Los Angeles Active Businesses Scraper
Scrape the City of Los Angeles active registered business directory. Extract business name, DBA, street and mailing address, NAICS industry, council district and location start date for local B2B lead generation. Export to JSON, CSV or Excel.
{ "locationAccount": "0000999236-0001-5", "businessName": "STARBUCKS CORP", "dba": "STARBUCKS COFFEE #659", "naicsCode": "722110", "industry": "Full-service restaurants", "address": "11700 SAN VICENTE BLVD, LOS ANGELES CA 90049-5…", "streetAddress": "11700 SAN VICENTE BLVD", "city": "LOS ANGELES", "zip": "90049-5006" }
Every run returns clean, typed records, ready for your CRM, spreadsheet or database.
- One clean record per result, deduped and normalized
- Stable schema in JSON, CSV or Excel, or read it via the Apify API
- Pay per use in the cloud, nothing to install or maintain
A real example record, exactly the shape you receive.
| Location Account | Business Name | Dba | Naics Code |
|---|---|---|---|
| 0000999236-0001-5 | STARBUCKS CORP | STARBUCKS COFFEE #659 | 722110 |
| 0000999235-0001-1 | ARROSTO COFFEE | 722110 | |
| 0000401688-0001-2 | STARBUCKS COFFEE COMPANY #5394 | STARBUCKS COFFEE CO | 722110 |
| 0003564285-0001-5 | COLLISION COFFEE ROASTERS LLC | COLLISION COFFEE | 445298 |
| 0003584394-0001-5 | SNEAKY GOOD COFFEE LLC | SNEAKY GOOD COFFEE | 722515 |
{ "locationAccount": "0000999236-0001-5", "businessName": "STARBUCKS CORP", "dba": "STARBUCKS COFFEE #659", "naicsCode": "722110", "industry": "Full-service restaurants", "address": "11700 SAN VICENTE BLVD, LOS ANGELES CA 90049-5…", "streetAddress": "11700 SAN VICENTE BLVD", "city": "LOS ANGELES", "zip": "90049-5006" }
Frequently asked questions
Which businesses does this cover?
It covers the City of Los Angeles directory of active registered businesses, over 600,000 records across every industry and neighborhood. Each record includes the business name, address, NAICS industry, council district and the date it started at that location.
How do I search and filter?
Use the Business name / keyword field to match a name or DBA (for example "coffee" or "plumbing"), then narrow with the NAICS code, industry keyword, ZIP code, council district and registration date range. You can sort by newest registered, oldest, or business name.
How many records can I pull in one run?
You set the limit with the Max items input. Small lookups return in a single request, and large runs page through the directory automatically, so multi-thousand-record pulls are practical. For very large jobs you can supply your own free app token to lift the public rate limit.
Does every business have a DBA or mailing address?
No. Many businesses trade under their legal name and have no separate DBA, and many have no mailing address distinct from their street address. Those fields are returned as null rather than guessed.
What happens when a request fails?
If a request fails, the record carries an error message and the run finishes cleanly with whatever was already collected.
Ready when you are.
Run the scraper live on Apify right now, or have us build one tailored to exactly what you need.