# Pitchbook Scraper | Fund Data (`parseforge/pitchbook-scraper-fund-data`) Actor

Updated Oct 2026. Advance your private equity and venture capital research with our comprehensive Pitch Book Funds Scraper! Access detailed fund data from 150,000+ funds across all regions. Perfect for investors, researchers, and analysts who need precise fund intelligence without the manual work.

- **URL**: https://apify.com/parseforge/pitchbook-scraper-fund-data.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Automation, Lead generation
- **Features:** Full permissions
- **Stats:** 168 total users, 4 monthly users, 100.0% runs succeeded, 21 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $34.00 / 1,000 records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)

## 💰 PitchBook Fund Data Scraper

> 🚀 **Export private equity and venture capital fund data from PitchBook in minutes.** Filter by region, fund type, size, vintage, performance metrics, and industry focus. Download as CSV, Excel, or JSON with 25+ fields per fund.

> 🕒 Last updated: 2026-07-14

The **PitchBook Fund Data Scraper** collects fund profiles from PitchBook's database, returning **25+ fields per fund**: fund name, manager, fund type, category, size, vintage year, region, status, performance metrics (IRR, DPI, TVPI), preferred investment types, industries, and geographies. Runs support up to 1,000,000 funds on a paid plan.

The Actor includes 20+ filters mirroring PitchBook's search: regions, fund types, categories, size groups, statuses, countries, vintages, preferred investment types, geographies, verticals, industries, fund locations, size ranges, and performance metric ranges (IRR, DPI, TVPI).

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Fund managers, LP researchers, investment bankers, PE/VC analysts, family offices, placement agents | Fund benchmarking, LP prospecting, competitive analysis, market sizing, vintage year research, fundraising intelligence |

***

### 📋 What the PitchBook Fund Data Scraper does

20+ search filters in a single run:

- 🌍 **Geographic filters.** 8 regions, specific countries, and fund locations.
- 💼 **Fund type filters.** PE, VC, growth equity, real estate, infrastructure, debt.
- 📂 **Category filters.** Buyout, early stage, late stage, seed.
- 💰 **Size filters.** Min/max fund size in millions USD.
- 📅 **Vintage filter.** Fund vintage years.
- 📊 **Performance filters.** IRR, DPI, and TVPI min/max ranges.
- 🏭 **Industry filters.** Preferred verticals, industries, and investment types.
- ✅ **Status filter.** Open, closed, liquidated.
- 🔍 **Text search.** Search across fund and manager names.
- 📋 **Required fields filter.** Only return funds with valid values in selected fields.

Each fund record includes fund name, manager, type, category, size, vintage, status, region, country, location, IRR, DPI, TVPI, preferred investment types, geographies, verticals, industries, and PitchBook URL.

> 💡 **Why it matters:** manually researching PE and VC funds on PitchBook means clicking through profiles one by one. This Actor exports structured fund data at scale, ready for your LP prospecting, competitive benchmarking, or fundraising intelligence workflows.

***

### 🎬 Full Demo

*🚧 Coming soon: a 3-minute walkthrough showing how to export PitchBook fund data.*

