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API Documentation

Search and retrieve Florida business filing data programmatically

Overview

The Sunbiz Daily API provides read-only access to the full Florida business filing record across three datasets, each its own resource:

ResourceWhat it isRecordsEndpoint
Corporate filings Corporations & LLCs 13,004,621 /api/v2/filings/
Fictitious names DBA registrations 796,323 /api/v2/fictitious-names/
Partnerships General partnerships 31,274 /api/v2/partnerships/

Record counts as of October 15, 2026.

This is the complete Florida business registry — every corporation, LLC, fictitious name, and partnership on file with the state, not just recently registered businesses. New filings are added every business day, and counts grow continuously.

Base URL https://sunbizdaily.com/api/v2/

All responses are JSON. Any registered user can create a key; the records a response returns cost one credit each — 500 free credits every 30 days, then $2 per 1,000 records — unless the account is on the Unlimited plan. Repeating the same request (same path and query) within 30 days only charges for records it did not already return; a different page, filter or date range is a new request. A request your balance cannot cover returns 402. Interactive API explorer available at /api/v2/docs/ (requires authentication).

Authentication

All API requests require an API key sent via the X-API-Key header. API access is available to all authenticated users.

curl -H "X-API-Key: sb_your_key_here" \ https://sunbizdaily.com/api/v2/filings/

Keys use the format sb_<32 characters>. The full key is shown once at creation time — store it securely. You can create and manage keys from your API Keys dashboard.

Corporate Filings

Florida corporations and LLCs. Each filing carries officers, a registered agent, and addresses.

GET /api/v2/filings/

List and search corporate filings.

curl -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/filings/?city=miami&filing_type=FLAL&per_page=5"

GET /api/v2/filings/{corporation_number}/

Get one filing with its officers and registered agent.

{ "corporation_number": "P24000012345", "corporation_name": "MIAMI GRILL LLC", "filing_type": "FLAL", "filing_type_display": "Florida Limited Liability Company", "status": "A", "file_date": "2025-01-15", "fei_number": "12-3456789", "principal_address": { "address_1": "123 BISCAYNE BLVD", "city": "MIAMI", "state": "FL", "zip": "33101", "country": "US" }, "mailing_address": null, "registered_agent": { "name": "JOHN SMITH", "agent_type": "P", "address": { } }, "officers": [ { "position": 1, "name": "JOHN SMITH", "title": "MGR", "officer_type": "P" } ] }

Resource-specific filters:

ParameterDescriptionExample
corporation_nameBusiness name (substring; matched as a whole value, commas included)GRILL
corporation_numberExact corporation numberP24000012345
officer_nameOfficer name (word-AND; see name matching below)smith
registered_agent_nameRegistered agent name (word-AND; see name matching below)CT CORPORATION
filing_typeComma-separated filing type codes (see below)DOMP,FLAL
countyCounty of the principal address (see note below)Orange

Recognized filing_type codes for /api/v2/filings/. Any unrecognized code is ignored; a value containing no recognized code returns no results.

CodeEntity type
FLALFlorida Limited Liability Company
FORLForeign Limited Liability Company
DOMPDomestic Profit Corporation
FORPForeign Profit Corporation
DOMNPDomestic Non-Profit Corporation
FORNPForeign Non-Profit Corporation
DOMLPDomestic Limited Partnership
FORLPForeign Limited Partnership
TRUSTTrust
COOPCooperative
NPREGNon-Profit Registration
AGENTRegistered Agent

What each code means in plain language: the filing types glossary.

Date filters use file_date. Sort fields: corporation_name, corporation_number, filing_type, file_date (default), city, state, zip, county, source_date.

sort=zip orders by the 5-digit ZIP code. Filings with no ZIP come last in both directions, and the ZIP+4 digits do not affect the order. With filters other than a date range or a numeric ZIP, filings that share a 5-digit ZIP have no fixed order: they can reorder between pages, so offset paging can repeat or skip rows within a ZIP.

