Beehiiv Newsletter Scraper - Posts & Authors

Scrape public Beehiiv newsletters by publication URL, custom domain, sitemap, or direct post URL. This Actor extracts structured Beehiiv post data including titles, descriptions, publish dates, authors, publication metadata, full article text, HTML, markdown-like text, images, outbound links, sponsor-looking links, word count, and reading time.

Use it to monitor newsletters, research newsletter sponsorships, build content datasets, track competitor publishing, analyze Beehiiv creators, collect newsletter archives, and export Beehiiv post data to CSV, JSON, Excel, Google Sheets, Make, Zapier, or your own API workflow.

What can this Beehiiv scraper do?

• Scrape any public Beehiiv publication URL or custom domain
• Discover posts from Beehiiv publication sitemaps
• Scrape direct Beehiiv post URLs
• Extract full post content as HTML, clean text, and markdown-like text
• Extract author name, author URL, bio, image, and social links when available
• Extract publication name, URL, ID, logo, image, and social links when available
• Extract primary image and body images
• Extract outbound links from the article body
• Flag sponsor, affiliate, referral, and campaign-looking URLs
• Filter saved posts by keyword
• Filter saved posts by published date
• Deduplicate posts across publications, sitemaps, and direct URLs
• Export structured post data to Apify datasets
• Run on schedules for newsletter monitoring
• Use Apify residential proxies on every run for production reliability

What data can you extract from Beehiiv?

Field	Description
publicationName	Beehiiv publication name
publicationUrl	Publication URL from structured metadata
publicationId	Beehiiv publication identifier when available
publicationLogoUrl	Publication logo URL
publicationSocialUrls	Publication social profile URLs
postId	Beehiiv post identifier when available
postUrl	URL fetched by the Actor
canonicalUrl	Canonical Beehiiv post URL
slug	Post slug
title	Post title
description	Post description or excerpt
authorName	Author name
authorUrl	Author URL
authorDescription	Author bio or description
authorImageUrl	Author image URL
datePublished	Published timestamp
dateModified	Last modified timestamp
isAccessibleForFree	Public/free flag from structured metadata
imageUrl	Primary post image
tags	Tags detected from Beehiiv tag links
html	Full article body HTML
text	Clean article body text
markdown	Markdown-like article text for AI and analysis workflows
imageUrls	Primary and embedded image URLs
outboundUrls	Links found in the article body
sponsorUrls	Sponsor, affiliate, referral, or campaign-looking links
wordCount	Article word count
readingTimeMinutes	Estimated reading time
matchedKeywords	Keywords that matched the saved post
contentFetched	Whether the Actor found and extracted a full article body
scrapedAt	Timestamp when the row was saved

How to scrape Beehiiv newsletters

1. Add one or more Beehiiv publication URLs, archive URLs, custom domains, sitemap URLs, or direct post URLs.
2. Set maxPosts to control how many posts to save.
3. Add keywords, dateFrom, or dateTo if you only want matching posts.
4. Keep includeFullContent, includeImages, and includeLinks enabled for the richest dataset.
5. Run the Actor and export the dataset in JSON, CSV, Excel, XML, RSS, or HTML from Apify.

Input examples

Scrape a Beehiiv publication

{
  "publicationUrls": ["https://product.beehiiv.com"],
  "maxPosts": 100,
  "includeFullContent": true,
  "includeImages": true,
  "includeLinks": true
}

Scrape a custom domain and filter by keyword

{
  "publicationUrls": ["https://www.example-newsletter.com"],
  "keywords": ["AI", "funding", "sponsor"],
  "dateFrom": "2026-01-01",
  "maxPosts": 250
}

Enrich specific Beehiiv post URLs

{
  "postUrls": [
    "https://product.beehiiv.com/p/beehiiv-mcp-v2"
  ],
  "includeFullContent": true
}

Output example

{
  "sourceType": "publication",
  "sourceValue": "https://product.beehiiv.com",
  "publicationName": "beehiiv Product Updates",
  "publicationUrl": "https://product.beehiiv.com/",
  "postId": "c5f6f5e5-...",
  "postUrl": "https://product.beehiiv.com/p/beehiiv-mcp-v2",
  "canonicalUrl": "https://product.beehiiv.com/p/beehiiv-mcp-v2",
  "slug": "beehiiv-mcp-v2",
  "title": "Introducing beehiiv MCP v2",
  "description": "A product update from beehiiv.",
  "authorName": "beehiiv",
  "datePublished": "2026-05-20T12:00:00.000Z",
  "imageUrl": "https://media.beehiiv.com/...",
  "text": "Full article text...",
  "markdown": "Full article text...",
  "outboundUrls": ["https://www.beehiiv.com/..."],
  "sponsorUrls": [],
  "wordCount": 742,
  "readingTimeMinutes": 4,
  "scrapedAt": "2026-05-28T10:15:00.000Z"
}

Search methods and filters

Capability	Supported
Publication URL discovery	Yes
Beehiiv custom domains	Yes
Direct sitemap URL scraping	Yes
Direct post URL enrichment	Yes
Keyword filtering	Yes
Date range filtering	Yes
Full HTML extraction	Yes
Clean text extraction	Yes
Markdown-like text extraction	Yes
Author metadata	Yes
Publication metadata	Yes
Image extraction	Yes
Outbound link extraction	Yes
Sponsor or affiliate link detection	Yes
Word count and reading time	Yes
Deduplication across inputs	Yes
Forced Apify Residential Proxy	Yes

Pricing

This Actor is designed for pay-per-result pricing. Each saved Beehiiv post is one billable result.

Result type	What counts as one result
Beehiiv post	One saved post row after deduplication, keyword filtering, and date filtering

A typical run can scrape the latest 100 Beehiiv posts from a publication in a few minutes. Failed post fetches, duplicate URLs, and posts filtered out by keyword/date are not saved as dataset items. The Actor stops saving new rows when the Apify pay-per-result charge limit is reached.

The Actor always uses Apify residential proxies. For small tests, lower maxPosts to 10 or 25. For scheduled monitoring, run daily or weekly with the same publication inputs and deduplicate by postId or canonicalUrl in your downstream workflow.

Reliability notes

The Actor is fault tolerant across sources and posts. If one sitemap or post URL is blocked, deleted, or returns a Cloudflare challenge, the run logs the failure and continues with the remaining inputs. Article body extraction uses Beehiiv's common content container first, then falls back to broader article and main-content selectors; rows where metadata is available but full article text is not will have contentFetched: false.

Why use this Actor?

Beehiiv newsletters are useful for content research, sponsorship intelligence, creator discovery, competitor monitoring, and AI-ready content analysis. This scraper helps answer questions like:

• What has a Beehiiv publication published recently?
• Which authors write for a newsletter?
• Which outbound links, sponsors, and affiliate campaigns appear in posts?
• Which newsletters mention a brand, topic, product, or competitor?
• How long are posts, and how frequently does a publication publish?
• Which Beehiiv posts are best suited for content analysis or lead research?

Because it runs on Apify, you also get scheduling, API access, datasets, webhooks, proxy rotation, and integrations without maintaining your own server.