Stanford University Scraper
by fatihtahta
Automatically extract detailed faculty and staff data from Stanford Profiles. Get structured datasets with names, emails, affiliations, and bios for research or lead generation.
Opens on Apify.com
About Stanford University Scraper
Need to build a list of Stanford academics for a research project or find potential collaborators? This scraper does the heavy lifting. It first crawls the Stanford Profiles directory, handling pagination automatically to collect every profile link. Then, it visits each page to pull out the structured details you actually need: full name, email address, departmental affiliations, education history, awards, biography text, and more. What you get is a clean, ready-to-use dataset instead of a pile of unstructured web pages. I've used it to gather data for academic networking and market analysis projects where targeting specific university departments was key. It saves you the days of manual copying and pasting, or the hassle of writing your own script to navigate the site's structure. Just configure it with your target search parameters on the directory, run it, and download the results as JSON, CSV, or other standard formats. Perfect for researchers compiling study cohorts, recruiters sourcing specialized talent, or developers creating enriched databases related to higher education.
What does this actor do?
Stanford University Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Stanford University Scraper
An Apify actor that crawls Stanford Profiles directory pages and extracts detailed faculty information in a single, automated workflow. It combines listing and detail scraping to output a unified dataset, eliminating the need to run separate actors.
Overview
The actor performs a two-phase scrape:
1. List Phase: Starts from a Stanford directory page (default is School of Humanities & Sciences), follows pagination links, and collects all valid profile URLs.
2. Detail Phase: Fetches each profile page to extract structured data including contact info, academic roles, and professional history.
It includes smart logic to stop crawling when no new links are found, preventing infinite loops and wasted resources.
Key Features
- Unified Workflow: Handles both discovery and data extraction in one actor, producing a single, clean dataset.
- Robust Pagination: Uses
<link rel="next">tags and URL patterns (?p=) for reliable navigation, with automatic halt on duplicate pages. - Parallel Execution: Configurable concurrency for detail scraping to speed up data collection.
- Flexible Input Sources: Start from a directory URL, add specific profile URLs via text, or pull URLs from an existing Apify dataset.
How to Use
Configure the actor using the input fields below and run it. It will crawl the directory and profile pages, outputting all results into one dataset.
Input
| Field | Type | Default | Description |
|---|---|---|---|
startUrl |
String | https://profiles.stanford.edu/browse/school-of-humanities-and-sciences?affiliations=capFaculty |
The directory listing page to begin the crawl. |
maxPages |
Integer | 0 |
Maximum number of listing pages to crawl (0 = unlimited). |
urlsText |
String | "" |
Extra profile URLs to scrape, separated by newlines or commas. |
sourceDatasetId |
String | "" |
An Apify dataset ID whose items contain a url field; these URLs will be added to the scrape queue. |
maxConcurrency |
Integer | 5 |
Number of profiles to scrape simultaneously. |
Output
The actor outputs a dataset of JSON objects, one per profile. Each item includes:
{
"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, faculty lead generation, or populating internal databases/CRMs with structured Stanford data.
For issues or feedback, please use the actor's issue tracker.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Stanford University Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- fatihtahta
- Pricing
- Paid
- Total Runs
- 203
- Active Users
- 15
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