Corporate filings also carry source_date — the daily file a filing first appeared in, as opposed to file_date, which is the date Florida filed the document. Filter it with source_date_start/source_date_end to ask “what arrived in the feed since …” rather than “what was filed since …”, which is the more useful question when polling, because filings reach the feed days after their file date. Caveat: source_date is null for filings that predate the daily feed and were loaded from the state's bulk extract — the large majority of the registry. A source_date window therefore excludes them, so use it for feed monitoring, not for historical queries. Fictitious names and partnerships do not carry this field.

county for corporate filings is derived from address enrichment, which is still backfilling across the registry — filings whose address has not been enriched yet have an empty county and are not matched by the filter. Coverage grows continuously; a missing county does not mean the business has none. A trailing “County” is tolerated (Orange County = Orange).

Fictitious-Name Filings

"Doing business as" (DBA) registrations. Each filing carries owners and a principal address — no registered agent or mailing address.

GET /api/v2/fictitious-names/

List and search fictitious-name filings.

curl -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/fictitious-names/?fictitious_name=bakery&county=PINELLAS"

GET /api/v2/fictitious-names/{document_number}/

Get one filing with its owners.

{ "document_number": "G24000056789", "fictitious_name": "SUNSHINE BAKERY", "status": "A", "filing_date": "2025-02-03", "county": "PINELLAS", "fei_number": "", "principal_address": { "address_1": "55 GULF BLVD", "city": "ST PETERSBURG", "state": "FL", "zip": "33706", "country": "US" }, "owners": [ { "position": 1, "name": "MARIA LOPEZ" } ] }

Resource-specific filters:

ParameterDescriptionExample
fictitious_nameTrade name (substring; matched as a whole value, commas included)bakery
document_numberExact document numberG24000056789
owner_nameOwner name (word-AND; see name matching below)lopez
countyCounty of filingPINELLAS

Date filters use filing_date. Sort fields: fictitious_name, document_number, filing_date (default), county, city, state, zip.

Partnerships

Florida general partnerships. Each carries partners, a registered agent, and addresses.

GET /api/v2/partnerships/

List and search partnerships.

curl -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/partnerships/?name=acme&state=FL"

GET /api/v2/partnerships/{document_number}/

Get one partnership with its partners and registered agent.

{ "document_number": "A24000098765", "name": "ACME PARTNERS", "status": "A", "filed_date": "2025-01-20", "fei_number": "98-7654321", "county": "ORANGE", "principal_address": { "address_1": "200 MAIN ST", "city": "ORLANDO", "state": "FL", "zip": "32801", "country": "US" }, "mailing_address": null, "registered_agent": { "name": "JANE ROE", "agent_type": "P", "address": { } }, "partners": [ { "name": "ALICE STONE", "partner_type": "I" } ] }

Resource-specific filters:

ParameterDescriptionExample
namePartnership name (substring; matched as a whole value, commas included)acme
document_numberExact document numberA24000098765
partner_namePartner name (word-AND; see name matching below)stone
registered_agent_nameRegistered agent name (word-AND; see name matching below)CT CORPORATION
countyCounty of the principal address (enrichment-derived, same caveat as corporate filings)Orange

Date filters use filed_date. Sort fields: name, document_number, filed_date (default), city, state, zip, county.

Industry Categories

Every filing is assigned an industry category by matching keyword rules against the business name. The industry filter accepts a category from this vocabulary and works on all three resources above.

A value that is not a category name or slug but unambiguously means one is resolved to it — industry=pressure+washer filters on Pressure Washing, car+rentals on Car Rental. This covers inflections and a curated alias list only; anything that could mean more than one category, or none, still returns 422. Pass a value from /api/v2/industries/ when you need the match to be exact.