***

### ⚙️ Input

<table>
<thead>
<tr><th>Input</th><th>Type</th><th>Default</th><th>Behavior</th></tr>
</thead>
<tbody>
<tr><td>regions</td><td>array</td><td>[]</td><td>Filter by region: Americas, Europe, Asia, etc.</td></tr>
<tr><td>fundTypes</td><td>array</td><td>[]</td><td>PE, VC, Growth Equity, Real Estate, etc.</td></tr>
<tr><td>fundCategories</td><td>array</td><td>[]</td><td>Buyout, Early Stage, Late Stage, Seed.</td></tr>
<tr><td>fundSizeGroups</td><td>array</td><td>[]</td><td>Micro, small, mid, large, mega.</td></tr>
<tr><td>fundStatuses</td><td>array</td><td>[]</td><td>Open, Closed, Liquidated.</td></tr>
<tr><td>countries</td><td>array</td><td>[]</td><td>Specific countries.</td></tr>
<tr><td>vintages</td><td>array</td><td>[]</td><td>Fund vintage years.</td></tr>
<tr><td>minFundSize / maxFundSize</td><td>integer</td><td>-</td><td>Fund size range in millions USD.</td></tr>
<tr><td>minIRR / maxIRR</td><td>integer</td><td>-</td><td>IRR range in percentage.</td></tr>
<tr><td>minDPI / maxDPI</td><td>integer</td><td>-</td><td>DPI ratio range.</td></tr>
<tr><td>minTVPI / maxTVPI</td><td>integer</td><td>-</td><td>TVPI ratio range.</td></tr>
<tr><td>preferredInvestmentTypes</td><td>array</td><td>[]</td><td>Buyout, Growth, Venture, etc.</td></tr>
<tr><td>preferredIndustry</td><td>array</td><td>[]</td><td>Technology, Healthcare, Energy, etc.</td></tr>
<tr><td>searchText</td><td>string</td><td>""</td><td>Search across fund and manager names.</td></tr>
<tr><td>maxItems</td><td>integer</td><td>10</td><td>Max funds. Free: max 50. Paid: max 1,000,000.</td></tr>
</tbody>
</table>

**Example: US venture capital funds with IRR above 20%.**

```json
{
    "regions": ["United States"],
    "fundTypes": ["Venture Capital"],
    "minIRR": 20,
    "maxItems": 100
}
```

**Example: European buyout funds above $500M.**

```json
{
    "regions": ["Europe"],
    "fundCategories": ["Buyout"],
    "minFundSize": 500,
    "maxItems": 200
}
```

> ⚠️ **Good to Know:** performance metrics (IRR, DPI, TVPI) are only available for funds that report them to PitchBook. Use the `requiredFields` filter to ensure every row has the metrics you need.

***

### 📊 Output

Each fund record contains **25+ fields**. Download the dataset as CSV, Excel, JSON, or XML.

#### 🧾 Schema

| Field | Type | Example |
|---|---|---|
| 🏢 `fundName` | string | `"Sequoia Capital Fund XV"` |
| 👤 `managerName` | string | `"Sequoia Capital"` |
| 💼 `fundType` | string | `"Venture Capital"` |
| 📂 `fundCategory` | string | `"Early Stage"` |
| 💰 `fundSize` | string | `"$2,000M"` |
| 📅 `vintage` | string | `"2020"` |
| ✅ `status` | string | `"Closed"` |
| 🌍 `region` | string | `"Americas"` |
| 🏳️ `country` | string | `"United States"` |
| 📍 `fundLocation` | string | `"Menlo Park, CA"` |
| 📊 `irr` | string | `"28.5%"` |
| 📊 `dpi` | string | `"1.8x"` |
| 📊 `tvpi` | string | `"2.4x"` |
| 🎯 `preferredInvestmentTypes` | string | `"Early Stage Venture"` |
| 🏭 `preferredIndustries` | string | `"Technology, Healthcare"` |
| 🌍 `preferredGeographies` | string | `"North America, Asia"` |
| 🏷️ `preferredVerticals` | string | `"SaaS, Fintech, AI"` |
| 🔗 `pitchbookUrl` | string | `"https://pitchbook.com/profiles/..."` |
| 🕒 `scrapedAt` | ISO 8601 | `"2026-04-16T00:00:00.000Z"` |

#### 📦 Sample records

<details>
<summary><strong>💰 Large VC fund with performance data</strong></summary>

```json
{
    "fundName": "Sequoia Capital Fund XV",
    "managerName": "Sequoia Capital",
    "fundType": "Venture Capital",
    "fundCategory": "Early Stage",
    "fundSize": "$2,000M",
    "vintage": "2020",
    "status": "Closed",
    "region": "Americas",
    "country": "United States",
    "fundLocation": "Menlo Park, CA",
    "irr": "28.5%",
    "dpi": "1.8x",
    "tvpi": "2.4x",
    "preferredInvestmentTypes": "Early Stage Venture",
    "preferredIndustries": "Technology, Healthcare",
    "preferredGeographies": "North America, Asia",
    "preferredVerticals": "SaaS, Fintech, AI",
    "pitchbookUrl": "https://pitchbook.com/profiles/sequoia-capital-fund-xv",
    "scrapedAt": "2026-04-16T00:00:00.000Z"
}
```

