# 🏛️ Delaware Corporations Search — DE Entity Registry (`nexgendata/delaware-corporations-search-scraper`) Actor Search the Delaware Division of Corporations entity registry. For each entity name (partial match), returns matching DE entities — file\_number + entity\_name. KYC, AML compliance, VC sourcing, M\&A intelligence, journalism. Stripe Atlas + every DE C-corp incorporation appears here. - **URL**: https://apify.com/nexgendata/delaware-corporations-search-scraper.md - **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 de entity matches 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## 🏛️ Delaware Corporations Search Scraper — DE Entity Registry Lookup Search the **Delaware Division of Corporations** entity registry — the canonical source of every Delaware-incorporated business. By name (partial match) returns matching entities with their state-issued file number and exact registered name. Delaware is the legal home of two-thirds of all Fortune 500 companies, virtually every YC C-corp (Stripe Atlas defaults to DE), and the lion's share of US LLCs / LPs / LLPs. If you need to verify a counterparty exists, hunt brand-new C-corp incorporations before they appear on Crunchbase, or catch shell-company patterns — the DE Division of Corporations is where the truth lives. --- ### What you get per match Each dataset row is one Delaware-incorporated entity match: - **`search_query`** — the input string that matched - **`file_number`** — the official Delaware-assigned file number (numeric, the system of record) - **`entity_name`** — the canonical entity name as registered in DE (uppercase, exact legal entity name including suffix like `INC.`, `LLC`, `L.P.`, `L.L.C.`) - **`state_of_formation`** — `DE` (passthrough — useful when you union this dataset with other state-registry actors) - **`source`** — `icis.corp.delaware.gov` > **Note:** the free public name search returns `file_number` + `entity_name`. Full entity detail (registered agent, status, formation date, entity type) requires a CAPTCHA-protected detail-page step that is not part of this Actor. If you need detail-page data, you can take the `file_number` returned here and run an order via Delaware's official paid API or use a downstream registered-agent service. For directory-listing use cases (KYC, journalism, sourcing, deduping a contact list) the `file_number` + `entity_name` pair is usually all you need. --- ### 6 use cases 1. **VC associate / pre-seed sourcing** — A new Stripe Atlas C-corp filing shows up in DE *before* Crunchbase has heard of the company. Search every founder's last name + product name; the DE filing date is the earliest signal a startup exists. Beats Crunchbase, beats LinkedIn, beats every other paid signal. 2. **KYC / AML compliance** — Verify that a counterparty entity actually exists in Delaware as registered. Cross-check the `file_number` with the company's W-9 / EIN paperwork. If the entity name doesn't return any DE match, that's a red flag. 3. **M&A diligence / target lists** — Hunt every entity matching a parent company's brand keyword to find subsidiaries, holding companies, and SPVs that all incorporate under variations of the parent's name. 4. **Journalism / shell company tracking** — Reporters investigating shell companies, LLCs tied to political donors, or PE-firm portfolio companies frequently use the DE search as the discovery layer (then escalate via paid registered-agent services for the detail). 5. **Lawyer / paralegal litigation prep** — Before suing or sending a demand letter, confirm the defendant is actually a registered DE entity and grab the official legal name + file number for the complaint caption. 6. **Real-estate / counterparty deduping** — Roll up multiple variations of `Acme Properties LLC` / `Acme Holdings LLC` / `Acme Capital, L.P.` to a clean canonical legal-entity list with file numbers as the dedupe key. --- ### Quick start (JSON input) ```json { "entityNames": ["Stripe", "Apple Inc", "Acme"], "maxEntities": 200 } ```` Each name is a partial-match search; results union into a single dataset. ### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/delaware-corporations-search-scraper").call(run_input={ "entityNames": ["Stripe", "OpenAI"], "maxEntities": 100, }) for ent in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{ent['file_number']} — {ent['entity_name']}") ``` ### cURL ```bash curl "https://api.apify.com/v2/acts/nexgendata~delaware-corporations-search-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"entityNames":["OpenAI"],"maxEntities":50}' ``` ### Integrations Pipe results to **Zapier**, **Make.com**, or **n8n**. Common pairings: Salesforce / HubSpot CRM enrichment when you want to verify an account's legal name + file number; deduping a vendor master list; KYC pipelines via Snowflake / BigQuery. *** ### Pricing (Pay Per Event) | Event | Price | |---|---| | Actor start | **$0.00005** | | Per entity match returned | **$0.10** | **Cost calculator:** - 50 matches (a single deep search like "Acme") = **$5.00** - 200 matches (a small KYC batch) = **$20.00** - 500 matches = **$50.00** - 2,000 matches (a large diligence sweep) = **$200.00** Compare to LexisNexis (~$25–$100/document for entity reports), CT Corporation registered-agent services ($100s per lookup), or a paralegal hour ($75–$150/hour). For directory-listing intel this Actor is two orders of magnitude cheaper. *** ### FAQ **Is this the official Delaware Division of Corporations API?