# Index Ventures Portfolio Scraper (`nexgendata/index-ventures-portfolio-scraper`) Actor The only structured Index Ventures portfolio feed (~386 cross-Atlantic companies). - **URL**: https://apify.com/nexgendata/index-ventures-portfolio-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 $500.00 / 1,000 portfolio companies 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 ## Index Ventures Portfolio Scraper **The only structured feed of the full Index Ventures portfolio.** Returns ~386 companies across the firm's cross-Atlantic catalog — name, sector, stage Index entered at (Seed vs Growth/Select), Index Team partner, founders, website, IPO/public status with ticker, geography (US / Europe / Asia / LatAm / Africa / Australasia). One dataset row per portfolio company. ### Why this exists Index Ventures is the **leading dual-coast (US + EU) generalist VC** — offices in London, San Francisco and New York, ~$15B AUM, partners since 1996. Its portfolio is the canonical map of cross-Atlantic startup investing, including: - **US winners:** Datadog (NASDAQ:DDOG), Confluent (NASDAQ:CFLT), Discord, Robinhood (NASDAQ:HOOD), Roblox (NYSE:RBLX), Pure Storage (NYSE:PSTG), Dropbox (NASDAQ:DBX), Etsy (NASDAQ:ETSY), Hugging Face, Notion, Figma, Scale AI - **European winners:** Adyen, Revolut, Wise, Deliveroo (LON:ROO), Just Eat Takeaway, King (Candy Crush), Skype, Farfetch (NYSE:FTCH), Boku (LON:BOKU) - **AI/ML breakouts:** Hugging Face, Cohere, ElevenLabs, Anysphere/Cursor, Glean, Sierra, 7AI Index's own public listing at https://www.indexventures.com/companies/ shows the full ~386-company catalog **in one page** with no export, no CSV, no JSON API. This actor parses the listing once, fans out to each `/companies/{slug}/` detail page in parallel, and returns a clean structured dataset. ### What you get Per portfolio company: - `name` — company name - `slug` — URL-safe identifier (matches the Index detail page slug) - `url` — Index Ventures detail page URL - `description` — company tagline / one-liner - `sector` / `sectors[]` — Index's own sector taxonomy: `aiml`, `business-applications`, `data`, `entertainment`, `fintech`, `future-of-work`, `healthcare`, `media`, `mobility`, `open-source`, `retail`, `security`, `talent` - `stage_invested` — `Seed` / `Growth (Select)` / `Seed + Growth` (the stage Index first entered at, derived from Index's `data-backed` listing attribute) - `year_invested` — `null` (Index does NOT publish historical investment years; see "Limitations") - `partner` / `partners[]` — Index Team deal partner names (Danny Rimer, Mark Goldberg, Mike Volpi, Sarah Cannon, Hannah Seal, Martin Mignot, Jan Hammer, …) - `founders[]` — founder/CEO names - `website` — company website - `status` — `Active (Private)` or `Public/IPO (EXCHANGE:TICKER)` derived from the ticker badge Index displays for IPO'd companies - `ticker` — stock ticker symbol if public, else `null` - `geography` — `US` / `Europe` / `Asia` / `LatAm` / `Africa` / `Australasia` (slash-joined when multi-region, e.g. `US/Europe`) - `regions[]` — raw region tags from Index's listing - `source_firm` — `Index Ventures` - `scraped_at` — UTC ISO timestamp of this run ### Input | Field | Type | Description | |------|------|-------------| | `geographyFilter` | enum | `all` (default) / `US` / `Europe` / `Asia` / `LatAm` / `Africa` / `Australasia`. Matches against Index's listing region tags. | | `sectorFilter` | string[] | Optional substring filter on sector tags (e.g. `["aiml", "fintech"]`). | | `stageFilter` | string[] | Optional substring filter on derived stage. `["Seed"]`, `["Growth"]`, etc. | | `statusFilter` | string[] | Optional substring filter: `["Public"]` or `["IPO"]` for listed companies, `["Active"]` for still-private. | | `yearFromTo` | object | Advisory only — Index does not publish years. Leave bounds null. | | `maxResults` | integer | Cap on dataset rows (1–1000, default 100). | ### Use cases - **European startup landscape.** Set `geographyFilter=Europe` to get every Index-backed European company in one structured pull — the de facto map of the top tier of European VC. - **Cross-Atlantic M&A targeting.** Filter `statusFilter=["Active"]` + `sectorFilter=["fintech"]` to find Index's private fintech roster (Revolut, Plaid alumni network, etc.) — Index portfolio companies are prime acquisition candidates for US strategic buyers crossing into the EU and vice versa. - **AI/ML deal sourcing.** `sectorFilter=["aiml"]` returns Index's AI bet roster: Hugging Face, Cohere, ElevenLabs, Anysphere (Cursor), Sierra, Glean, Scale AI, 7AI. - **Index Select (growth-stage) coverage.** `stageFilter=["Growth"]` returns only the Index Select fund's growth-stage investments — useful for late-stage sourcing and pre-IPO target lists. - **IPO performance tracking.