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DC Basic Business Licenses

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from $13.40 / 1,000 registry records

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DC Basic Business Licenses

DC Basic Business Licenses

One record per DC Basic Business License (category/type, status, effective/expiry dates, premise address, entity + owner/agent names, ward) from the official DC DCRA open-data ArcGIS feed. Licence category/status/dates and addresses carried verbatim.

Pricing

from $13.40 / 1,000 registry records

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NexGen Watch

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πŸ”” DC Basic Business Licenses

One record per DC Basic Business License (category/type, status, effective/expiry dates, premise address, entity + owner/agent names, ward) from the official DC DCRA open-data ArcGIS feed. Licence category/status/dates and addresses carried verbatim.

Public, robots-honoured.

Output is one dc_basic_business_license row per result; billing is pay-per-event, the value event being one registry record (a $0.02 start fee per run, then $0.02 per registry record). Source: maps2.dcgis.dc.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

Who buys this

Buyers usually search for DC business license or Washington DC business licenses.

  • Sales and lead-generation teams building lists from DC business license.
  • KYB, onboarding and compliance teams checking Washington DC business licenses.
  • Market researchers and data teams that need the official record as rows.

πŸ“Š Sample Output

DC Basic Business Licenses sample output β€” a table of real registry record rows (customer_number, license_type, license_status_date, initial_issue_date) from run NinzHkpLrBpZ1ntZc on build 0.1.6

Real rows from run NinzHkpLrBpZ1ntZc on build 0.1.6 (2026-09-18), the same input as the Quick start below β€” every value is as the source published it (emails masked, long text shortened):

customer_numberlicense_typelicense_status_dateinitial_issue_datebusiness_activitypremise_address
500624000099Business License2024-08-292024-02-06Two Family Rental815 E ST SE, WASHINGTON, DC, 20003, USA
400224000353Business License2024-03-012024-03-01Charitable Solicitation1140 CONNECTICUT AVE NW, 1200, WASHINGTON, DC, 20036, USA
39400991Business License2010-10-042010-10-04Restaurant1050 30TH ST NW, WASHINGTON, DC, 20007, USA
39902200Business License2010-10-051999-04-27Delicatessen327 7TH ST SE, WASHINGTON, DC, 20003, USA
500525002592Business License2025-06-212025-06-20One Family Rental627 HARVARD ST NW, Washington, DC, 20001, USA
400312001139Business License2026-03-132012-04-26General Business2300 N ST NW, 6135, WASHINGTON, DC, 20037, USA
65002525Individual License2026-03-062005-05-13Motor Vehicle Salesperson5917 GEORGIA AVE NW, WASHINGTON, DC, 20011, USA
420316000432Individual License2026-06-262016-08-24Home Improvement Salesperson1508 17TH ST NW, WASHINGTON, DC, 20036, USA

The run finished with the status message: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50

βœ… What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_type (string) β€” e.g. dc_basic_business_license
  • customer_number (string/null) β€” e.g. 500624000099
  • license_status (string/null) β€” e.g. Active
  • license_type (string/null) β€” e.g. Business License
  • license_subtype (string/null) β€” null in every sample row
  • license_status_date (string/null) β€” e.g. 2024-08-29
  • license_start_date (string/null) β€” e.g. 2023-01-01
  • license_end_date (string/null) β€” e.g. 2026-12-31
  • initial_issue_date (string/null) β€” e.g. 2024-02-06
  • primary_activity (string/null) β€” null in every sample row
  • business_activity (string/null) β€” e.g. Two Family Rental
  • premise_address (string/null) β€” e.g. 815 E ST SE, WASHINGTON, DC, 20003, USA
  • entity_name (string/null) β€” e.g. Diem Trang Doan Nguyen
  • entity_trade_name (string/null) β€” e.g. .
  • entity_type (string/null) β€” e.g. Sole Proprietorship
  • owner_first_name (string/null) β€” e.g. Diem Trang
  • owner_last_name (string/null) β€” e.g. Nguyen
  • agent_first_name (string/null) β€” e.g. Hung
  • agent_last_name (string/null) β€” e.g. Nguyen
  • ward (string/null) β€” e.g. Ward 6
  • district (string/null) β€” e.g. FIRST
  • data_refreshed_on (string/null) β€” e.g. 2026-09-18
  • source (string/null) β€” e.g. dc-basic-business-licenses
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://maps2.dcgis.dc.gov/dcgis/rest/services/FEEDS/DCRA/FeatureServer/0
  • observed_at (string/null) β€” e.g. 2026-09-18T20:07:46Z
  • terminal (string/integer/null) β€” null in every sample row
  • reported_total (string/integer/null) β€” null in every sample row
  • raw_seen (string/integer/null) β€” null in every sample row
  • duplicates (string/integer/null) β€” null in every sample row
  • unique_found (string/integer/null) β€” null in every sample row
  • delivered (string/integer/null) β€” null in every sample row
  • scope (string/integer/null) β€” null in every sample row
  • note (string/integer/null) β€” null in every sample row
  • license (string/integer/null) β€” null in every sample row
  • attribution (string/integer/null) β€” null in every sample row