</details>

<details>
<summary><strong>🏢 European buyout fund</strong></summary>

```json
{
    "fundName": "Nordic Capital Fund XI",
    "managerName": "Nordic Capital",
    "fundType": "Private Equity",
    "fundCategory": "Buyout",
    "fundSize": "$6,100M",
    "vintage": "2021",
    "status": "Closed",
    "region": "Europe",
    "country": "Sweden",
    "fundLocation": "Stockholm",
    "irr": "15.2%",
    "dpi": "0.6x",
    "tvpi": "1.5x",
    "preferredInvestmentTypes": "Buyout",
    "preferredIndustries": "Healthcare, Technology, Financial Services",
    "preferredGeographies": "Europe",
    "preferredVerticals": "Enterprise Software, Medtech",
    "pitchbookUrl": "https://pitchbook.com/profiles/nordic-capital-fund-xi",
    "scrapedAt": "2026-04-16T00:00:00.000Z"
}
```

</details>

<details>
<summary><strong>📋 Small seed fund with sparse data</strong></summary>

```json
{
    "fundName": "Seed Ventures Fund I",
    "managerName": "Seed Ventures",
    "fundType": "Venture Capital",
    "fundCategory": "Seed",
    "fundSize": "$25M",
    "vintage": "2023",
    "status": "Open",
    "region": "Americas",
    "country": "United States",
    "fundLocation": "Austin, TX",
    "irr": null,
    "dpi": null,
    "tvpi": null,
    "preferredInvestmentTypes": "Seed",
    "preferredIndustries": "Technology",
    "preferredGeographies": "North America",
    "preferredVerticals": null,
    "pitchbookUrl": "https://pitchbook.com/profiles/seed-ventures-fund-i",
    "scrapedAt": "2026-04-16T00:00:00.000Z"
}
```

</details>

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 💰 | **150,000+ funds.** Full PitchBook fund database across PE, VC, and alternatives. |
| 🔍 | **20+ filters.** Region, type, category, size, vintage, IRR, DPI, TVPI, industry. |
| 📊 | **Performance metrics.** IRR, DPI, and TVPI when reported. |
| 💼 | **Fund details.** Size, vintage, status, manager, and location. |
| 🏭 | **Investment preferences.** Types, industries, verticals, geographies per fund. |
| 📋 | **Required fields filter.** Ensure every row has the data you need. |
| ⚡ | **Scalable.** From 50-fund spot checks to full market sweeps. |

> 📊 PitchBook tracks 150,000+ fund profiles globally. Structured access to fund data powers every LP prospecting, competitive benchmarking, and fundraising intelligence workflow.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ PitchBook Fund Scraper** *(this Actor)* | $5 free credit, then pay-per-use | 150,000+ funds | **Live per run** | 20+ (region, type, size, IRR, etc.) | ⚡ 2 min |
| PitchBook Enterprise license | $20,000+/year | Full platform | Real-time | Full UI | 🐢 Weeks |
| Manual PitchBook browsing | Requires license | One at a time | Manual | UI only | 🕒 Hours |
| Third-party fund databases | $500-5,000/month | Varies | Varies | Varies | ⏳ Days |

Pick this Actor when you need PitchBook fund data without the enterprise price tag, with 20+ filters and performance metrics.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the PitchBook Fund Data Scraper page on the Apify Store.
3. 🎯 **Set input.** Select regions, fund types, size ranges, and performance filters.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 💰 LP Prospecting & Fundraising

- Build targeted LP outreach lists
- Filter for actively deploying funds
- Benchmark fund sizes against your raise
- Track competitor fundraising activity

</td>
<td width="50%" valign="top">

#### 📊 Fund Benchmarking & Research

- Compare IRR/DPI/TVPI across vintages
- Analyze performance by category and size
- Track industry allocation trends
- Build competitive landscape reports

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🏦 Investment Banking & M\&A

- Identify fund buyers by industry preference
- Track dry powder by region and category
- Build comp sets for fundraising pitches
- Analyze fund lifecycle and deployment

</td>
<td width="50%" valign="top">

#### 📈 Market Intelligence

- Size PE/VC markets by region and strategy
- Track new fund launches by vintage
- Study geographic fund concentration
- Monitor alternative asset class trends

</td>
</tr>
</table>

***

### 🔌 Automating PitchBook Fund Data Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

- 🟢 **Node.js.** Install the `apify-client` NPM package.
- 🐍 **Python.** Use the `apify-client` PyPI package.
- 📚 See the [Apify API documentation](https://docs.apify.com/api/v2) for full details.

