# Berks County PA UCC Filings: Debtors, Lenders & Liens (`lienintel/berks-county-pa-ucc-filings`) Actor

Search Berks County, Pennsylvania recorded UCC filings by debtor or secured party. Get financing statements, continuations, amendments, assignments and terminations with parties, dates, document numbers, parcels and legal descriptions in clean JSON.

- **URL**: https://apify.com/lienintel/berks-county-pa-ucc-filings.md
- **Developed by:** [LienIntel - UCC & Secured Lending Intelligence.](https://apify.com/lienintel) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

[![Berks County PA UCC Filings: Debtors, Lenders & Liens](https://scrapers.lat/banners/berks-county-pa-ucc-filings.png)](https://console.apify.com/actors/oD7diUPfuyHkhygMr/input)

## Berks County PA UCC Filings: Debtors, Lenders & Liens

Search recorded **UCC filings in Berks County, Pennsylvania:** Reading, Wyomissing, Pottstown-area townships, Kutztown, Boyertown and the rest of the county, by debtor or secured-party name. Get the parties, filing type, recording date, document number, property address, parcel and legal description as flat rows.

Berks County's Recorder of Deeds publishes an online index of recorded UCC financing statements, continuations, amendments, assignments, corrections and terminations. This actor turns that public index into structured rows you can load into a CRM, a spreadsheet, a skip-trace or a credit workflow.

Here is one real record from this actor. `source_page`, `source_url` are left out of this example and included in your dataset.

```json
{
  "record_id": "2020025984",
  "document_number": "2020025984",
  "instrument_number": "2020025984",
  "doc_type": "UCC - FINANCING STATEMENT",
  "doc_type_code": "UCCF",
  "doc_group": "UCC",
  "filing_type": "ucc_initial",
  "filing_type_label": "UCC financing statement (initial)",
  "lien_category": "ucc",
  "lien_category_label": "UCC / secured interest",
  "is_release": false,
  "recorded_date": "2020-08-03",
  "recorded_time": "2:42 PM",
  "debtor_name": "MULBERRY ACQUISITION PARTNERS LLC",
  "debtor_names": "MULBERRY ACQUISITION PARTNERS LLC",
  "debtor_count": 1,
  "secured_party_name": "PENN COMMUNITY BANK",
  "secured_party_names": "PENN COMMUNITY BANK",
  "secured_party_count": 1,
  "grantor_name": "MULBERRY ACQUISITION PARTNERS LLC",
  "grantor_names": "MULBERRY ACQUISITION PARTNERS LLC",
  "grantee_name": "PENN COMMUNITY BANK",
  "grantee_names": "PENN COMMUNITY BANK",
  "party_direction": "grantor_debtor",
  "property_address": "3543 RIDGEWAY ST; 501 BUTTER LN",
  "parcel_numbers": "57531917004930; 43532605293234",
  "legal_description": "LAURELDALE BOROUGH, PIN: 57531917004930 | EXETER TOWNSHIP, PIN: 43532605293234",
  "municipality": "LAURELDALE BOROUGH; EXETER TOWNSHIP",
  "subdivision": null,
  "lot": null,
  "book": null,
  "volume": null,
  "page": null,
  "book_volume_page": null,
  "page_count": 6,
  "parties_truncated": false,
  "county": "Berks",
  "state": "PA",
  "source": "Berks County Recorder of Deeds (Pennsylvania)",
  "search_role": "party",
  "search_term": "PENN COMMUNITY BANK",
  "search_terms": "types=ucc_initial,continuation,amendment,assignment,correction,termination; role=grantee; 2020-01-01..2026-10-21",
  "observed_at": "2026-10-21T06:10:02.706Z"
}
```

**[Input](https://apify.com/lienintel/berks-county-pa-ucc-filings/input-schema) | [Output](https://apify.com/lienintel/berks-county-pa-ucc-filings/output-schema) | [Pricing](https://apify.com/lienintel/berks-county-pa-ucc-filings/pricing)**

![Coverage](https://img.shields.io/badge/Coverage-Berks%20County%2C%20Pennsylvania-blue)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)
![Billing](https://img.shields.io/badge/Billing-Pay%20per%20result-brightgreen)

