# Expert Finder Experts Scraper (`easyapi/expert-finder-experts-scraper`) Actor

Search experts by keyword and extract full profile details including expertise, bio, contact info, and links. 🔎

- **URL**: https://apify.com/easyapi/expert-finder-experts-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Lead generation, Developer tools, Open source
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Expert Finder Experts Scraper

Search experts by keyword and extract full profile details from individual profile pages. Automatically paginates through search results and collects detailed information for each expert.

### Key Features

- Search experts by keyword
- Open each profile page and extract full details
- Automatic pagination through all search result pages
- Optional result limit and proxy configuration

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| keyword | string | Yes | Keyword to search, e.g. `financial` |
| maxItems | integer | No | Maximum profiles to scrape (default: 100) |
| proxyConfiguration | object | No | Proxy settings |

#### Input Example

```json
{
    "keyword": "financial",
    "maxItems": 100
}
```

### Output

Each expert profile is saved as one dataset record:

```json
{
    "searchKeyword": "financial",
    "profileUrl": "https://network.expertisefinder.com/experts/kay-giesecke",
    "name": "Kay Giesecke",
    "university": "Stanford University",
    "position": "Associate Professor",
    "location": "Stanford, California",
    "email": "giesecke@stanford.edu",
    "phone": null,
    "expertIn": [
        "Financial risk management",
        "Financial risk quantification"
    ],
    "bio": "Kay's research addresses the quantification and management of financial risks...",
    "links": [
        {
            "title": "Faculty Page",
            "url": "https://profiles.stanford.edu/kay-giesecke"
        }
    ],
    "scrapedAt": "2026-07-03T12:00:00.000Z"
}
```

### Use Cases

- Journalist and media expert sourcing
- Academic and industry expert discovery
- Research outreach and interview preparation
- Competitive intelligence and subject matter research

# Actor input Schema

## `keyword` (type: `string`):

Keyword to search experts by name or expertise

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

Maximum number of expert profiles to scrape

## `proxyConfiguration` (type: `object`):

Proxy settings for HTTP requests

## Actor input object example

```json
{
  "keyword": "financial",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "keyword": "financial",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/expert-finder-experts-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keyword": "financial",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/expert-finder-experts-scraper").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 '{
  "keyword": "financial",
  "maxItems": 100
}' |
apify call easyapi/expert-finder-experts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/expert-finder-experts-scraper"
        }
    }
}

```

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/SmZtqpk8oGMfQ3r1F/builds/24U42JDHBEi7S4dDY/openapi.json