🏛️ Delaware Corporations Search Scraper — Live Delaware Division of Corporations entity-registry lookup

The Delaware Corporations Search Scraper queries the Delaware Division of Corporations' public entity-search system (the canonical registry for ~1.8M Delaware entities — corporations, LLCs, LPs, statutory trusts). Pass a company name, file number, or list of either; receive entity name, file number, formation date, entity status, registered agent, agent address, and last annual-report year. Useful for KYC, due-diligence, fund formation, and tracking newly-incorporated entities.

Why Delaware Corporations Search Scraper Beats Delaware DOC, Stripe Atlas Data, and Carta Cap Tables

Source	Price	What you get
Delaware DOC (official)	$10/search	$10 per file lookup, no bulk API
Stripe Atlas Data	Bundled with Atlas	Only Atlas-formed entities, not all DE corps
Carta Cap Tables	$Custom	Only Carta-issuer entities
Crunchbase	$588/mo+	Broad, but no DE-registry-native fields
OpenCorporates	Free + paid API	Cached DE data, often stale; rate limits
NexGenData Delaware DOC Scraper	PPE per query	Live DE registry: file number, entity name, status, agent, formation date — JSON

What You Get

• Entity file number (canonical Delaware ID)
• Entity name (exact registry spelling)
• Entity type (Corporation / LLC / LP / Statutory Trust / etc.)
• Entity status (Good Standing / Voided / Cancelled / Forfeited / Dissolved)
• Formation date / incorporation date
• Last annual-report year (or 'N/A' for entities not required to file)
• Registered agent name
• Registered-agent address (street, city, state, ZIP)
• Foreign-jurisdiction indicator (when applicable)
• Stock detail summary (when public — authorized shares, par value)
• History flag (whether entity has merged / changed name)

Use Cases

• KYC / fund formation — automate confirmation that a counterparty's Delaware entity is real, in good standing, and matches the file-number they provided.
• Due-diligence pipeline — for every M&A target, pull DE entity status + formation date + registered agent to slot into your DD memo.
• Stripe-Atlas-alternative diligence — verify the underlying registry data behind a startup's Atlas / Carta / Clerky paperwork.
• Sales-prospecting — newly-incorporated DE entities are warm leads for accounting, payroll, banking, and legal-tech services.
• Litigation research — pre-suit, confirm defendant's current DE registered-agent for proper service.
• Compliance & sanctions screening — confirm an entity's current status (Voided / Forfeited entities are commonly red flags).
• Cap-table / equity software (Carta / Pulley / LTSE) — auto-prefill entity metadata for customers from the registry of truth.

Quick Start

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "queries": ["STRIPE, INC.", "OPENAI, OPCO LLC"],
    "fileNumbers": ["5234567"]
}

run = client.actor("nexgendata/delaware-corporations-search-scraper").call(run_input=run_input)

# Iterate results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Or fetch all in one go
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(f"Got {len(items)} rows")

You can also run from the Apify CLI:

apify call nexgendata/delaware-corporations-search-scraper --input='{
    "queries": ["STRIPE, INC.", "OPENAI, OPCO LLC"],
    "fileNumbers": ["5234567"]
}'

Or from the web console: open the actor page on Apify, click Try for free, paste the input JSON, hit Run. Results stream into the dataset which you can export as JSON / JSONL / CSV / Excel / HTML.

Scheduling

This actor pairs cleanly with Apify Scheduler (built into the platform) — schedule it hourly / daily / cron-style and dedupe results into your warehouse on the stable primary-key fields documented above. Webhook outputs are supported, so you can fire a Slack / Zapier / Make / n8n / your-own-API call the moment new rows materialize.

