📈 General Atlantic Investments Report — Target Book

Build a filtered, normalized target book of General Atlantic's published investments, with a link to GA's own page behind every company.

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

Output is one investment 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.generalatlantic.com.

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

📊 Sample Output

Real rows from run RiLcq1s5qdtZ6wXif on build 0.1.21 (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	source_is	published_at	report_id
team-services-group	TEAM Services Group	TEAM Services Group is a national provider of personal care and househ	General Atlantic's own published page for this investment	2026-06-10T15:53:32	ffd7b1e9ac21b44b
					ffd7b1e9ac21b44b

The run finished with the status message: PARTIAL: parsed=10/406 (2.5%); maxCompanies=10 bounded the sweep to the first 10 of 406 companies in the order General Atlantic's own API lists them | matched=1 | coverage=10/406 complete=False | portfolio-company-record

✅ 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. team-services-group
• company_name (string/null) — e.g. TEAM Services Group
• description (string/null) — e.g. TEAM Services Group is a national provider of personal care and household employ
• sector (string/null) — e.g. Healthcare
• region (string/null) — e.g. United States
• year_invested (integer/null) — e.g. 2026
• year_exited (integer/null) — null in every sample row
• year_exited_note — e.g. General Atlantic publishes Year Exited only on the 24-row listing page, not on t
• source_url (string/null) — e.g. https://www.generalatlantic.com/investment/team-services-group/
• source_is — e.g. General Atlantic's own published page for this investment
• published_at (string/null) — e.g. 2026-06-10T15:53:32
• modified_at (string/null) — e.g. 2026-06-10T15:53:33
• record_type (string) — e.g. investment
• report_id (string) — e.g. ffd7b1e9ac21b44b
• generated_at — e.g. 2026-09-17T17:23:32Z
• firm — e.g. General Atlantic
• source_of_record — e.g. https://www.generalatlantic.com/wp-json/wp/v2/investment
• filter — e.g. {"sectors": ["Healthcare"], "regions": [], "year_invested_from": null, "year_inv
• filter_is_active — e.g. True
• universe_total (integer/null) — e.g. 406
• companies_examined (integer/null) — e.g. 10
• companies_unreadable — e.g. 0
• coverage_complete (boolean/null) — e.g. False
• coverage_pct (number/null) — e.g. 2.5
• coverage_caveat (string/null) — e.g. maxCompanies=10 bounded the sweep to the first 10 of 406 companies in the order
• match_count (integer/null) — e.g. 1
• terminal (string/null) — e.g. PARTIAL
• rate_limit_per_sec — e.g. 2
• requests_attempted — e.g. 15
• requests_failed — e.g. 0
• vocabularies_in_examined_set — e.g. {"sectors": {"Technology": 4, "Consumer": 3, "Financial Services": 2, "Healthcar
• exit_status_not_available — e.g. General Atlantic publishes Year Exited only on the 24-row listing page, not on t
• no_match_is_an_answer — null in every sample row
• nothing_is_inferred — e.g. sector, region and year invested are carried verbatim from General Atlantic's ow
• report_markdown — e.g. # General Atlantic investments — filtered target book **Generated** 2026-09-17T1
• report_kv_key — e.g. INVESTMENTS_REPORT_ffd7b1e9ac21b44b

3. An optional field sits in the middle of the record row

Company | Description | Sector | Region | Year Invested
<description> | [View Site] | <sector> | <region> | <year>

View Site is present on some companies and absent on others. A parser that counts positions from the header is off by one on every company without a website link — it reports the region as the sector. Values are located by anchoring on the four-digit year and walking backwards, and both traps are asserted against verbatim excerpts of live pages.

Output

• one investment record per match — name, description, sector, region, year invested, and the GA URL it came from
• one investments_report record — the filter, coverage numbers, 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 + 1 × $0.05 portfolio-company-record = $0.07 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 RiLcq1s5qdtZ6wXif, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "slug": "team-services-group",
  "company_name": "TEAM Services Group",
  "description": "TEAM Services Group is a national provider of personal care and household employment services across the United States.",
  "sector": "Healthcare",
  "region": "United States",
  "year_invested": 2026,
  "year_exited": null,
  "year_exited_note": "General Atlantic publishes Year Exited only on the 24-row listing page, not on the individual investment pages this book is built from. No exit status is reported for any company, and none should be inferred from its absence.",
  "source_url": "https://www.generalatlantic.com/investment/team-services-group/",
  "source_is": "General Atlantic's own published page for this investment",
  "published_at": "2026-06-10T15:53:32",
  "modified_at": "2026-06-10T15:53:33",
  "record_type": "investment",
  "report_id": "ffd7b1e9ac21b44b"
}

🔧 How it works

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

Every report states, in the record and on the first line of the brief:

universe_total       406     investments General Atlantic publishes
companies_examined   150     investments this run actually read
coverage_complete    false
coverage_caveat      "maxCompanies=150 bounded the sweep to the first 150 of 406"

A company missing from a partial book has not been ruled out — it was never read. Raise maxCompanies toward 406 for a complete book; budget about a minute per 120 investments.

1. /investments/ serves 24 of 406, and its pagination is fake

The page is server-rendered and its 24 rows are real. But GA publishes 406 investments, and every attempt to page or filter returns the identical first 24 — control vs test, 2026-07-31:

/investments/                    -> 24 rows, first = Grupo Águilas
/investments/page/2/             -> 24 rows, first = Grupo Águilas
/investments/page/3/             -> 24 rows, first = Grupo Águilas
/investments/page/17/            -> 24 rows, first = Grupo Águilas
/investments/page/18/            -> 24 rows, first = Grupo Águilas
/investments/?sector=technology  -> 24 rows, first = Grupo Águilas

The server ignores both. This actor never reads that page, and offers no filter that depends on it — selling a parameter the source discards is selling a lie.

2. The list API carries no attributes

/wp-json/wp/v2/investment returns all 406 with title, slug, canonical link and dates — but acf is [] and no taxonomy is registered for the investment type. Sector, region and year invested exist only on each investment's own page, so the book is built list-then-detail.

What this source does not carry

Exit status is not available. Year Exited appears on the 24-row listing but on no individual investment page, so a 406-company book cannot state it. This actor does not guess one, and says so in every report rather than leaving you to assume every company is still held.

Filters

filter	what it does
sectors	Technology, Financial Services, Consumer, Healthcare, Life Sciences, Energy Transition
regions	United States, EMEA, China, Latin America, India, Southeast Asia
yearInvestedFrom / yearInvestedTo	year range, 2000–2026 in the measured corpus
nameContains	free text across company name and GA's own description
maxCompanies	how much of the 406 to read — default 150, a partial sweep

Filtering runs here, over parsed fields, because the site's own filter is measurably ignored. Every parameter therefore provably changes the result set, proven control-vs-test in the suite.

Each report returns vocabularies_in_examined_set — the sectors and regions counted from the investments this run read, not a hard-coded list. (For the record: GA's own site navigation lists an Infrastructure sector, and no investment in the 406 carries it.)

Reading policy

generalatlantic.com/robots.txt is a zero-byte file — no rules at all. This actor paces itself at 2 requests/second anyway, with a contact User-Agent. The rate is not an input.

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:

• 2 portfolio company records: $0.02 start + 2 × $0.05 = $0.12
• 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: PARTIAL: parsed=10/406 (2.5%); maxCompanies=10 bounded the sweep to the first 10 of 406 companies in the order General Atlantic's own API lists them | matched=1 | coverage=10/406 complete=False | port.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by www.generalatlantic.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.generalatlantic.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.generalatlantic.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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