### Table of contents

- [What you get](#what-you-get)
- [Input and filters](#input-and-filters)
- [Use cases](#use-cases)
- [Coverage and freshness](#coverage-and-freshness)
- [Pricing](#pricing)
- [Comparison with other Apify actors](#comparison-with-other-apify-actors)
- [Related LienIntel actors](#related-lienintel-actors)
- [FAQ](#faq)
- [Run it through the Apify API](#run-it-through-the-apify-api)

### What you get

- **Debtor and secured-party parties:** every grantor and grantee on the filing, plus derived `debtor_name` and `secured_party_name` fields with an honest `party_direction` flag.
- **Correct party direction:** initial filings, continuations and corrections index the debtor as grantor; terminations are filed by the secured party, so the debtor is the grantee; assignments transfer the secured-party position and name no debtor; amendments are flagged `mixed` rather than guessed.
- **Filing type:** `ucc_initial`, `continuation`, `amendment`, `assignment`, `correction` or `termination`, alongside the recorder's own document type and code.
- **Recording date and time:** normalized to `YYYY-MM-DD` plus the published time.
- **Document number:** the recorder's document/instrument number for verification and cross-reference.
- **Property context:** property address, municipality or township, subdivision, lot and parcel identifiers.
- **Release flag:** terminations are marked so you can separate new liens from payoffs.
- **Source traceability:** source, source page, search term and observation timestamp on every row.

Each record can carry these 46 fields. A field the source does not publish for a record comes back as `null`.

| Field | Type | Description |
|---|---|---|
| `record_id` | string | County document number, used as the unique record key |
| `document_number` | string | Recorded document number |
| `instrument_number` | string | Instrument number assigned by the recorder |
| `doc_type` | string | County document type, for example UCC - FINANCING STATEMENT |
| `doc_type_code` | string | County document type code: UCCF, UCCN, UCAM, UCAS, UCCO or UCCT |
| `doc_group` | string | County document group, normally UCC |
| `filing_type` | string | Normalized filing type: ucc_initial, continuation, amendment, assignment, correction or termination |
| `filing_type_label` | string | Human-readable filing type label |
| `lien_category` | string | Normalized category; always ucc for this actor |
| `lien_category_label` | string | Human-readable category label |
| `is_release` | boolean | True for UCC terminations |
| `recorded_date` | string | Recording date in YYYY-MM-DD format |
| `recorded_time` | string | Recording time as published, when present |
| `debtor_name` | string | Primary debtor name when the instrument's party direction identifies a debtor; null for assignments and mixed amendments |
| `debtor_names` | string | All debtor names, joined with semicolons; null when no debtor is inferred |
| `debtor_count` | integer | Number of debtor names |
| `secured_party_name` | string | Primary secured party, lender or assignee name when identifiable |
| `secured_party_names` | string | All secured party names, joined with semicolons; null for mixed amendments |
| `secured_party_count` | integer | Number of secured party names |
| `grantor_name` | string | Primary grantor exactly as the recorder indexed it |
| `grantor_names` | string | All grantors, joined with semicolons |
| `grantee_name` | string | Primary grantee exactly as the recorder indexed it |
| `grantee_names` | string | All grantees, joined with semicolons |
| `party_direction` | string | Party direction for the instrument: grantor_debtor (initial, continuation, correction), grantee_debtor (termination), secured_party_transfer (assignment, assignor to assignee) or mixed (amendment, debtor not inferred) |
| `property_address` | string | Property addresses on the filing, joined with semicolons |
| `parcel_numbers` | string | Parcel or tax identification numbers, joined with semicolons |
| `legal_description` | string | Legal description, joined with a pipe |
| `municipality` | string | Municipality, township or city from the legal description |
| `subdivision` | string | Subdivision or condominium name |
| `lot` | string | Lot or unit number, or a low-high range |
| `book` | string | Book number, when the county uses book/page |
| `volume` | string | Volume number, when the county uses book/page |
| `page` | string | Page number, when the county uses book/page |
| `book_volume_page` | string | Raw volume/book/page string |
| `page_count` | integer | Number of pages in the recorded document |
| `parties_truncated` | boolean | True when the county truncates a long party list |
| `county` | string | County; always Berks |
| `state` | string | US state; always PA |
| `source` | string | Public source name |
| `source_page` | string | Public search page |
| `source_url` | string | Public source URL |
| `search_role` | string | How the record matched: party, document_number or new_filings |
| `search_term` | string | Party name or document number that matched this record |
| `search_terms` | string | Filters used for the run |
| `observed_at` | string | Timestamp when the record was observed |
| `error` | string | Error message when no records were returned or the run failed; error records are not charged |

