Harvard University Scraper | Fast & Reliable

Slug: fatihtahta/harvard-university-scraper

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1. Overview

The Harvard University Scraper automatically collects faculty profile URLs from official Harvard University school directories. Instead of manually browsing and copying links for each faculty member, this actor builds a clean, structured list of profile pages that you can plug into your own pipelines, enrichment tools, or follow-up scrapers.

It supports multiple Harvard schools, including: • Harvard Graduate School of Education (HGSE) • Harvard Kennedy School (HKS) • Harvard Law School (HLS) • Harvard Divinity School (HDS) • Harvard School of Dental Medicine (HSDM) • Harvard Business School (HBS) • Harvard T.H. Chan School of Public Health (HSPH) • Harvard Medical School (HMS)

Harvard’s faculty directories are a valuable source of high-quality academic and professional profiles. This actor turns those directories into a structured dataset of profile URLs so you can focus on analysis, enrichment, and product-building, not on manual collection.

The actor is designed to be: • Automated – set your target school and limits, then let it run. • Reliable – focuses on official faculty directories and profile pages. • Time-saving – replaces hours of clicking and copying with a single run and export.

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2. Why Use This Actor

This actor is useful for anyone who needs structured access to Harvard faculty profiles at scale, including: • Market researchers & analysts – build datasets of academic experts, thought leaders, and institutional contacts. • Developers & data teams – feed standardized profile URLs into downstream scrapers, enrichment APIs, or internal tools. • Product builders – power search, discovery, or matching features that rely on academic or professional profiles. • Business development & partnerships – identify relevant faculty in specific schools for outreach and collaboration. • Recruiting & talent mapping – map experts across schools and disciplines as part of broader talent intelligence workflows.

Typical use cases include: • Lead and expert generation – assemble lists of faculty members to contact for research, advisory roles, or partnerships. • Market & ecosystem mapping – understand who is active in specific fields, departments, or schools. • Directory building – create internal or external directories seeded by official Harvard faculty profile URLs. • Data pipelines – treat this actor as the first stage in a multi-step pipeline: profile URL collection → detail scraping → enrichment → analysis.

The actor keeps things simple and focused: it delivers clean profile URLs, and you decide what to do next.

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3. Input Parameters

Below is a description of the input fields you can configure when running the actor.

The table is based on the actor’s input schema.

Parameter Type Description Default school string Select the Harvard school whose faculty directory you want to scrape. Options: HGSE, HKS, HLS, HDS, HSDM, HBS, HSPH, HMS. – (required) maxItems integer Maximum number of unique faculty profile URLs to save. Set to 0 to remove the limit and collect all available profiles for the selected school. 0

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4. Example Input

Here is a simple example of how you might configure the actor to collect up to 100 faculty profile URLs from Harvard Law School:

{ "school": "HLS", "maxItems": 100 }

You can increase or decrease maxItems depending on how many profile URLs you need in a single run.

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5. Example Output

Each dataset item represents one faculty profile URL from the selected Harvard school’s official directory.

Example record:

{ "url": "https://hls.harvard.edu/faculty/jane-doe/" }

Field explanation: • url – The direct URL to an individual faculty member’s profile page on the official Harvard school website.

You can export the dataset in formats like JSON, CSV, or Excel from Apify and then: • Feed these URLs into another scraper that extracts profile details (name, title, research area, etc.). • Enrich them with third-party data sources. • Store them for internal search, matching, or analytics.

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6. Notes & Limitations • Respect terms of service: Always review and comply with Harvard’s website terms of use and any applicable policies before running large-scale scraping. • Use data responsibly: If you process personal data (such as names or professional information), make sure your usage complies with relevant regulations (e.g., GDPR, CCPA) and aligns with your organization’s compliance standards. • Site changes: If the structure or layout of the faculty directories changes, the actor’s behavior or coverage may be affected and may require adjustments. • No affiliation: This actor is not affiliated with or endorsed by Harvard University. It simply automates access to publicly available directory pages.

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7. Support

Questions or custom needs? Open an issue on the Issues tab of the actor page in Apify Console and it will be resolved around the clock.

Happy Scraping,

• Fatih