🐝 Beehiiv Newsletter Scraper

🚀 Pull every public post from one or many Beehiiv newsletters. Multi-source fanout reaches 100+ posts. No login, no API key, no manual scrolling.

The Beehiiv Newsletter Scraper discovers post URLs via each newsletter's public sitemap and returns title, description, image, publish date, author, word count, excerpt, slug, canonical URL, and scrape timestamp per post. Provide one or many newsletters and the scraper fans across all of them, parallelizing fetches to reach 100+ posts in under two minutes.

Beehiiv powers more than 50,000 newsletters from creators, media brands, and SaaS companies. The platform's growth has put it second only to Substack in the creator-economy newsletter space. This Actor exposes the full post history of any Beehiiv-hosted newsletter as clean structured data for content research, cadence analysis, and competitive benchmarking.

🎯 Target Audience	💡 Primary Use Cases
Newsletter operators, content strategists, marketers, founders, content writers	Newsletter research, content gap analysis, competitive benchmarking, audience discovery

📋 What the Beehiiv Newsletter Scraper does

Four filtering workflows in a single run:

• 🐝 Multi-newsletter fanout. Submit an array of newsletter URLs and the Actor walks each sitemap.
• 📑 Sitemap discovery. Each newsletter's /sitemap.xml lists all public posts; the Actor filters to real post URLs.
• 🔍 Keyword filter. Substring match on post URL to narrow by topic across all newsletters.
• ⚡ Parallel fetch. Up to 8 concurrent post fetches with retry logic to keep total run time low.

Each row reports the post URL, slug, title from og:title, description from og:description, image from og:image, publish date from article:published_time, author from article:author, word count, 600-character excerpt, canonical URL, and scrape timestamp.

💡 Why it matters: Beehiiv newsletters are a fast-growing slice of independent media. Top writers cross 100k subscribers and influence narratives in finance, tech, and AI. The platform exposes a clean public sitemap on every newsletter, which makes structured discovery practical without browser automation.

📊 Data fields

Each record includes: author, canonical, description, excerpt, image, publishedAt, scrapedAt, slug, title, url, wordCount. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 🆓 Create a free Apify account. Sign up here and get $5 in free credit.
2. 🔍 Open the Actor. Search for "Beehiiv Newsletter" in the Apify Store.
3. ⚙️ Add newsletter URLs. One or many Beehiiv newsletter homepages.
4. ▶️ Click Start. A 100-post run typically completes in 60 to 90 seconds.
5. 📥 Download. Export as CSV, Excel, JSON, or XML.

⏱️ Total time from sign-up to first dataset: under five minutes.

🔗 Recommended Actors

• 📰 Substack Publication Scraper - the same workflow for Substack-hosted newsletters.
• 💼 Indie Hackers Posts Scraper - mine founder commentary that often parallels newsletter content.
• 📚 Wikipedia Pageviews Scraper - cross-reference newsletter trends with public-interest spikes.
• 🅱️ Bing Search Scraper - track which posts rank for which keywords.
• 🐙 GitHub Trending Repos Scraper - capture the developer-attention layer next to newsletter coverage.

💡 Pro Tip: browse the complete ParseForge collection for more pre-built scrapers and data tools.

Beehiiv is a registered trademark of Beehiiv, Inc. This Actor is not affiliated with or endorsed by Beehiiv. It reads only the public sitemap and OG meta tags every Beehiiv newsletter exposes for search engines.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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