### Input and filters

All inputs are optional.

| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| `partyNames` | array | no | (none) | Names to search, up to 20. Partial names are supported, for example SMITH, GOODLEAP or PENN COMMUNITY BANK. Each name is searched separately and results are deduplicated. |
| `partyRole` | string | no | `"any"` | Match the name as grantor (debtor), grantee (secured party), or either side. Values: `any`, `grantor`, `grantee`. |
| `documentNumbers` | array | no | (none) | Optional recorder document or instrument numbers, up to 20. Use this to verify a known filing. |
| `filingTypes` | array | no | (none) | UCC filing families to include. Leave empty for all. Allowed values: ucc_initial, continuation, amendment, assignment, correction, termination. |
| `dateFrom` | string | no | (none) | Earliest recorded date in YYYY-MM-DD format. Leave empty for the last 30 days when no search term is given, or the last 10 years when searching by name or document number. |
| `dateTo` | string | no | (none) | Latest recorded date in YYYY-MM-DD format. Leave empty for today. |
| `maxFilings` | integer | no | `25` | Maximum number of unique recorded UCC filings to return and charge. Free Apify users receive up to 10 results per run. |

A working example to paste into the Input tab:

```json
{
  "partyNames": [
    "PENN COMMUNITY BANK"
  ],
  "partyRole": "grantee",
  "dateFrom": "2020-01-01",
  "maxFilings": 5
}
```

### Use cases

- Search Reading and Berks County debtors for UCC history, with each document's number, type and recording date.
- **MCA and ISO brokers:** find businesses with new secured filings and identify the incumbent funder.
- **Equipment finance, factoring and commercial lenders:** monitor competitor lending and new borrower activity.
- **Credit, collections and recovery teams:** spot new secured positions and terminations.
- **Solar, HVAC and home-improvement finance teams:** county-recorded UCC fixture filings show installed-equipment financing and the lender behind it.

### Coverage and freshness

- **Jurisdiction:** Berks County, Pennsylvania (Reading, Wyomissing, Shillington, Kutztown, Boyertown, Hamburg, Fleetwood, Amity, Exeter, Spring and the rest of the county).
- **Records:** UCC financing statements (`UCCF`), continuations (`UCCN`), amendments (`UCAM`), assignments (`UCAS`), corrections (`UCCO`) and terminations (`UCCT`).
- The recorder posts recordings in batches, so the most recent days may not yet appear. Use the recorded-date range that fits your use case.
- **Not included:** deeds, mortgages, satisfactions, plats, charters, storm-water notices and other non-UCC instruments.
- **Not included:** state-level Pennsylvania UCC filings. General UCC filings are made with the Pennsylvania Department of State; this actor covers the county recorder's UCC index, which is where real-property fixture filings and related UCC records are recorded.

### Pricing

This actor uses pay-per-event pricing. These are the current Apify prices, read on 2026-11-06.

| Event | Price | When it is charged |
|---|---|---|
| `result` | $0.015 | Each record delivered to your dataset |
| `apify-actor-start` | $0.003 | When a run starts, once per GB of run memory with a minimum of one |

At the default 512 MB, a run that delivers 100 records costs $1.503.

- Apify asks for a maximum spend of at least $0.018 per run on this actor.
- Accounts on the free Apify plan receive up to 10 results per run.
- If nothing matches or the source fails, you get one row with an `error` field and no `result` charge. The start event still applies to the run.
- Set a maximum cost per run and the actor stops delivering results when it reaches that limit.

### Comparison with other Apify actors

No dedicated actor for this source on the Apify Store as of November 2026. We searched the public Store on 2026-11-06 with queries including "Berks County Pennsylvania lien", "Berks County recorder" and "Berks County ucc", and we reviewed the listings for this source and data type. Broader actors exist: `shelvick/property-deed-records` searches deed and lien records from county recorder indexes. Their listings do not name this source, so we could not confirm that they cover it. Store listings change, so run the same search before you rely on this.

