# New Business Filings โ€” US State Registry Leads Feed (`devilscrapes/new-business-filings-leads-scraper`) Actor Pull a daily feed of newly-formed US business entities from official state Secretary-of-State registries (NY, CO, CT, OR) โ€” company name, entity type, formation date, registered agent, and address, filtered by date range. Built for sales and lead-gen teams. - **URL**: https://apify.com/devilscrapes/new-business-filings-leads-scraper.md - **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README
Devil Scrapes mark ## New Business Filings Leads Scraper **๐Ÿ’ฐ $5.00 / 1 000 results**  ยท  pay only for results  ยท  no credit card to try _The devil's in the data โ€” we get it to you before your competitors do._ ๐Ÿ˜ˆ Pull a daily feed of newly-formed US business entities from official state Secretary-of-State registries (NY, CO, CT, OR) โ€” company name, entity type, formation date, registered agent, and address, filtered by date range. Built for sales and lead-gen teams.
--- ### ๐ŸŽฏ What this scrapes This Actor pulls a **date-range feed of newly-formed US business entities** straight from official state Secretary-of-State open-data registries โ€” New York, Colorado, Connecticut, and Oregon in v1. Give it a `dateFrom` (and optionally a `dateTo`), and it returns one row per entity that registered within that window, sorted newest-first. This is **not** a name-search/verification tool โ€” you don't need to know the company names in advance. It's built for the opposite use case: **who just formed a company?** That's the raw stream sales, banking, insurance, payroll, and SaaS onboarding teams want to reach while the ink is still wet. (Need to verify a *known* company name instead? See our sibling Actor, `opencorporates-alternative-scraper`.) ### ๐Ÿ”ฅ What we handle for you - ๐Ÿ›ก๏ธ **Browser fingerprint rotation** โ€” `curl-cffi` impersonates real Chrome / Firefox / Safari TLS handshakes so every request looks like a browser, not Python. - ๐Ÿ” **Retries with exponential backoff** on `408 / 429 / 5xx` โ€” up to 5 attempts per request, `Retry-After` honoured. - ๐Ÿงฑ **Graceful degradation per state** โ€” if one state's dataset hiccups, that state is skipped with a warning; the rest of the run keeps going. - ๐ŸŒ **Full pagination** โ€” up to 10,000 rows per jurisdiction per run, paginated automatically via `$offset`. - ๐ŸงŠ **Clean, typed dataset rows** โ€” Pydantic-validated, ISO-8601 timestamps, a shared cross-state schema despite each state publishing wildly different raw field names. - ๐Ÿ’ฐ **Pay-Per-Event pricing** โ€” you only pay for rows that land in your dataset. No data, no charge (beyond the small warm-up fee). ### ๐Ÿ’ก Use cases - **Business banking & commercial insurance outreach** โ€” reach brand-new entities before incumbents do. - **Payroll / benefits / SaaS onboarding vendors** โ€” target companies at the exact moment they need these tools. - **Marketing agencies** โ€” build fresh, low-competition prospect lists that competitors haven't touched yet. - **Market research** โ€” track new-entity formation volume and entity-type mix over time, per state. - **Feed a CRM on a schedule** โ€” pair this with an [Apify Schedule](https://docs.apify.com/platform/schedules) for a rolling daily/weekly new-filings feed. ### โš™๏ธ How to use it 1. Click **Try for free** at the top of the page. 2. Set **Date from** โ€” the earliest formation date to include. Leave **Date to** blank to default to today (UTC). 3. Optionally narrow **Jurisdictions** to just the states you care about, and set an **Entity types** filter or **Max results per jurisdiction**. 4. Click **Start**. Rows stream into the run's dataset as each jurisdiction is pulled. 5. Export from **Storage โ†’ Dataset** as JSON, CSV, or Excel โ€” or fetch via the API. 6. Want this to run automatically? Wire it into an [Apify Schedule](https://docs.apify.com/platform/schedules) with a rolling `dateFrom`/`dateTo` window. ### ๐Ÿ“ฅ Input | Field | Type | Required | Default | Notes | |---|---|:--:|---|---| | `dateFrom` | `string` | **yes** | โ€” | Earliest formation date to include (inclusive), ISO `YYYY-MM-DD`. | | `dateTo` | `string` | no | today (UTC) | Latest formation date to include (inclusive), ISO `YYYY-MM-DD`. | | `jurisdictions` | `array` | no | `["NY","CO","CT","OR"]` | Which state registries to pull from. | | `entityTypes` | `array` | no | none | Optional filter on **raw, per-state** entity-type values โ€” e.g. `"DOMESTIC LIMITED LIABILITY COMPANY"` in NY vs. `"DLLC"` in CO for the same legal form. Not normalized across states. | | `maxResultsPerJurisdiction` | `integer` | no | `1000` | Cap on rows pulled per jurisdiction per run (1-10,000), paginated via `$offset`. | | `proxyConfiguration` | `object` | no | `{"useApifyProxy": false}` | Optional โ€” these are public open-data APIs, not known to fingerprint clients. | #### Example input ```json { "dateFrom": "2026-07-01", "dateTo": "2026-07-19", "jurisdictions": ["NY", "CO", "CT", "OR"], "entityTypes": null, "maxResultsPerJurisdiction": 1000, "proxyConfiguration": {"useApifyProxy": false} } ```` ### ๐Ÿ“ค Output Every row is one newly-formed entity within `[dateFrom, dateTo]` for one jurisdiction. | Field | Type | Notes | |---|---|---| | `entity_id` | `string` | State's internal id (`dos_id` / `entityid` / `id` / `registry_number`). | | `entity_name` | `string` | State's on-file entity name. | | `jurisdiction` | `string` | `NY`, `CO`, `CT`, or `OR`. | | `entity_type` | `string \| null` | e.g. `DOMESTIC