GET /api/v2/industries/

List the industry vocabulary the industry filter accepts.

curl -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/filings/?industry=Restaurant&city=miami"

Categories are derived from the business name alone — they describe what a name suggests, not verified activity. A name that matches no rule is left without a category rather than assigned a catch-all, so a filing may have no industry value at all. Filter on a value outside the vocabulary and the API returns 422 rather than silently ignoring it.

Common Parameters

These apply to every resource above. All parameters are optional and combined with AND logic; most text parameters accept comma-separated values, ORed within that filter. The business-name filters are the exception — corporation_name, fictitious_name, and the partnership name are each matched as a single whole value (commas included), so a pasted name like Acme Holdings, LLC is one lookup, not two terms.

Shared filters

ParameterDescriptionExample
cityCity (case-insensitive)miami
stateState codeFL
zipZIP code prefix331
statusactive, inactive, or a raw status code (see note below)active
industryIndustry category from the vocabulary (see below); a close variant resolves to it, an unknown value returns 422Restaurant
name_matchHow a name filter is matched: substring (default), whole_word (person/agent names), or prefix (business names, see note below); an unknown value returns 422prefix
periodDate preset: yesterday, 7d, 14d, 30d, 90d, all (see note below)7d
start_dateStart of date range (YYYY-MM-DD)2025-01-01
end_dateEnd of date range (YYYY-MM-DD)2025-01-31
includeparties inlines officers / owners / partners and the registered agent on each list row; omit for nullparties

Value limits. Every free-text filter value (city, state, zip, county, the name filters, filing_type, and the document/corporation number filters) is limited to 200 characters; a longer value returns 422. city additionally accepts at most 10 distinct comma-separated values in one request (repeats do not count) — listing more returns 422 rather than answering for only the first ten.

period accepts only the six values listed above. Any other value — 60d, 180d, 1y — is silently treated as 7d rather than rejected, so a window other than these must use start_date/end_date.

Name matching. The person and agent filters (officer_name, owner_name, partner_name, registered_agent_name) split your value into words and require every word to appear on one person, in any order — Florida stores names surname-first, so John Smith finds SMITH JOHN. A comma is part of the name; a pipe (|) separates independent names and ORs them. Each word is matched as a substring by default, so John Smith also matches GOLDSMITH JOHNNIE; pass name_match=whole_word to require whole-word matches instead, at the same cost. Word boundaries are Postgres's, so digits and underscores count as word characters — whole-word smith does not match SMITH2 (unlike business-name keyword matching, which treats a digit as a boundary). Two cases fall back to substring matching rather than returning nothing: a word with no letter or digit at its edges (#1), and a name whose every word is under 3 characters (al). See the person and agent search guide for worked examples.

Business-name matching, and typeaheads. The business-name filters (corporation_name, fictitious_name, and the partnership name) match your whole value as one substring — a comma is part of the name, never a separator. & and and are searched as the same name, so Johnson & Sons and Johnson and Sons return the same rows.

A substring search needs a run of 3 or more consecutive letters or digits somewhere in the value — LC and B & have none, and a search like that has to read the entire registry. Because the two spellings above are one search, both have to qualify: B and M is refused along with B & M. An unsearchable term returns 422 when the request covers all time; inside a date window (period, start_date/end_date, or the source_date bounds) it is attempted, and only returns 422 if it in fact runs too long.

Pass name_match=prefix to match the value against the start of the name instead (corporation_name=cod&name_match=prefix finds CODIFIED LLC but not ENCODED LLC). That drops the minimum to 2 characters, accepts punctuation, and is the mode to build a typeahead on — it is answered by an index range scan, so short and rapidly-changing terms stay fast where a substring search would be queued as a background job. prefix applies to business names only; sending it alongside a person or agent name filter returns 422 rather than quietly matching that name some other way.

status=active matches filings with status code A; status=inactive matches everything else — corporate filings use I, but partnerships carry several terminal codes (revoked, dissolved, merged, …), so “inactive” means “not active”. A raw single-character code (e.g. A, I) is accepted verbatim; any other value returns 422. Responses keep emitting the raw code in status.