### Related LienIntel actors

Other public LienIntel actors for the same buyer:

- [Allegheny County PA UCC Filings: Debtors & Secured Parties](https://apify.com/lienintel/allegheny-county-pa-ucc-filings): county recorded liens and UCC filings in Pennsylvania
- [Delaware County PA UCC Filings: Debtors, Lenders & Liens](https://apify.com/lienintel/delaware-county-pa-ucc-filings): county recorded liens and UCC filings in Pennsylvania
- [Allegheny County PA Tax Liens: Dockets, Amounts & Assignees](https://apify.com/lienintel/allegheny-county-pa-tax-liens): delinquent property tax records in Pennsylvania
- [Alaska Recorder UCC & Lien Filings: Debtors & Lenders](https://apify.com/lienintel/alaska-recorder-ucc-lien-filings): county recorded liens and UCC filings in Alaska

### FAQ

**Is this a statewide Pennsylvania UCC search?**

No. It is the Berks County Recorder of Deeds index. For statewide general UCC filings, search the Pennsylvania Department of State.

**Does it include debtor and lender names?**

Yes. Every filing returns all indexed grantors and grantees, plus derived primary names and counts. Check `party_direction` to see which side is the debtor: `grantor_debtor`, `grantee_debtor`, `secured_party_transfer` (assignment) or `mixed` (amendment, where no debtor is inferred).

**Can I search by lender?**

Yes. Set `partyRole` to `grantee` and enter the lender name, for example `PENN COMMUNITY BANK` or `GOODLEAP`.

**Can I monitor new filings?**

Yes. Leave the names empty and set a date range; the actor returns the most recent UCC recordings in that window.

**Are terminations included?**

Yes, and `is_release` is `true` for UCC terminations so you can filter them in or out.

**Is the data FCRA-compliant for credit decisions?**

No. This is public-record research and workflow data, not a consumer credit report.

**Does it return the document image?**

No. You get the indexed data for each recording, along with the document number you need to order a copy from the recording office.

### Run it through the Apify API

Replace `<TOKEN>` with your Apify API token.

```bash
curl -X POST "https://api.apify.com/v2/acts/lienintel~berks-county-pa-ucc-filings/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"partyNames": ["PENN COMMUNITY BANK"], "partyRole": "grantee", "dateFrom": "2020-01-01", "maxFilings": 5}'
```

With the Apify CLI:

```bash
apify call lienintel/berks-county-pa-ucc-filings --input '{"partyNames": ["PENN COMMUNITY BANK"], "partyRole": "grantee", "dateFrom": "2020-01-01", "maxFilings": 5}'
```

Every run writes to a dataset that you can export as JSON, CSV or Excel from the Storage tab or through the Apify API.

***

*LienIntel is an independent data provider and is not affiliated with any government office named on this page. Records are public and are provided for research and workflow automation. This is not a certified search and not a consumer report under the FCRA.*

# Actor input Schema

## `partyNames` (type: `array`):

Names to search, up to 20. Partial names are supported, for example SMITH, GOODLEAP or PENN COMMUNITY BANK. Each name is searched separately and results are deduplicated.

## `partyRole` (type: `string`):

Match the name as grantor (debtor), grantee (secured party), or either side.

## `documentNumbers` (type: `array`):

Optional recorder document or instrument numbers, up to 20. Use this to verify a known filing.

## `filingTypes` (type: `array`):

UCC filing families to include. Leave empty for all. Allowed values: ucc_initial, continuation, amendment, assignment, correction, termination.

## `dateFrom` (type: `string`):

Earliest recorded date in YYYY-MM-DD format. Leave empty for the last 30 days in browse mode, or the last 10 years when searching by name or document number.

## `dateTo` (type: `string`):

Latest recorded date in YYYY-MM-DD format. Leave empty for today.

## `maxFilings` (type: `integer`):

Maximum number of unique recorded UCC filings to return and charge. Free Apify users receive up to 10 results per run.

## Actor input object example

```json
{
  "partyRole": "any",
  "maxFilings": 25
}
```

# Actor output Schema

## `results` (type: `string`):

One row per recorded Berks County UCC filing with debtor and secured-party names, filing type, dates, document numbers, property addresses, parcels and legal descriptions.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lienintel/berks-county-pa-ucc-filings").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("lienintel/berks-county-pa-ucc-filings").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call lienintel/berks-county-pa-ucc-filings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lienintel/berks-county-pa-ucc-filings"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oD7diUPfuyHkhygMr/builds/rvq1KCWFIT1fZ5tT1/openapi.json