a16z Portfolio Scraper
Pricing
from $750.00 / 1,000 portfolio companies
a16z Portfolio Scraper
Canonical scraper for the full Andreessen Horowitz (a16z) portfolio: 800+ companies with sector, stage, year, founders, status, website, description. Built for VC sourcing analysts, M&A analysts, biz dev, recruiters.
Pricing
from $750.00 / 1,000 portfolio companies
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Stephan Corbeil
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a16z Portfolio Scraper — Andreessen Horowitz Investments Directory
The canonical sourcing dataset for the a16z portfolio. Pulls all ~836 Andreessen Horowitz portfolio companies straight from a16z.com/portfolio with sector, stage, year of investment, founders, status, website, and description. Filter by focus area, stage, or vintage year.
Built for analysts who need clean, structured a16z portfolio data on demand — no scraping infrastructure, no maintenance, no broken selectors.
Who this is for
- VC sourcing analysts — map a16z's bets by sector and vintage to find similar-stage companies your fund should be looking at
- M&A analysts — surface a16z portfolio companies in a given sector with current status (active vs exited) for landscape decks
- Biz dev / partnerships — target a16z-backed startups in your category for outbound; pre-qualified by a top-tier VC
- Recruiters & founders — identify hiring companies inside a high-signal portfolio
- Founders & operators — competitor and adjacency mapping for diligence and positioning
Output fields
Every record includes:
| Field | Description |
|---|---|
name | Company name |
sector / sectors | Primary sector + full list (Crypto, Enterprise, Bio + Health, Fintech, Consumer, American Dynamism, Games, Infra, CLF) |
focus_areas | a16z fund focus area tags |
stage / stages | Investment stage (Seed, Venture, Growth, M&A, IPO) |
investment_year | Year of initial a16z check |
investment_date | Raw date string of initial investment |
founders | Founder names (when published by a16z) |
website | Company URL |
status | Active / Exits / mixed |
is_active / is_exited | Boolean convenience flags |
acquirer | Acquiring company name if exited via M&A |
ticker_symbol | Public ticker if IPO'd |
description | Company description |
logo, linkedin, twitter, instagram | Brand assets and social handles |
permalink | a16z's company profile URL |
a16z_company_id | Stable a16z internal ID |
Input
{"sectorFilter": "Enterprise", // optional — Crypto, Enterprise, Bio + Health, Fintech, ..."stageFilter": "Growth", // optional — Seed, Venture, Growth, M&A, IPO"yearFromTo": { "from": 2020, "to": 2025 }, // optional — investment year range"maxResults": 100 // 1–1000 (default 100; full portfolio is ~836)}
All filters are optional. Combine them: e.g. sectorFilter: "Crypto" + yearFromTo: {from: 2023} returns every crypto company a16z has backed since 2023.
Pricing — Pay-Per-Event
| Event | Price |
|---|---|
| Actor start | $0.00005 |
| Per portfolio company record | $0.75 |
Cost examples
- 50 companies in your sector → $37.50
- Full a16z portfolio (~836) → ~$627
- 25 companies (one Series B sector slice) → $18.75
Premium pricing reflects the sourcing-analyst use case: VC associates bill $200–500/hr; a single qualified company surfaced from this data covers the entire run cost many times over.
Companion actors
For broader sourcing coverage, pair with:
- YC Companies Directory — every Y Combinator company by batch and industry
- Startup Funding Tracker — venture funding rounds across firms
Together these three give you a complete top-tier-VC + accelerator picture of the early-stage landscape.
Notes on data freshness
- Pulls live from a16z.com on every run — no cache, no stale data
- a16z publishes the portfolio as static JSON embedded in the page, so this scraper is fast and resilient (no headless browser, no selector drift)
- Partner names are not published on a16z's portfolio index — that field is returned as an empty string. If a16z adds it, this actor will populate it without a schema change.
Example use cases
- "Pull every a16z American Dynamism company from 2022 onward"
→
sectorFilter: "American Dynamism",yearFromTo: {from: 2022} - "All a16z-backed crypto companies still active"
→
sectorFilter: "Crypto", filteris_active: trueon the dataset - "a16z's bio + health exits"
→
sectorFilter: "Bio + Health",stageFilter: "M&A" - "Full vintage 2024 cohort"
→
yearFromTo: {from: 2024, to: 2024},maxResults: 1000