Date filters operate on each resource's filing date (see each section above). Future-dated values are never returned.

Pagination & Sorting

ParameterTypeDefaultDescription
pageinteger1Page number (1-indexed, max 100)
per_pageinteger25Results per page (max 100)
sortstringfiling dateSort field (see each resource)
orderstringdescasc or desc

For very broad filters, counting every match is more expensive than returning the page itself — so counting stops at 10,000. When that happens the envelope reports "total": 10000 with "total_capped": true, meaning at least 10,000 matches; narrow the filters (a date range helps most) for an exact total. Exact counts report total_capped: false.

Separately, the page of results is served first and the count gets whatever is left of the request's time budget. If the count runs out, you still get your rows — with an approximate total and "total_estimated": true. Treat that number as a magnitude, not a match count — it answers “roughly how many matches”, and only that.

Paging is not affected. Each response fetches one row past the page it serves, so total_pages is measured rather than derived from the estimate: it advertises a next page while rows really remain and lands on the last real page when they stop. Keep reading total_pages from each response and while page <= total_pages walks exactly the right pages — an approximate total will neither cut you short nor march you through empty pages. Exact counts report total_estimated: false.

The two flags are never both set. total_capped is a claim about a real count — it reached the cap, so there genuinely are at least that many matches — and an estimate can't support that, so an estimated total is reported as total_capped: false.

Bulk Daily Files

Paging is for finding filings, not for copying the register. If you want a whole day, download it: we write one gzipped JSON Lines file per record type per day — one JSON object per line, no pagination, no row cap. Use these instead of walking the detail endpoints.

Files are built on demand, not in advance, and the build runs in the background. The first request for a given day (and field set) returns 202 Accepted with a Retry-After header instead of the bytes — that request queued the build. Poll the same URL at the Retry-After interval: you get another 202 while it is still being written, then 200 and the file, and every later download is served straight from disk. There is no guaranteed build time: keep polling at the Retry-After interval until you receive a 200 or a 503. That means the manifest has two lists: available, every day you can ask for, and files, the ones that have already been built.

# first ask — the build is queued, nothing to download yet curl -sS -D - -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/bulk/corporate/2026-09-04/" HTTP/2 202 retry-after: 10 {"status":"building","detail":"This file is being built; retry shortly at the same URL.","retry_after":10} # wait the advertised seconds and ask again — same URL, HTTP 200 once it is written curl -sS -H "X-API-Key: sb_your_key_here" \ -o corporate-2026-09-04.jsonl.gz \ "https://sunbizdaily.com/api/v2/bulk/corporate/2026-09-04/"

Check the status code, not just for a body: a 202 writes that small JSON object wherever you pointed -o. Only a 200 is the gzip.

GET /api/v2/bulk/

List what has been built and what can be asked for, newest first.

curl -H "X-API-Key: sb_your_key_here" \ "https://sunbizdaily.com/api/v2/bulk/" { "files": [ { "filing_kind": "corporate", "target_date": "2026-09-04", "include": "", "row_count": 4821, "byte_size": 402118, "sha256": "9f2c...", "generated_at": "2026-09-05T05:12:44Z", "expires_at": "2026-09-19T00:00:00Z", "download_url": "/api/v2/bulk/corporate/2026-09-04/" } ], "available": [ {"filing_kind": "corporate", "target_date": "2026-09-04"}, {"filing_kind": "fictitious", "target_date": "2026-09-04"} ], "retention_days": 14 }

A day in available with no matching files entry is not missing — nobody has downloaded it yet. Ask for it and the build is queued. Every available day can be requested with any include combination below.

