📈 NEA Portfolio Report — Filtered VC Target Book

Build a filtered, normalized target book of New Enterprise Associates' portfolio, with a link to NEA's own page behind every single company.

Built for deal sourcing, competitive mapping and BD teams who need a workable list instead of a wall of logos.

Output is one portfolio_company row per result; billing is pay-per-event, the value event being one portfolio company record (a $0.02 start fee per run, then $0.05 per portfolio company record). Source: www.nea.com.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out.

📊 Sample Output

Real rows from run dvWgsn692GVDBbBSN on build 0.1.25 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

slug	company_name	description	sectors	source_is	report_id
repros-therapeutics	Repros Therapeutics	Biopharmaceutical company developing therapeutic drugs and formulation	["Healthcare", "Life Sciences"]	NEA's own published portfolio page for this company	ef8b6207766db2a8
radiology-partners	Radiology Partners	Provides a comprehensive professional radiology services solution deli	["Healthcare", "Digital Health"]	NEA's own published portfolio page for this company	ef8b6207766db2a8
brenig	Brenig	Brenig is a small molecule drug development company that utilizes an A	["Healthcare", "Life Sciences"]	NEA's own published portfolio page for this company	ef8b6207766db2a8
					ef8b6207766db2a8

The run finished with the status message: CAPPED: parsed=10/917 (1.1%); maxCompanies=10 bounded the sweep to the first 10 of 917 companies in the order NEA's sitemap lists them | matched=3 | coverage=10/917 complete=False | portfolio-company-record: delivered=3

✅ 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):

• slug (string/null) — e.g. repros-therapeutics
• company_name (string/null) — e.g. Repros Therapeutics
• description (string/null) — e.g. Biopharmaceutical company developing therapeutic drugs and formulations designed
• sectors (array/null) — e.g. ["Healthcare", "Life Sciences"]
• first_invested_year (integer/null) — e.g. 2009
• stage (string/null) — e.g. Public/PIPES
• status (string/null) — e.g. IPO/Acquired
• status_detail (string/null) — e.g. NASDAQ: RPRX (old) Acquired by Allergan
• themes (array/null) — e.g. ["AI"]
• source_url (string/null) — e.g. https://www.nea.com/portfolio/repros-therapeutics
• source_is — e.g. NEA's own published portfolio page for this company
• record_type (string) — e.g. portfolio_company
• report_id (string) — e.g. ef8b6207766db2a8
• generated_at — e.g. 2026-09-17T17:37:38Z
• firm — e.g. New Enterprise Associates (NEA)
• source_of_record — e.g. https://www.nea.com/sitemap.xml
• filter — e.g. {"sectors": ["Healthcare"], "stages": [], "statuses": [], "themes": [], "first_i
• filter_is_active — e.g. True
• universe_total (integer/null) — e.g. 917
• companies_examined (integer/null) — e.g. 10
• companies_unreadable — e.g. 0
• dead_sitemap_entries — e.g. 0
• coverage_complete (boolean/null) — e.g. False
• coverage_pct (number/null) — e.g. 1.1
• coverage_caveat (string/null) — e.g. maxCompanies=10 bounded the sweep to the first 10 of 917 companies in the order
• match_count (integer/null) — e.g. 3
• terminal (string/null) — e.g. CAPPED
• rate_limit_per_sec — e.g. 2
• requests_attempted — e.g. 11
• requests_failed — e.g. 0
• vocabularies_in_examined_set — e.g. {"sectors": {"Technology": 7, "Enterprise": 4, "Healthcare": 3, "Life Sciences":
• no_match_is_an_answer — null in every sample row
• nothing_is_inferred — e.g. status and stage are carried verbatim from NEA's own page for each company. This
• report_markdown — e.g. # NEA portfolio — filtered target book **Generated** 2026-09-17T17:37:38Z **Firm
• report_kv_key — e.g. PORTFOLIO_REPORT_ef8b6207766db2a8

Output

• one portfolio_company record per match — name, description, sectors, themes, first invested year, stage, status, status detail, and the NEA URL it came from
• one portfolio_report record — the filter, the coverage numbers, the vocabularies
• one source_receipt — terminal, HTTP statuses, request counts, pacing
• a rendered markdown brief in the key-value store

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

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

{
  "sectors": [
    "Healthcare"
  ],
  "maxCompanies": 10
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 3 × $0.05 portfolio-company-record = $0.17 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
  "sectors": [
    "Healthcare"
  ],
  "maxCompanies": 10
}

A bounded run for checking the field shape before scheduling.

3. A full-size run

{
  "sectors": [
    "Healthcare"
  ],
  "maxCompanies": 10
}

The same input run on a schedule; each run is billed only for what it delivers.