** `statusFilter=["Public"]` returns just the 75+ Index portfolio companies that have IPO'd, with their tickers — a clean Index-vintage benchmark portfolio for public-market analysts. - **Deal-team mapping.** Cross-reference `partners[]` with LinkedIn enrichment to map which Index partners lead which sectors. ### Related actors - **Sequoia Capital Portfolio Scraper** — Sequoia US + Peak XV India/SEA, ~710 companies. - **a16z Portfolio Scraper** — Andreessen Horowitz portfolio. - **Bessemer Portfolio Scraper** — Bessemer Venture Partners portfolio. - **YC Companies Scraper** — Y Combinator alumni catalog. Run these in combination to dedupe and overlap-analyze the top of the global VC pipeline. ### Limitations - **Year of investment is not published.** Index's portfolio pages do not show the year Index first invested. Sister scrapers (Sequoia, Bessemer) include this; Index does not. The `year_invested` field is always `null`, and any `yearFromTo` filter is honored by returning zero rows. - **Acquired companies are pruned, not labeled.** When an Index portfolio company is acquired, Index removes it from the live listing rather than relabeling it as "Acquired". The actor therefore reports only `Active (Private)` and `Public/IPO (TICKER)` statuses. To recover historical exits, snapshot the dataset over time and diff slug-by-slug. - **`stage_invested` reflects Index's fund split, not the company's round.** `Seed` = Index entered at the seed round (often via Index Origin, the dedicated seed fund); `Growth (Select)` = entered via Index Select, the growth-stage fund. The company's most-recent round may be much later. ### Pricing - $0.50 per portfolio company returned (primary event) - $0.00005 per actor start (covers token cost) A full-portfolio pull (~386 companies, `maxResults=1000`) costs about **$193**. A focused European AI/ML pull (~30 companies) costs about **$15**. ### Data freshness Index Ventures updates its companies page periodically — typically when new investments close or when companies IPO and the ticker badge is added. This actor reflects whatever is live on the page at run time. Re-run weekly for a fresh sourcing pipeline. # Actor input Schema ## `geographyFilter` (type: `string`): Which geography to restrict to. Index Ventures is a true dual-coast firm with offices in London, San Francisco and New York and portfolio companies across all continents. Choose 'US' for North America-headquartered companies (Datadog, Confluent, Discord, Robinhood, Roblox, Pure Storage, …), 'Europe' for European-HQ companies (Adyen, Deliveroo, Revolut, Wise, Just Eat Takeaway, King, Skype, Farfetch, …), or one of the smaller regions. 'all' (default) returns the full cross-Atlantic portfolio. ## `sectorFilter` (type: `array`): Restrict to portfolio companies whose sector tag matches any of these strings (case-insensitive substring match against the listing's data-sectors plus the detail-page sector label). Index Ventures sectors: 'aiml' (AI/ML), 'business-applications', 'data', 'entertainment', 'fintech', 'future-of-work', 'healthcare', 'media', 'mobility', 'open-source', 'retail', 'security', 'talent'. Example: ['aiml', 'security'] returns AI/ML or cybersecurity companies. Empty = no sector filter. ## `stageFilter` (type: `array`): Restrict to portfolio companies by the stage Index Ventures first invested at. Index publishes this as either Seed (entered at the seed round via Index Origin / early-stage funds) or Growth/Select (entered later via Index Select, the growth fund). Accepts: 'Seed', 'Growth', 'Select', 'Seed + Growth'. Example: ['Seed'] = only Index-seeded companies; ['Growth'] = only Index Select investments. Empty = both. Index does NOT publish historical Series A/B/C labels. ## `statusFilter` (type: `array`): Restrict by current company status. Accepts 'Public' or 'IPO' (companies that have IPO'd — derived from a stock-ticker badge on Index's listing page, e.g. NASDAQ:DDOG for Datadog) or 'Active' / 'Private' (still-private portfolio companies). Index does NOT publicly mark acquired companies — exits are pruned from the live portfolio list rather than relabeled, so an Acquired filter is intentionally not offered. Empty = ALL statuses (default). ## `yearFromTo` (type: `object`): Inclusive bounds on the year Index Ventures first invested. NOTE: Index Ventures does NOT publish year-of-investment on its portfolio pages — this field is provided for API-compatibility with sister VC scrapers (Sequoia, a16z, Bessemer) but will return ZERO rows if any bound is set. Leave both bounds as null. ## `maxResults` (type: `integer`): Maximum number of portfolio companies to return (1–1000). Each company is one dataset row. The full Index Ventures portfolio currently lists ~386 companies. Default 100. ## Actor input object example ```json { "geographyFilter": "all", "sectorFilter": [], "stageFilter": [], "statusFilter": [], "yearFromTo": { "from": null, "to": null }, "maxResults": 100 } ```` # 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 = { "geographyFilter": "all", "sectorFilter": [], "stageFilter": [], "statusFilter": [], "yearFromTo": { "from": null, "to": null }, "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/index-ventures-portfolio-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 = { "geographyFilter": "all", "sectorFilter": [], "stageFilter": [], "statusFilter": [], "yearFromTo": { "from": None, "to": None, }, "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/index-ventures-portfolio-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 '{ "geographyFilter": "all", "sectorFilter": [], "stageFilter": [], "statusFilter": [], "yearFromTo": { "from": null, "to": null }, "maxResults": 100 }' | apify call nexgendata/index-ventures-portfolio-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/index-ventures-portfolio-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Index Ventures Portfolio Scraper", "description": "The only structured Index Ventures portfolio feed (~386 cross-Atlantic companies).", "version": "0.0", "x-build-id": "W5ZYOFHbgYYhrwFoT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~index-ventures-portfolio-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-index-ventures-portfolio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~index-ventures-portfolio-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-index-ventures-portfolio-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~index-ventures-portfolio-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-index-ventures-portfolio-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "geographyFilter": { "title": "Geography", "enum": [ "all", "US", "Europe", "Asia", "LatAm", "Africa", "Australasia" ], "type": "string", "description": "Which geography to restrict to. Index Ventures is a true dual-coast firm with offices in London, San Francisco and New York and portfolio companies across all continents. Choose 'US' for North America-headquartered companies (Datadog, Confluent, Discord, Robinhood, Roblox, Pure Storage, …), 'Europe' for European-HQ companies (Adyen, Deliveroo, Revolut, Wise, Just Eat Takeaway, King, Skype, Farfetch, …), or one of the smaller regions. 'all' (default) returns the full cross-Atlantic portfolio.", "default": "all" }, "sectorFilter": { "title": "Sector filter (optional)", "type": "array", "description": "Restrict to portfolio companies whose sector tag matches any of these strings (case-insensitive substring match against the listing's data-sectors plus the detail-page sector label). Index Ventures sectors: 'aiml' (AI/ML), 'business-applications', 'data', 'entertainment', 'fintech', 'future-of-work', 'healthcare', 'media', 'mobility', 'open-source', 'retail', 'security', 'talent'. Example: ['aiml', 'security'] returns AI/ML or cybersecurity companies. Empty = no sector filter.", "items": { "type": "string" } }, "stageFilter": { "title": "Stage Index invested at (optional)", "type": "array", "description": "Restrict to portfolio companies by the stage Index Ventures first invested at. Index publishes this as either Seed (entered at the seed round via Index Origin / early-stage funds) or Growth/Select (entered later via Index Select, the growth fund). Accepts: 'Seed', 'Growth', 'Select', 'Seed + Growth'. Example: ['Seed'] = only Index-seeded companies; ['Growth'] = only Index Select investments. Empty = both. Index does NOT publish historical Series A/B/C labels.", "items": { "type": "string" } }, "statusFilter": { "title": "Status filter (optional)", "type": "array", "description": "Restrict by current company status. Accepts 'Public' or 'IPO' (companies that have IPO'd — derived from a stock-ticker badge on Index's listing page, e.g. NASDAQ:DDOG for Datadog) or 'Active' / 'Private' (still-private portfolio companies). Index does NOT publicly mark acquired companies — exits are pruned from the live portfolio list rather than relabeled, so an Acquired filter is intentionally not offered. Empty = ALL statuses (default).", "items": { "type": "string" } }, "yearFromTo": { "title": "Year invested range (advisory only)", "type": "object", "description": "Inclusive bounds on the year Index Ventures first invested. NOTE: Index Ventures does NOT publish year-of-investment on its portfolio pages — this field is provided for API-compatibility with sister VC scrapers (Sequoia, a16z, Bessemer) but will return ZERO rows if any bound is set. Leave both bounds as null." }, "maxResults": { "title": "Max companies", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of portfolio companies to return (1–1000). Each company is one dataset row. The full Index Ventures portfolio currently lists ~386 companies. Default 100.", "default": 100 } } }, "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 } } } } } } } } } } ```