** No. Delaware does not publish a free public API for entity search. We submit the same form a human would on `icis.corp.delaware.gov/Ecorp/EntitySearch/NameSearch.aspx` (the official ASP.NET WebForms search) and parse the result table. **Why not return registered agent + entity type + status?** Those fields live on the entity-detail page, which is gated behind a CAPTCHA challenge. Capturing detail data from Delaware is not feasible without their paid commercial API. The free directory listing — file\_number + entity\_name — is what this Actor delivers and is usually enough for the use cases above. **How does partial matching work?** A search for `Stripe` returns every DE entity whose name contains "STRIPE" — including unrelated entities like `STRIPED BASS L.L.C.`. Refine with longer queries (e.g. `Stripe Inc` or `Stripe Capital`) for tighter results, or filter the result set client-side. **Are queries case-sensitive?** No — Delaware normalizes search input to upper-case. **What if my search returns nothing?** Either the entity isn't registered in DE, the name was misspelled, or the entity is filed in another US state (Wyoming, Nevada, etc). Each DE-only result with `state_of_formation: DE` confirms that specific entity is incorporated in Delaware. **Is this dataset commercially usable?** The Delaware DOC public search results are public records issued by a state government. We respect the site's free-access tier (single-threaded, ~500ms between searches). Confirm your specific commercial use case with your legal team if you plan to redistribute the data. *** ### Related actors - 📑 [SEC Form D Scraper](https://apify.com/nexgendata/sec-form-d-scraper) — Form D private placements, often filed by the same DE entities you find here - 🪙 [Startup Funding Tracker](https://apify.com/nexgendata/startup-funding-tracker) — funding rounds + investor data downstream of the DE incorporation event - 🔍 [SEC EDGAR Search](https://apify.com/nexgendata/sec-edgar-search) — surface every public filing tied to a company once you have its name *** [Try this Actor on Apify →](https://apify.com/nexgendata/delaware-corporations-search-scraper) | [Get a free Apify account →](https://apify.com/nexgendata?fpr=2ayu9b) # Actor input Schema ## `entityNames` (type: `array`): List of entity name strings to search. Partial-match — 'Stripe' matches 'STRIPE 5 DELAWARE L.P.', 'STRIPE-A-LOT, INC.', etc. Each search returns up to ~50 matching entities. Multiple strings = multiple searches. ## `maxEntities` (type: `integer`): Hard cap on total entities returned across ALL searches in this run (1–2000). Each entity is one dataset row. ## Actor input object example ```json { "entityNames": [ "Stripe" ], "maxEntities": 5 } ``` # 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 = { "entityNames": [ "Stripe" ], "maxEntities": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/delaware-corporations-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "entityNames": ["Stripe"], "maxEntities": 5, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/delaware-corporations-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "entityNames": [ "Stripe" ], "maxEntities": 5 }' | apify call nexgendata/delaware-corporations-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/delaware-corporations-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🏛️ Delaware Corporations Search — DE Entity Registry", "description": "Search the Delaware Division of Corporations entity registry. For each entity name (partial match), returns matching DE entities — file_number + entity_name. KYC, AML compliance, VC sourcing, M&A intelligence, journalism. Stripe Atlas + every DE C-corp incorporation appears here.", "version": "0.0", "x-build-id": "nTd2npZfC6djcQ91G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~delaware-corporations-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-delaware-corporations-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~delaware-corporations-search-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-delaware-corporations-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~delaware-corporations-search-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-delaware-corporations-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "entityNames" ], "properties": { "entityNames": { "title": "Entity name searches", "type": "array", "description": "List of entity name strings to search. Partial-match — 'Stripe' matches 'STRIPE 5 DELAWARE L.P.', 'STRIPE-A-LOT, INC.', etc. Each search returns up to ~50 matching entities. Multiple strings = multiple searches.", "items": { "type": "string" } }, "maxEntities": { "title": "Max entities (across all searches)", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on total entities returned across ALL searches in this run (1–2000). Each entity is one dataset row.", "default": 50 } } }, "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 } } } } } } } } } } ```