LIMITED LIABILITY COMPANY`, `DLLC` โ€” raw per-state, not normalized. | | `formation_date` | `string` | ISO `YYYY-MM-DD` โ€” the field this Actor filters/sorts on. | | `status` | `string \| null` | Raw state status label at scrape time (e.g. `Good Standing`). | | `principal_address` | `string \| null` | Flattened single-line address. | | `registered_agent_name` | `string \| null` | When published. | | `registered_agent_address` | `string \| null` | Flattened single-line address. | | `source_record_url` | `string` | Direct link to the raw SODA record. | | `registry_url` | `string` | The state's open-data dataset landing page. | | `scraped_at` | `string` | ISO 8601 UTC timestamp this row was written. | #### Example output ```json { "entity_id": "7969358", "entity_name": "URGB LLC", "jurisdiction": "NY", "entity_type": "DOMESTIC LIMITED LIABILITY COMPANY", "formation_date": "2026-07-17", "status": null, "principal_address": null, "registered_agent_name": "URGB LLC", "registered_agent_address": "32 Jagger Court, Melville, NY 11747", "source_record_url": "https://data.ny.gov/resource/n9v6-gdp6.json?dos_id=7969358", "registry_url": "https://data.ny.gov/d/n9v6-gdp6", "scraped_at": "2026-07-19T12:00:00+00:00" } ``` ### ๐Ÿ’ฐ Pricing Pay-Per-Event โ€” you pay only when these events fire: | Event | USD | What it is | |---|---:|---| | `actor-start` | $0.005 | One-off warm-up charge per run | | `result-row` | $0.005 | Per newly-formed entity row written to the dataset | Example: 1 000 rows โ‰ˆ **$5.00**. No subscription, no minimum, no card to start โ€” Apify gives every new account $5 of free credit. Because this Actor caps at `maxResultsPerJurisdiction` (default 1,000) per jurisdiction, a full 4-state run with defaults costs at most ~$20; narrow the date range or the jurisdiction list to control spend. ### ๐Ÿšง Limitations This is a **v1 with 4 confirmed states** (NY, CO, CT, OR) โ€” not the broader multi-state coverage some incumbents advertise. We picked these four because each publishes a free, keyless, machine-readable Socrata dataset sourced from the state's own Secretary of State; adding a state is a per-state adapter, not a schema break, so more are on the roadmap. `entityTypes` filters against each state's own **raw** vocabulary โ€” it is intentionally not normalized across states (a domestic LLC is `"DOMESTIC LIMITED LIABILITY COMPANY"` in NY but `"DLLC"` in CO). This is a one-shot pull, not a push/webhook alert โ€” run it on a schedule yourself via [Apify Schedules](https://docs.apify.com/platform/schedules) for a recurring feed. Each run is stateless; deduplication against prior runs or your own CRM is on you. `status` is nullable because NY and OR don't publish an explicit status field. ### ๐Ÿ”— Use with n8n Wire this Actor into your [n8n](https://n8n.io) automations with the official [Apify node](https://www.npmjs.com/package/@apify/n8n-nodes-apify): 1. Add the **Apify** node and pick the **Run Actor** operation. 2. Set the Actor to `devilscrapes/new-business-filings-leads-scraper` and pass your `dateFrom`/`dateTo` window as JSON. 3. Chain a **Get Dataset Items** step to read the structured rows into the rest of your workflow (Sheets, Slack, your CRM, an AI agent, โ€ฆ). Because n8n runs on a schedule or trigger, you get a fresh daily stream of newly-formed companies on autopilot โ€” for example, an automated Slack digest of every new Colorado LLC formed in the last 24 hours, ready for your SDR team. ### โ“ FAQ **How is this different from `opencorporates-alternative-scraper`?** That Actor takes company names you already know and verifies them against state registries (KYB/compliance use case). This Actor takes a date range and returns entities you *don't* know yet โ€” the raw stream of who just formed a company (sales-prospecting use case). Same 4 states, different query shape. **Why only 4 states in v1?** Those are the states we've confirmed publish a genuinely free, keyless Socrata dataset sourced from their own Secretary of State โ€” not a scrape of a login-gated or Cloudflare-protected search UI. Adding a 5th state is a contained code change, not a rewrite; more states are on the roadmap. **Can this notify me automatically when new filings appear?** Not as a built-in feature in v1 โ€” but it's a perfect fit for [Apify Schedules](https://docs.apify.com/platform/schedules): set the Actor to run daily with a rolling 1-2 day `dateFrom`/`dateTo` window and pipe the dataset into a webhook, Slack, or your CRM. **Are `entityTypes` values the same across all 4 states?** No โ€” each state publishes its own vocabulary (e.g. `"DOMESTIC LIMITED LIABILITY COMPANY"` in NY vs. `"DLLC"` in CO for the same legal form). `entityTypes` filters against each state's raw values, not a normalized cross-state enum. Check a few sample rows per state before building a strict filter. **How current is the data?** It's exactly as current as each state's own open-data snapshot. All 4 confirmed jurisdictions returned same-week filings during our most recent live check, but none of these are real-time transactional lookups โ€” treat this as "daily-fresh," not "instant." ### ๐Ÿ’ฌ Your feedback Spotted a bug, hit a weird edge case, or need a 5th state added? Open an issue on the Actor's **Issues** tab on Apify Console โ€” we ship fixes weekly and we read every report. ***
Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** ๐Ÿ˜ˆ โ€” a small fleet of opinionated public-data Actors. Honest pricing, real engineering, zero fine print.