βœ… What you get

  • record_type (string) β€” e.g. dc_basic_business_license
  • customer_number (string/null) β€” e.g. 500624000099
  • license_status (string/null) β€” e.g. Active
  • license_type (string/null) β€” e.g. Business License
  • license_subtype (string/null) β€” null in every sample row
  • license_status_date (string/null) β€” e.g. 2024-08-29
  • license_start_date (string/null) β€” e.g. 2023-01-01
  • license_end_date (string/null) β€” e.g. 2026-12-31
  • initial_issue_date (string/null) β€” e.g. 2024-02-06
  • primary_activity (string/null) β€” null in every sample row
  • business_activity (string/null) β€” e.g. Two Family Rental
  • premise_address (string/null) β€” e.g. 815 E ST SE, WASHINGTON, DC, 20003, USA
  • entity_name (string/null) β€” e.g. Diem Trang Doan Nguyen
  • entity_trade_name (string/null) β€” e.g. .
  • entity_type (string/null) β€” e.g. Sole Proprietorship
  • owner_first_name (string/null) β€” e.g. Diem Trang
  • owner_last_name (string/null) β€” e.g. Nguyen
  • agent_first_name (string/null) β€” e.g. Hung
  • agent_last_name (string/null) β€” e.g. Nguyen
  • ward (string/null) β€” e.g. Ward 6
  • district (string/null) β€” e.g. FIRST
  • data_refreshed_on (string/null) β€” e.g. 2026-09-18
  • source (string/null) β€” e.g. dc-basic-business-licenses
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://maps2.dcgis.dc.gov/dcgis/rest/services/FEEDS/DCRA/FeatureServer/0
  • observed_at (string/null) β€” e.g. 2026-09-18T19:42:13Z
  • terminal (string/integer/null) β€” null in every sample row
  • reported_total (string/integer/null) β€” null in every sample row
  • raw_seen (string/integer/null) β€” null in every sample row
  • duplicates (string/integer/null) β€” null in every sample row
  • unique_found (string/integer/null) β€” null in every sample row
  • delivered (string/integer/null) β€” null in every sample row
  • scope (string/integer/null) β€” null in every sample row
  • note (string/integer/null) β€” null in every sample row
  • license (string/integer/null) β€” null in every sample row
  • attribution (string/integer/null) β€” null in every sample row

What you get

One registry_record per entity, deduplicated on the source-native id. Fields the source does not publish are honest null. A run_receipt row carries the source URL, scope, reconciliation counts, and delivered/duplicate totals.

βš™οΈ Sample inputs

1. Quick start β€” the Store example (this is what the sample above came from)

{
"maxRecords": 10
}

The sample run charged exactly: 2 Γ— $0.02 apify-actor-start + 50 Γ— $0.02 registry_record = $1.04 on the Free tier β€” every delivered row was billed.

2. A smaller, narrowed run

{
"maxRecords": 5
}

Caps the run at 5 rows β€” about $0.12 on the Free tier ($0.02 start + 5 Γ— $0.02).