🧾 JSON sample record

One real record from run dvWgsn692GVDBbBSN, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "slug": "repros-therapeutics",
  "company_name": "Repros Therapeutics",
  "description": "Biopharmaceutical company developing therapeutic drugs and formulations designed to treat hormonal and reproductive system disorders.",
  "sectors": [
    "Healthcare",
    "Life Sciences"
  ],
  "first_invested_year": 2009,
  "stage": "Public/PIPES",
  "status": "IPO/Acquired",
  "status_detail": "NASDAQ: RPRX (old) Acquired by Allergan",
  "themes": [],
  "source_url": "https://www.nea.com/portfolio/repros-therapeutics",
  "source_is": "NEA's own published portfolio page for this company",
  "record_type": "portfolio_company",
  "report_id": "ef8b6207766db2a8"
}

🔧 How it works

Source. The actor reads www.nea.com — endpoints: https://www.nea.com/portfolio, https://www.nea.com/portfolio/, https://www.nea.com/sitemap.xml. 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. Pacing: RATE_PER_SEC=2.0, MIN_INTERVAL=1.0.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

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

Coverage is the headline, not the footnote

This actor sells a filtered book, so the worst thing it can do is hand you a short list that reads like a complete one. Every report states, in the record and on the first line of the brief:

universe_total       914     companies NEA publishes
companies_examined   150     companies this run actually read
coverage_complete    false
coverage_caveat      "maxCompanies=150 bounded the sweep to the first 150 of 914
                      companies in sitemap order"

A company missing from a partial book has not been ruled out — it was never read. Raise maxCompanies toward 914 for a complete book; budget about a minute per 120 companies.

Honouring your page budget perfectly still does not count as coverage. Coverage is measured against NEA's portfolio, not against the run's own limit.

1. nea.com/portfolio is not the portfolio

The page the phrase "scrape the portfolio" points at is a 30-logo featured carousel. It carries no company name in text, no sector, no stage and no status — nothing to filter on.

The universe comes from the site's own declared sitemap: 914 /portfolio/ URLs out of 1,333, measured 2026-07-31. Each company's detail page carries the fields that make a target book: sectors, first-invested year, stage, company status and NEA's own one-line description.

2. Values must be sliced between labels, never by token offset

The detail page renders as a flat label/value stream:

Sectors | Technology | Enterprise | First Invested | 2014 | Early
| Company Status | Private | Associated Team | ... | Theme | ... | Website

Two traps, both measured on real pages and both closed:

• A current holding has no status detail. The token after the status is the next label. An offset parser reports every live company as status_detail = "Associated Team".
• An exited company's block is the last one on the page. /portfolio/polyserve has no team, theme or website section, so slicing "to the next label" ran the status detail into the site footer: "Acquired by Hewlett Packard © NEA, 2026 Follow us on social media…" — boilerplate glued onto a real field, on exactly the exited companies a buyer cares most about.

Both are asserted against verbatim excerpts of the live pages in the test suite.

Nothing is inferred

status and stage are carried verbatim from NEA's page. This actor never decides that a company exited, failed, or is still held, and it never scores or ranks anyone. It reports what NEA publishes and links to it.

NEA's published portfolio is the whole of this report. It is not a complete record of NEA's investments — a firm publishes what it chooses to. This is not investment advice.

Filters

filter	what it does
sectors	keep companies tagged with any of these, e.g. Healthcare, Technology
themes	keep companies tagged with any of these, e.g. AI, Infrastructure
stages	stage at first investment, e.g. Seed, Early, Growth
statuses	company status as NEA publishes it, e.g. Private, Acquired
firstInvestedFrom / firstInvestedTo	year range of NEA's first investment
nameContains	free text across company name and NEA's description
maxCompanies	how much of the 914 to read — default 150, a partial sweep

Filtering runs here, over parsed fields, because the source offers no server-side filter at all. Every parameter therefore provably changes the result set, proven control-vs-test in the suite — none of them can be quietly discarded by the site.

Each report also returns vocabularies_in_examined_set: the sectors, stages and statuses counted from the companies this run actually read, not from a hard-coded list.

Reading policy

nea.com/robots.txt reads User-agent: * / Allow: / with no crawl-delay. This actor paces itself at 2 requests/second anyway, with a contact User-Agent. The rate is not an input — a buyer cannot dial it up.

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

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Portfolio company record (portfolio-company-record)	$0.05	$0.04	$0.04	$0.03

Worked at the live Free-tier price:

• 4 portfolio company records: $0.02 start + 4 × $0.05 = $0.22
• 25 portfolio company records: $0.02 start + 25 × $0.05 = $1.27
• 100 portfolio company records: $0.02 start + 100 × $0.05 = $5.02

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 512 MB.

Yield on the sample run: CAPPED: parsed=10/917 (1.1%); maxCompanies=10 bounded the sweep to the first 10 of 917 companies in the order NEA's sitemap lists them | matched=3 | coverage=10/917 complete=False | portfolio-company-.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by www.nea.com. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself, 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 (www.nea.com) 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 — retry later or narrow the input. A zero-row run bills the start fee only.

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 VC portfolio reports actors?
A: Same output shape and billing model; this one covers www.nea.com. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source (RATE_PER_SEC=2.0, MIN_INTERVAL=1.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Fewer rows than expected → the source had fewer items in scope → widen the input.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

🔗 Related Actors

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