The [Apify Schedules feature](https://docs.apify.com/platform/schedules) lets you trigger this Actor on any cron interval. Monthly pulls keep your fund intelligence database current.

***

### ❓ Frequently Asked Questions

<details>
<summary><strong>🧩 How does it work?</strong></summary>

Configure filters (region, fund type, size, performance metrics), click Start, and the Actor queries PitchBook's fund database, returning one structured record per fund.

</details>

<details>
<summary><strong>📏 How accurate is the data?</strong></summary>

Data comes from PitchBook's fund profiles. Sizes, metrics, and status reflect what PitchBook has on file at the time of the run.

</details>

<details>
<summary><strong>📊 Are IRR/DPI/TVPI always available?</strong></summary>

No. Metrics depend on fund reporting. Use `requiredFields` to ensure every row has the data you need.

</details>

<details>
<summary><strong>💰 Can I filter by fund size?</strong></summary>

Yes. Set `minFundSize` and/or `maxFundSize` in millions USD.

</details>

<details>
<summary><strong>📅 Can I filter by vintage year?</strong></summary>

Yes. Use the `vintages` array for specific years.

</details>

<details>
<summary><strong>⏰ Can I schedule regular runs?</strong></summary>

Yes. Use Apify Schedules monthly to keep your database current.

</details>

<details>
<summary><strong>⚖️ Is this data legal to use?</strong></summary>

This Actor collects fund data from PitchBook. Review their terms for your use case.

</details>

<details>
<summary><strong>💼 Can I use this data commercially?</strong></summary>

Yes, for analytics, research, and internal dashboards. For redistribution, review PitchBook's terms.

</details>

<details>
<summary><strong>💳 Do I need a paid Apify plan?</strong></summary>

No. Free plan enough for testing (up to 50 funds). Paid lifts the limit.

</details>

<details>
<summary><strong>🔁 What happens if a run fails?</strong></summary>

Apify retries transient errors. Partial datasets preserved.

</details>

<details>
<summary><strong>🆘 What if I need help?</strong></summary>

Contact us through the Apify platform or use the Tally form linked below.

</details>

***

### 🔌 Integrate with any app

PitchBook Fund Data Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe fund data into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

***

### 🔗 Recommended Actors

- [**💼 PitchBook Investors Scraper**](https://apify.com/parseforge/pitchbook-investors-scraper) - Investor profiles with AUM and contacts
- [**🏢 PitchBook Companies Scraper**](https://apify.com/parseforge/pitchbook-companies-scraper) - Company profiles with funding rounds
- [**🏦 FDIC Bank Scraper**](https://apify.com/parseforge/fdic-bank-scraper) - Bank financial data
- [**📋 FINRA BrokerCheck Scraper**](https://apify.com/parseforge/finra-brokercheck-scraper) - Broker regulatory data
- [**📊 USAspending Scraper**](https://apify.com/parseforge/usaspending-scraper) - Federal spending data

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more financial and business data scrapers.

***

**🆘 Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue.

***

> **⚠️ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by PitchBook Data, Inc. All trademarks mentioned are the property of their respective owners.

# Actor input Schema

## `regions` (type: `array`):

Filter by fund regions/countries. Select multiple regions to include funds from any of these locations.

## `fundTypes` (type: `array`):

Filter by fund types. Leave empty to include all types.

## `fundCategories` (type: `array`):

Filter by fund categories. Leave empty to include all categories.

## `fundSizeGroups` (type: `array`):

Filter by fund size groups. Leave empty to include all size groups.

## `fundStatuses` (type: `array`):

Filter by fund status. Leave empty to include all statuses.

## `countries` (type: `array`):

Filter by specific countries. Leave empty to include all countries.