GET /api/v2/bulk/{filing_kind}/{target_date}/

Download one day's file. filing_kind is corporate, fictitious or partnership; target_date is YYYY-MM-DD. A 200 response is application/gzip with an ETag equal to the manifest's sha256, so you can verify the transfer and skip a re-download; a file nobody has built yet answers 202 first, as above.

curl -H "X-API-Key: sb_your_key_here" \ -o corporate-2026-09-04.jsonl.gz \ "https://sunbizdaily.com/api/v2/bulk/corporate/2026-09-04/" gunzip -c corporate-2026-09-04.jsonl.gz | head -1 {"corporation_number":"L26000012345","corporation_name":"EXAMPLE VENTURES LLC", ...}

A file holds every filing that was created or amended in that day's state file, carrying its current values — each row's change_type is created or updated. Every row also carries city, state and zip5 from the principal address, plus the fields for its record type:

Record typeFields
corporate corporation_number, corporation_name, status, filing_type, file_date, last_transaction_date, source_date, fei_number, state_country, more_than_six_officers
fictitious document_number, fictitious_name, status, county, filing_date, cancellation_date, expiration_date, fei_number, number_of_owners, more_than_ten_owners
partnership document_number, name, status, filed_date, effective_date, cancellation_date, expiration_date, fei_number, state_country, conversion_flag, fl_partners, total_partners

Asking for more: ?include=

By default a row is entity fields plus the three flat address keys above. Add include to nest more of the source record. It takes any combination of three group names, comma-separated, in any order and any case:

GroupAdds
addresses principal_address and mailing_address objects (address_1, address_2, city, state, zip, country). Fictitious-name filings have no mailing address, so theirs is null.
agent registered_agent: {"name", "ra_type", "address"}. null for fictitious-name filings (no such record) and for any filing whose source record carries no agent.
parties The filing's people, in source order: officers (corporate), owners (fictitious) or partners (partnership).
curl -H "X-API-Key: sb_your_key_here" \ -o corporate-full-2026-09-04.jsonl.gz \ "https://sunbizdaily.com/api/v2/bulk/corporate/2026-09-04/?include=addresses,agent,parties" # corporate {"corporation_number":"L26000012345","corporation_name":"EXAMPLE VENTURES LLC", ..., "city":"DELAND","state":"FL","zip5":"32720", "principal_address":{"address_1":"123 MAIN ST","address_2":"","city":"DELAND","state":"FL","zip":"327201234","country":""}, "mailing_address":{"address_1":"PO BOX 9", ...}, "registered_agent":{"name":"CT CORPORATION SYSTEM","ra_type":"C","address":{...}}, "officers":[{"position":1,"title":"P","officer_type":"P","name":"DOE, JANE","address":{...}}], "change_type":"created"} # fictitious (no mailing address and no registered agent exist for this record type) {"document_number":"G26000012345","fictitious_name":"EXAMPLE DBA", ..., "principal_address":{...},"mailing_address":null,"registered_agent":null, "owners":[{"position":1,"name":"ACME HOLDINGS INC","name_format":"C","document_number":"P11000001111","fei_number":"123456789","charter_number":"","address":{...}}], "change_type":"created"} # partnership (a partner's address is the source's mail_address) {"document_number":"A26000012345","name":"EXAMPLE PARTNERS", ..., "principal_address":{...},"mailing_address":{...},"registered_agent":{...}, "partners":[{"sequence":"1","partner_type":"I","name_format":"","name":"ROE, RICHARD","corp_number":"","mail_address":{...}}], "change_type":"updated"}

The flat city, state and zip5 keys stay on every row whichever groups you ask for, so a parser written against the default keeps working. An unrecognised group name is a 422 rather than being ignored — the group set is part of the file's identity, so a typo would otherwise hand you a smaller file than you asked for. Each combination is its own file with its own sha256, built the first time somebody requests it.

Values are raw state data throughout — the county on a fictitious-name row is the county from the source record, and the geocode-derived county and the industry category are not included at any include level. Use the list and detail endpoints when you need those. Filings under a privacy takedown are left out of every file entirely, and existing files are rewritten when a takedown lands.