Integration patterns

• CRM enrichment: pipe rows directly into HubSpot / Salesforce / Pipedrive via Zapier or Make
• Warehouse: append to BigQuery / Snowflake / Postgres on a daily schedule via Apify → S3 → warehouse ingest
• LLM-ready RAG: each row is already JSON-flat; embed the plain-text body field and store in pgvector / Pinecone / Weaviate
• Slack alerts: filter by your trigger keyword and fire a Slack webhook for matches in real-time

Pricing

This actor runs on Apify's pay-per-event (PPE) model — you pay only for results, not run-time:

• $0.10 per DE entity lookup — the primary event (one charge per row pushed to the dataset)
• 0.00005 USD per actor-start GB-event — actor start cost (one-time per run, sub-cent at typical memory)

No subscriptions, no minimums, no per-CPU-second charges. Apify's $5/month free tier covers most experiments. Browse 200+ buyer-intent actors at https://apify.com/nexgendata?fpr=2ayu9b

Cost worked example

A daily scheduled run pulling 500 fresh rows costs roughly:

• 500 rows × primary-event price (~$0.04-0.05) = $20-25
• 1 actor start × ~$0.00005 = negligible

So ~$20-25 per 500-row daily run, or ~$0.04-0.05 per row all-in. There are no surprise compute, storage, or proxy add-ons — proxy rotation is bundled into the per-row price.

Why pay-per-event beats time-based pricing

• Predictable: you know your cost from row count before the run starts
• Failure-safe: if a target site changes its HTML and the actor returns 0 rows, you pay 0 (vs paying for the CPU-seconds anyway under time-based pricing)
• Easy to attribute: 1 row = 1 unit cost, so per-customer / per-pipeline cost accounting is trivial

Sister Actors in the NexGenData Fleet

Use case	Actor
Singapore ACRA UEN registry	singapore-acra-companies
Hong Kong Companies Registry	hk-companies-registry
India MCA company search	india-mca-companies
Y Combinator alumni database	yc-companies-directory-scraper
SEC Form D private placement filings	sec-form-d-scraper
Crunchbase news & funding announcements	crunchbase-news-scraper
PR Newswire press release stream	pr-newswire-press-releases-scraper

(All sister actors share the same PPE billing and Apify-standard JSON output, so you can compose multi-step pipelines without rewriting input/output adapters.)

FAQ

Q: Is the data live from Delaware?

A: Yes — each query hits the DE Division of Corporations' public search; results are real-time.

Q: Why not query DE directly?

A: The official DE site charges $10 per file lookup and has a clunky form-based UI without bulk export. This actor wraps it with sane I/O, bulk input, retry, and structured JSON output.

Q: Can I search by name or file number?

A: Both — pass either. Name searches return all entities with matching prefix; file-number searches return the single entity.

Q: How does this compare to OpenCorporates?

A: OpenCorporates caches DE data but is often hours-to-days behind and rate-limited on the free tier. This actor reads the live registry.

Q: Is scraping DE's public site legal?

A: The DE search is a public-records system designed for unauthenticated lookups. Use is widely accepted for due-diligence and compliance work.

Q: Output format?

A: JSON, JSONL, CSV, Excel via Apify dataset export. Schema is stable.

Schema Stability & Versioning

This actor follows NexGenData's additive-only schema contract:

• New fields may be added at any time — they will simply appear as new keys in the JSON output, defaulting to null for older runs.
• Existing fields are never renamed or removed without a major-version bump and an advance changelog notice.
• Field semantics (units, timezones, value-sets) are never silently changed — if we need to change semantics, we add a new field with the new name and deprecate (but keep) the old one for at least 90 days.

This means you can build production pipelines on this actor and not worry about a Tuesday breaking a Friday's ETL job. If you spot an unexpected change, reach out via the actor's Apify Issues tab and we'll look at it the same day.

Compliance & Legal

• The actor reads public, unauthenticated pages the same way a logged-out browser does.
• All requests route through Apify's compliant residential-proxy infrastructure with polite rate limiting.
• You are responsible for ensuring your downstream use complies with the target site's Terms of Service, your jurisdiction's data-protection laws (GDPR, CCPA, UK DPA, etc.), and any sector-specific rules (HIPAA, PCI, etc.).
• We do not collect, store, or transmit credentials for the target site.
• Most read-only competitive-intelligence and lead-generation use is widely accepted. Consult counsel before bulk redistribution.

Support

Open an issue on the actor's Apify Issues tab — the NexGenData team responds within one business day. For feature requests (new fields, new input filters), include the use case so we can prioritize on it.

About NexGenData

NexGenData publishes 200+ buyer-intent actors covering SEC filings, YC alumni, Delaware DOC, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, ATS job boards, real-estate marketplaces, and more. All actors are pay-per-result and share a stable, additive-only JSON schema. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

---

SEO: 🏛️ Delaware Corp Search Scraper — DE Registry Lookup API