# Actor input Schema ## `dateFrom` (type: `string`): Earliest formation date to include (inclusive), ISO YYYY-MM-DD. ## `dateTo` (type: `string`): Latest formation date to include (inclusive), ISO YYYY-MM-DD. Leave blank to default to today (UTC) at run time. ## `jurisdictions` (type: `array`): Which state Secretary-of-State registries to pull newly-formed entities from. ## `entityTypes` (type: `array`): Optional filter on raw per-state entity-type values (e.g. "DOMESTIC LIMITED LIABILITY COMPANY" in NY vs. "DLLC" in CO) โ€” not normalized across states. Leave empty for no filter. ## `maxResultsPerJurisdiction` (type: `integer`): Cap on rows pulled per jurisdiction per run, paginated via $offset. ## `proxyConfiguration` (type: `object`): Optional โ€” state open-data portals are public REST APIs and aren't known to fingerprint clients. Leave off unless you see 403/429. ## Actor input object example ```json { "dateFrom": "2026-07-01", "jurisdictions": [ "NY", "CO", "CT", "OR" ], "maxResultsPerJurisdiction": 1000, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `datasetItems` (type: `string`): All dataset items as JSON. ## `datasetItemsCsv` (type: `string`): Same data exported to CSV. ## `datasetView` (type: `string`): Open the run dataset in the Console. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "dateFrom": "2026-07-01", "jurisdictions": [ "NY", "CO", "CT", "OR" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("devilscrapes/new-business-filings-leads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "dateFrom": "2026-07-01", "jurisdictions": [ "NY", "CO", "CT", "OR", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("devilscrapes/new-business-filings-leads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "dateFrom": "2026-07-01", "jurisdictions": [ "NY", "CO", "CT", "OR" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call devilscrapes/new-business-filings-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devilscrapes/new-business-filings-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "New Business Filings โ€” US State Registry Leads Feed", "description": "Pull a daily feed of newly-formed US business entities from official state Secretary-of-State registries (NY, CO, CT, OR) โ€” company name, entity type, formation date, registered agent, and address, filtered by date range. Built for sales and lead-gen teams.", "version": "0.0", "x-build-id": "4fFsmLYeuaK9qkPBs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devilscrapes~new-business-filings-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devilscrapes-new-business-filings-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devilscrapes~new-business-filings-leads-scraper/runs": { "post": { "operationId": "runs-sync-devilscrapes-new-business-filings-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devilscrapes~new-business-filings-leads-scraper/run-sync": { "post": { "operationId": "run-sync-devilscrapes-new-business-filings-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "dateFrom" ], "properties": { "dateFrom": { "title": "Date from", "type": "string", "description": "Earliest formation date to include (inclusive), ISO YYYY-MM-DD." }, "dateTo": { "title": "Date to", "type": "string", "description": "Latest formation date to include (inclusive), ISO YYYY-MM-DD. Leave blank to default to today (UTC) at run time." }, "jurisdictions": { "title": "Jurisdictions", "type": "array", "description": "Which state Secretary-of-State registries to pull newly-formed entities from.", "items": { "type": "string", "enum": [ "NY", "CO", "CT", "OR" ], "enumTitles": [ "New York", "Colorado", "Connecticut", "Oregon" ] }, "default": [ "NY", "CO", "CT", "OR" ] }, "entityTypes": { "title": "Entity types (optional)", "type": "array", "description": "Optional filter on raw per-state entity-type values (e.g. \"DOMESTIC LIMITED LIABILITY COMPANY\" in NY vs. \"DLLC\" in CO) โ€” not normalized across states. Leave empty for no filter.", "items": { "type": "string" } }, "maxResultsPerJurisdiction": { "title": "Max results per jurisdiction", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on rows pulled per jurisdiction per run, paginated via $offset.", "default": 1000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional โ€” state open-data portals are public REST APIs and aren't known to fingerprint clients. Leave off unless you see 403/429.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```