Files are kept for 14 days. Past that a day drops off the manifest and its download returns 410; a day inside the window with no completed ingest — including one whose ingest is still running — returns 404, so a day appears in available only once its file is complete.

Three status codes mean “ask again”, all of them carrying a Retry-After header saying how long to wait. 202 is the normal one: the file is queued or being written, by your request or somebody else's. 503 means nothing is being built for you right now — a recent build of that exact file failed and is cooling off, generation is switched off on the server, or the build queue is unreachable — and the next request after the cooldown queues a fresh attempt. Wait the advertised number of seconds and repeat the same request for either. A 404, by contrast, means the day is genuinely not there and polling will not help.

Asynchronous Searches

Most queries return immediately. A few are inherently expensive — for example, finding every business tied to a common officer or agent name across the whole registry. Rather than make you wait (or time out), the API runs each list request under a short time budget and, if it would exceed it, hands back a background job instead of the results.

This is automatic and uses the same list endpoints — you don't choose up front. When a query is offloaded, the list endpoint returns 202 Accepted with a job id and a poll URL:

GET /api/v2/filings/?officer_name=john+smith 202 Accepted { "job_id": "f1a2b3c4-...", "status": "queued", "poll_url": "/api/v2/jobs/f1a2b3c4-.../" }

GET /api/v2/jobs/{job_id}/

Poll the job until status is done. While it runs, the status is queued or running. When done, the response carries the result in the same filings + pagination envelope the synchronous endpoints use, paged with the normal page and per_page parameters. Left unset, they default to the values from your original request, so the job result matches what the synchronous response would have been:

GET /api/v2/jobs/f1a2b3c4-.../?page=1&per_page=25 { "job_id": "f1a2b3c4-...", "status": "done", "resource": "corporate", "truncated": false, "filings": [ ... ], "pagination": { "total": 842, "page": 1, "per_page": 25, "total_pages": 34 } }

Notes: fetchable results are capped — for very common names truncated is true, meaning only the first page-load of rows is reachable. total is then held at that cap with total_capped set — a floor, not the true match count — and total_pages reflects the reachable rows, not total. Person and agent name terms must be 3 or more characters, and a business-name term must be searchable at all (see Business-name matching above); otherwise 422 — such a term matches most of the registry and could never finish. Each user may have up to 3 jobs in flight at once (a 4th returns 429). Job results expire after 24 hours; polling an expired job returns 410. Jobs are private to the key's owner.

Privacy

Florida business filings are public record. A business owner who used a home address can request a privacy takedown; for those filings the API hides the people (officers, owners, or partners), the registered agent, the mailing address and the FEI/EIN (fei_number is empty), and generalizes the principal address to city level. The filing itself still appears in results.

Rate Limits

Rate limits are enforced per API key per clock hour.

All Users
1,000
requests / hour
Need higher limits? Reach out through support.

Every response includes rate limit headers:

X-RateLimit-Limit: 1000 X-RateLimit-Remaining: 998

When the limit is exceeded, the API returns a 429 status with a Retry-After header: the number of seconds until the allowance resets at the top of the hour. Wait that long before retrying.

Error Responses

Errors return a JSON object with error and optional detail fields.

Status Meaning When
200 OK Request succeeded
202 Accepted Query offloaded to a background job (see Asynchronous Searches)
401 Unauthorized Missing, invalid, or expired API key
404 Not Found Document/corporation number or job does not exist
410 Gone Background job result has expired
422 Unprocessable Entity Invalid filter value — unknown status, industry, or name_match, a filter value over 200 characters, more than 10 city values, a person-name term under 3 characters, or an unsearchable business-name term
429 Too Many Requests Rate limit exceeded, or too many in-flight search jobs
500 Internal Server Error Unexpected server error

Example error response:

{ "error": "Rate limit exceeded.", "detail": "1000 requests per hour." }

Get Started

Create an API key to start making requests. Keys are free for every registered user; records cost one credit each per the pricing page.

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