evaluation. On this page, you'll find the best datasets data providers offering lien data.
On This Page:
  • Overview
  • Datasets
  • Attributes
  • Guide
  • FAQ
On This Page:
  • Overview
  • Datasets
  • Attributes
  • Guide
  • FAQ

What Is Lien Data?

Lien data refers to official records of legal claims made against assets (real estate, vehicles, business property, or equipment) used as collateral for a debt. These claims, or liens, are registered by creditors to ensure repayment, and can block ownership transfers until satisfied.

This data is critical in B2B onboarding, underwriting, lending, legal risk assessments and more. Lien records can signal potential default risk, impact creditworthiness, and shape investment decisions.

What Are Examples of Lien Data?

Some examples of lien data include:

  • Federal Tax Lien Data: Information on unpaid taxes filed by the IRS, including assessment date, balance due, and lien refiling deadlines.
  • State & Local Tax Liens: Liens placed for unpaid state or municipal taxes.
  • UCC Filings (Business Liens): Commercial liens filed to secure interests in equipment, receivables, or inventory.
  • Property Liens: Mortgage liens, mechanics liens, and judgment liens against residential or commercial real estate.
  • Judgment Liens: Court-awarded debts converted into asset claims.
  • Lien Holder Information: Full identity of secured party (creditor).
  • Debtor Details: Legal entity names, addresses, and role in the transaction.

Best Lien Databases & Datasets

Here is our curated selection of top Lien Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of CompCurve

Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API | 25,000 New IRS Liens per Year

by CompCurve
5.0
USA
Free sample preview
API available
Starts at
$1,500$1,125 / month
Logo of Accutrend

Accutrend: B2B Business Wealth (UCC liens) Information for USA

by Accutrend
USA
Pricing available upon request
Logo of CrawlBee

Construction Data | Construction Projects Lead Data | USA | Land Use and Company | Contractor Lists

by CrawlBee
4.8
USA
Free sample preview
API available
Pricing available upon request
Logo of McGRAW

Mortgage Data, Property Data, Title Data, Ownership Data | Over 150 MM Records and 200 Attributes

by McGRAW
5.0
USA
Free sample preview
API available
Pricing available upon request
Logo of The Warren Group

US National Mortgage Assignments & Releases | 213M+ Records | Mortgage Rates Data & Property Owner Data

by The Warren Group
USA
Free sample preview
API available
Pricing available upon request
Logo of BatchService

Mortgage Data | USA Coverage | 74% Right Party Contact Rate | BatchData

by BatchService
USA
Free sample preview
API available
Starts at
$0.01 / API Call
Logo of BatchService

Property Data via API | USA Coverage | 74% Right Party Contact Rate | BatchData

by BatchService
USA
Free sample preview
API available
Starts at
$0.01 / API Call
Logo of Donuka

Donuka: Washington, D.C. Property Data

by Donuka
5.0
USA
API available
Starts at
$1$0.90 / record
Logo of BatchService

Residential Data via API | USA Coverage | 74% Right Party Contact Rate | BatchData

by BatchService
USA
Free sample preview
API available
Starts at
$0.01 / API Call
Logo of Donuka

Donuka: Florida Property & Owner Data

by Donuka
5.0
USA
API available
Starts at
$1$0.90

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Main Attributes of Lien Data

Lien datasets typically include these core fields:

  • Lien Type (Tax, Mortgage, Mechanic, Judgment)
  • Filing Date / Recording Date
  • Expiration / Refile Deadline
  • Debtor Legal Name and Address
  • Collateral Description (property, equipment, etc.)
  • Lien Amount & Unpaid Balance
  • Status (Active, Released, Satisfied)
  • Recording Jurisdiction (County/State)
  • Serial Number (e.g. IRS liens)
Attribute Type Description Action
Address String The address of a company or contact (street name, number, zip code, city, county, country). View 115 datasets
Neighborhood Name String The name of a neighborhood. View 111 datasets
City District Name String The name of a city district. View 109 datasets
Land Type String The type of land, e.g. agricultural, commercial, recreational, residential, or transport. View 109 datasets
Land Zoning String The land zoning type. View 109 datasets
Latitude Float The latitude of a point on earth's surface. Commonly abbreviated as "lat". View 7 datasets

Why Is Lien Data Important?

Verify Business Viability
Knowing whether a company has active liens can signal its ability (or inability) to meet obligations. This is crucial in B2B deals, especially in supply chain partnerships, franchise vetting, or M&A due diligence.

Avoid Encumbered Assets

Before acquiring property, machinery, or inventory, buyers must ensure that the assets aren’t claimed by third-party creditors. Lien data enables clean transfers of ownership.

Enhance Credit Modeling

Credit models that incorporate lien data—especially federal and tax liens—outperform traditional models by identifying liabilities and distressed conditions early.

Improve Investment Outcomes

Real estate investors and tax lien buyers use this data to identify undervalued assets, understand potential claim hierarchies, and structure competitive bids.

Judgment liens and UCC filings flag businesses under litigation or whose assets are encumbered. Lien history informs legal strategy, contract terms, or asset recovery options.

How Is Lien Data Collected?

Lien data is collected from:

  • County Recorder’s Offices: For property-related liens like mortgages and mechanics liens.
  • Secretary of State Offices: For UCC and corporate lien filings.
  • Courts & Public Records: For judgment liens and bankruptcy filings.
  • Data Providers: Aggregated, standardized datasets available via APIs or bulk delivery.

Frequently Asked Questions

How is the Quality of Lien Data Maintained?

The quality of Lien Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Lien Data Updated?

The update frequency for Lien Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Lien Data Secure?

The security of Lien Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Lien Data Delivered?

Lien Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Lien Data.

How Much Does Lien Data Cost?

The cost of Lien Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Lien Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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