Arkansas UCC Filings Scraper: Debtors, Lenders & Liens avatar

Arkansas UCC Filings Scraper: Debtors, Lenders & Liens

Pricing

from $30.00 / 1,000 results

Go to Apify Store
Arkansas UCC Filings Scraper: Debtors, Lenders & Liens

Arkansas UCC Filings Scraper: Debtors, Lenders & Liens

Search Arkansas UCC filings by debtor name, city or filing date. Get filing numbers, debtors, secured parties, dates, status and document chains. Export to JSON, CSV or Excel and pay per result.

Pricing

from $30.00 / 1,000 results

Rating

0.0

(0)

Developer

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

Share

Arkansas UCC Filings Scraper: New Liens & Debtors

Search Arkansas UCC filings by debtor name and turn them into clean lien records. Each row gives you the debtor, the secured party or lender, the filing number, the filing and lapse dates, the document type and the full amendment chain. It is built for MCA renewals, equipment finance, factoring, lender sales and pre-lending diligence. Filter by organization or individual debtor, city, filing date, lapse date, status and document type. Pay only for records delivered.

Input · Output · Pricing · Examples

What you get

Every record is flat, snake_case JSON with the fields a lending team actually uses.

  • Filing identity: filing_number, original_filing_number, document_number, filing_id, record_type_raw, filing_type, filing_category.
  • Dates and status: filing_date, filing_year, lapse_date, days_to_lapse, latest_filing_date, lien_status, is_lapsed.
  • Parties: debtor_name, debtor_type, debtor_names, secured_party_name, secured_party_type, secured_party_names.
  • Chain context: chain_filing_count, amendment_count, document_count, is_amendment, page_count.
  • Traceability: matched_name, matched_party_role, match_type, search_name, state, source, source_url, observed_at, confidence.

Arkansas publishes no debtor or secured party street address in the free index, and no collateral text. Those fields are returned as null or an empty array rather than guessed. City is used as a search filter but is not republished on the record.

Who is it for

  • MCA and alternative lenders monitoring new UCC-1 filings for renewal and stacking signals.
  • Equipment finance and leasing teams finding borrowers who just pledged equipment.
  • Factoring and invoice finance teams watching for new secured lenders on a debtor.
  • Commercial bankers and credit analysts running UCC diligence on a borrower.
  • Data and RevOps teams enriching CRM accounts with lien, lender and lapse data.

How to use it

  1. Enter one or more organization debtor names in debtorNames, or individual debtor names in individualDebtorNames.
  2. Optionally add a debtor city, a filing date window, a lapse date window or a status filter.
  3. Choose whether to include lapsed filings and amendment documents.
  4. Set maximum filings and run the Actor.
  5. Download the dataset as JSON, CSV or Excel, or read it through the Apify API.

Name matching on the source is a contains match, so a short root such as SMITH finds more records than a full legal name. Use a full name for precision and a root for coverage.

Example input

{
"debtorNames": ["SMITH"],
"includeLapsed": false,
"includeAmendments": true,
"maxFilings": 25
}

Example output

{
"filing_number": "98260955137",
"original_filing_number": "98260955137",
"filing_type": "UCC-1",
"filing_category": "initial",
"filing_date": "2026-10-15",
"lapse_date": "2031-10-15",
"lien_status": "active",
"debtor_name": "SMITH FULL THROTTLE MARINE LLC DBA, BACKLASH MARINE",
"debtor_type": "organization",
"secured_party_name": "GRAND SAVINGS BANK",
"secured_party_type": "organization",
"page_count": 1,
"chain_filing_count": 1,
"amendment_count": 0,
"state": "AR",
"confidence": 0.97
}

Fields omitted above for width are still present as null or empty arrays.

  • Search a list of portfolio companies for new UCC filings and route the rows to a CRM.
  • Pull every UCC-1 filed in Arkansas since the first of the month for a lender lead list.
  • Filter the secured party column after delivery to isolate one lender and alert the sales team.
  • Export amendment chains for collateral and lapse-date review.

Coverage and freshness

  • State: Arkansas.
  • Source: Arkansas Secretary of State public UCC index.
  • Records: original financing statements and their amendment, continuation, assignment and termination documents.
  • Freshness: the Actor reads the public index at run time. observed_at records exactly when each row was read.
  • Search modes: organization debtor, individual debtor, debtor city, filing date from, lapse date windows and status.
  • Not published: debtor addresses, secured party addresses and collateral text. The free index does not expose them, so the Actor returns null instead of a guess.

Free Apify users receive up to 10 records per run. Paid users can request up to 400.

Pricing

Pay per result. You are charged only for filing records that are delivered to the dataset. A run that finds no data returns one error record and charges no result event. The platform also applies its standard Actor start charge.

FAQ

Does this scrape the Arkansas Secretary of State? It reads the public UCC search that the Secretary of State publishes for Arkansas filers.

Can I search by secured party or lender name? The Arkansas public index searches by debtor name. Use debtorNames with the borrower or business name. The secured party is returned on every record so you can filter lenders after delivery.

Are addresses included? No. Arkansas does not publish debtor or secured party addresses in the free index. Those fields are documented as null.

Does it include amendments? Yes. Each amendment, continuation, assignment or termination is delivered as its own record and is linked to the original filing through original_filing_number. Set includeAmendments to false for originals only.

What happens when nothing matches? The run succeeds with one error record, error is populated, and no result event is charged.

Can I monitor new filings daily? Yes. Schedule the Actor with a filing date window and a saved input, then consume new rows from the dataset or the API.