3. A full-size run

{
"maxRecords": 5000
}

Up to 5000 rows (the schema default for maxRecords) β€” about $100.02 on the Free tier ($0.02 start + 5000 Γ— $0.02) if the source has that many.

4. A filtered run

{
"maxRecords": 10,
"fieldMatch": {
"entity_name": "Diem Trang Doan Nguyen"
}
}

Keeps only rows whose entity_name contains Diem Trang Doan Nguyen (a value from the sample run above), matched case-insensitively after the source is read and before the maxRecords cap, so the cap counts matches and only delivered matches are billed. searchText does the same across every column. Zero matches end the run as EMPTY_SELECTION with no row charged β€” if the source has moved on since that sample run, pick a value you see in your own first run. The source is still read in full β€” this narrows what you receive and pay for, not what the source serves.

🧾 JSON sample record

One real record from run NinzHkpLrBpZ1ntZc, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "dc_basic_business_license",
"customer_number": "500624000099",
"license_status": "Active",
"license_type": "Business License",
"license_subtype": null,
"license_status_date": "2024-08-29",
"license_start_date": "2023-01-01",
"license_end_date": "2026-12-31",
"initial_issue_date": "2024-02-06",
"primary_activity": null,
"business_activity": "Two Family Rental",
"premise_address": "815 E ST SE, WASHINGTON, DC, 20003, USA",
"entity_name": "Diem Trang Doan Nguyen",
"entity_trade_name": null,
"entity_type": "Sole Proprietorship",
"owner_first_name": "Diem Trang",
"owner_last_name": "Nguyen",
"agent_first_name": "Hung",
"agent_last_name": "Nguyen",
"ward": "Ward 6",
"district": "FIRST",
"data_refreshed_on": "2026-09-18",
"source": "dc-basic-business-licenses",
"release_date": null,
"source_url": "https://maps2.dcgis.dc.gov/dcgis/rest/services/FEEDS/DCRA/FeatureServer/0",
"observed_at": "2026-09-18T20:07:46Z"
}

πŸ”§ How it works

Source. The actor reads maps2.dcgis.dc.gov β€” endpoints: https://maps2.dcgis.dc.gov/dcgis/rest/services/FEEDS/DCRA/FeatureServer/0. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: CRAWL_DELAY=0.0.

Charging. Each registry record is charged at the moment it is pushed (registry_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

πŸ”§ How it works

How it behaves

The DC DCRA FeatureServer layer is paged (resultOffset/resultRecordCount, OBJECTID-ordered) and returnCountOnly reconciled against delivery. Fields copied verbatim from the published attributes; nulls preserved. Streaming, bounded to maxRecords.

Source

https://maps2.dcgis.dc.gov/dcgis/rest/services/FEEDS/DCRA/FeatureServer/0

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

πŸ’° Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Registry Record (registry_record)$0.02$0.018$0.016$0.0134

Worked at the live Free-tier price:

  • 8 registry records: $0.02 start + 8 Γ— $0.02 = $0.18
  • 25 registry records: $0.02 start + 25 Γ— $0.02 = $0.52
  • 5000 registry records: $0.02 start + 5000 Γ— $0.02 = $100.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 4096 MB.

Yield on the sample run: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50. maxRecords is a hard ceiling on what is delivered and billed, never a target.

This actor reads public, logged-out pages and feeds published by maps2.dcgis.dc.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (maps2.dcgis.dc.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event β€” retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 5000). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other NexGen Watch actors actors?
A: Same output shape and billing model; this one covers maps2.dcgis.dc.gov. The siblings under Related Actors cover the other sources or slices β€” run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source (CRAWL_DELAY=0.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

πŸ†˜ Troubleshooting

  • Run FAILED with BLOCKED β†’ the source refused the request or changed its page shape β†’ nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED β†’ your cap (maxRecords) was reached β†’ raise it for a bigger run.
  • Input validation error on start β†’ a field is outside the schema's allowed values β†’ start from the Quick start block and change one field at a time.
  • Run TIMED-OUT β†’ a very wide request on a slow day β†’ raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
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  • 🏒 About NexGen Watch β€” NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab β€” every one is read.