## `vintages` (type: `array`):

Filter by fund vintages. Leave empty to include all vintages.

## `preferredInvestmentTypes` (type: `array`):

Filter by preferred investment types. Leave empty to include all types.

## `preferredGeography` (type: `array`):

Filter by preferred geography. Leave empty to include all geographies.

## `preferredVerticals` (type: `array`):

Filter by preferred verticals. Leave empty to include all verticals.

## `preferredIndustry` (type: `array`):

Filter by preferred industry. Leave empty to include all industries.

## `fundLocations` (type: `array`):

Filter by fund locations. Leave empty to include all locations.

## `minFundSize` (type: `integer`):

Minimum fund size in millions USD. Range: 1.00 - 1000000.00. Leave empty for no minimum.

## `maxFundSize` (type: `integer`):

Maximum fund size in millions USD. Range: 1.00 - 1000000.00. Leave empty for no maximum.

## `minIRR` (type: `integer`):

Minimum Internal Rate of Return in percentage. Range: 0.00% - 1000.00%. Leave empty for no minimum.

## `maxIRR` (type: `integer`):

Maximum Internal Rate of Return in percentage. Range: 0.00% - 1000.00%. Leave empty for no maximum.

## `minDPI` (type: `integer`):

Minimum Distributions to Paid-In ratio. Range: 0.00x - 1000.00x. Leave empty for no minimum.

## `maxDPI` (type: `integer`):

Maximum Distributions to Paid-In ratio. Range: 0.00x - 1000.00x. Leave empty for no maximum.

## `minTVPI` (type: `integer`):

Minimum Total Value to Paid-In ratio. Range: 0.00x - 1000.00x. Leave empty for no minimum.

## `maxTVPI` (type: `integer`):

Maximum Total Value to Paid-In ratio. Range: 0.00x - 1000.00x. Leave empty for no maximum.

## `searchText` (type: `string`):

Search for specific text in company names, investor names, fund partners, fund types, preferred investment types, geography, verticals, industry, or fund location. Leave empty to skip text search.

## `maxItems` (type: `integer`):

Maximum number of items to process and return. Free users: Required, maximum 50. Paid users: Optional, maximum 1,000,000. Leave empty for unlimited (paid users only).

## `requiredFields` (type: `array`):

Filter results to only include funds that have valid values (not empty, not N/A) in ALL selected fields. For example, select 'Investor Website' and 'IRR' to only get funds with both website and IRR data. Leave empty to include all funds regardless of missing fields.

## `previousRunsIds` (type: `array`):

Optional: Provide run IDs from previous executions to exclude duplicate funds that were already processed. This helps avoid duplicate results when running multiple searches. Enter one or more run IDs (e.g., XN1Z9MrWNUTqZWkrL, DTwwgQInKTcilbjKI). Leave empty to include all matching funds.

## `strictDeduplication` (type: `boolean`):

When enabled, the scraper will stop with an error if any Previous Run ID has a missing or deleted dataset, preventing duplicate results from being returned. When disabled, unavailable datasets are skipped with a warning. Only applies when 'Previous Runs IDs' is not empty.

## `previousLeadsFiles` (type: `array`):

⚠️ Files MUST contain the columns 'Company Name' and 'Company URL' (exact names). Upload one or more CSV or JSON files exported from previous runs to deduplicate against them — useful when previous run datasets have been purged by Apify's retention policy. If any file is missing the required columns or cannot be fetched, the run will stop immediately with an error. Works independently from and in combination with 'Previous Runs IDs'.

## Actor input object example

```json
{
  "maxItems": 10,
  "strictDeduplication": true,
  "previousLeadsFiles": []
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10,
    "strictDeduplication": true,
    "previousLeadsFiles": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/pitchbook-scraper-fund-data").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxItems": 10,
    "strictDeduplication": True,
    "previousLeadsFiles": [],
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/pitchbook-scraper-fund-data").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10,
  "strictDeduplication": true,
  "previousLeadsFiles": []
}' |
apify call parseforge/pitchbook-scraper-fund-data --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/pitchbook-scraper-fund-data"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/eIJC291ROItSIkFlp/builds/wfkeSbpnfPJQFkJ1v/openapi.json