# Stanford University Scraper (`fatihtahta/stanford-university-scraper`) Actor

Scrapes Stanford Profiles directory listings with pagination to gather profile URLs, then extracts detailed data; name, email, departments, affiliations, education, honors, bio, and more. Ideal for academic research, lead generation, or structured datasets.

- **URL**: https://apify.com/fatihtahta/stanford-university-scraper.md
- **Developed by:** [Fatih Tahta](https://apify.com/fatihtahta) (community)
- **Categories:** Automation, Lead generation, Developer tools
- **Stats:** 16 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.99 / 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?

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

Stanford Profiles Full Scraper

Combine directory crawling and profile-detail extraction in one go—no more juggling two actors.

🚀 What it does
•	List phase: starts at your School of H\&S directory page, follows real “next” links (or ?p=), and collects only valid profile URLs.
•	Detail phase: fetches each profile and pulls out name, email, departments, affiliations, education histories, honors, bio, and more.
•	Smart stops: if a page yields no new links, the crawl halts—no phantom pages, no wasted cycles.

🛠️ Key features
•	All-in-one workflow: one actor, one dataset, zero hassle.
•	Pagination guardrails: leverages <link rel="next"> and “no-new-links” breaks to avoid endless loops.
•	Configurable concurrency: scrape dozens of profiles in parallel without overwhelming the server.
•	Flexible inputs: start from a URL, inject extra URLs by textarea or dataset ID, and cap list pages if you want.

📥 Inputs

Field
Type
Default
Notes
startUrl
String
https://profiles.stanford.edu/browse/school-of-humanities-and-sciences?affiliations=capFaculty
Directory page to kick off the crawl
maxPages
Integer
0
Max list pages (0 = unlimited)
urlsText
String
""
Extra profile URLs (newline/comma separated)
sourceDatasetId
String
""
Dataset ID whose items contain a url field
maxConcurrency
Integer
5
Worker threads for detail scraping

📤 Output

A single dataset of JSON records, e.g.:

{
"url": "https://profiles.stanford.edu/jane-doe",
"name": "Jane Doe",
"email": "jane.doe@stanford.edu",
"departments": \["History"],
"faculty": \["School of Humanities and Sciences"],
"personalWebsite": "https://janedoe.com",
"bio": "Professor of History…",
"academicAppointments": \[ "Associate Professor (2020–)" ],
"professionalEducation": \[ "PhD, Stanford University (2015)" ],
"honorsAwards": \[ "Guggenheim Fellowship (2023)" ]
}

💡 Use cases
•	Academic research: map faculty expertise, collaborations, or department distributions.
•	Lead generation: gather contact info for outreach to professors or postdocs.
•	Data integration: power your internal CRM, directory, or AI pipeline with fresh Stanford data.

⸻

Got feedback or hitting a wall? Drop a note on the actor’s issue tracker—and happy scraping!

# Actor input Schema

## `startUrl` (type: `string`):

Paste a Stanford directory page (e.g., H\&S browse page). The actor will follow Next and collect all profile links.

## `maxProfiles` (type: `integer`):

Hard cap on the number of profile detail pages to process. Use this for quick samples.

## Actor input object example

```json
{
  "startUrl": "https://profiles.stanford.edu/browse/graduate-school-of-business?p=2&affiliations=capPostdoc",
  "maxProfiles": 10000
}
```

# 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 = {
    "startUrl": "https://profiles.stanford.edu/browse/graduate-school-of-business?p=2&affiliations=capPostdoc"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fatihtahta/stanford-university-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 = { "startUrl": "https://profiles.stanford.edu/browse/graduate-school-of-business?p=2&affiliations=capPostdoc" }

# Run the Actor and wait for it to finish
run = client.actor("fatihtahta/stanford-university-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 '{
  "startUrl": "https://profiles.stanford.edu/browse/graduate-school-of-business?p=2&affiliations=capPostdoc"
}' |
apify call fatihtahta/stanford-university-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fatihtahta/stanford-university-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/NI5eLATtrURPR0lb8/builds/q7OKvGrHKLSLaWPzy/openapi.json