Paved Newsletter Sponsorship Marketplace Scraper avatar

Paved Newsletter Sponsorship Marketplace Scraper

Pricing

from $0.80 / 1,000 record scrapeds

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Paved Newsletter Sponsorship Marketplace Scraper

Paved Newsletter Sponsorship Marketplace Scraper

Scrape the Paved newsletter sponsorship marketplace: subscriber counts, sponsored post/email/dedicated-email pricing, ad formats, next open ad slot, category, and social-proof signals like past advertisers plus verified/featured/in-demand badges.

Pricing

from $0.80 / 1,000 record scrapeds

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Developer

BowTiedRaccoon

BowTiedRaccoon

Maintained by Community

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2

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1

Monthly active users

16 hours ago

Last modified

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Scrape Paved's newsletter advertising marketplace for the ad inventory media buyers shop: subscriber counts, sponsored post/email/dedicated-email pricing, ad formats, next open slot, category, and social-proof signals like past advertisers and verified/featured/in-demand badges.

What it does

This actor scrapes newsletter listings from Paved, the newsletter advertising marketplace advertisers use to find and price newsletter sponsorships.

For each newsletter it extracts:

  • Name, domain, category, logo, and Paved profile URL
  • Subscriber count and a free-text audience description (often includes geography and demographics)
  • Ad formats offered (Sponsored Posts, Sponsored Emails, Dedicated Emails) and the listed price(s) for each
  • Next available open ad slot date and how many upcoming slots are open
  • Verified / top-rated / in-demand / featured / has-discounts flags and the maximum discount offered
  • Campaign history — successful campaign count, repeat campaigns, rebookings, days since the listing was last updated
  • Paved's computed estimated earnings-per-visit (an ROI/CPM-style benchmark)
  • Names of brands that have previously sponsored the newsletter, when published

Use cases

  • Media buying — build a shortlist of newsletters by category, audience size, and price
  • Rate-card research — see what comparable newsletters charge for sponsored posts, sponsored emails, and dedicated sends
  • Prospecting — find newsletters with open ad slots in a specific niche
  • Competitive intelligence — see which brands have sponsored a given newsletter before
  • Budget planning — filter by subscriber count to match a target reach and spend

Input

FieldTypeDefaultDescription
categoriesarrayAllNewsletter category filter(s), multi-select (e.g. Tech, Finance, Business)
adFormatsarrayAllAd format filter(s), multi-select: Sponsored Posts, Sponsored Emails, Dedicated Emails
minSubscribersinteger—Only include newsletters with at least this many subscribers
maxItemsinteger15Maximum newsletter listings to scrape

Leave categories and adFormats empty to scrape the full marketplace.

Output

Each dataset record contains:

{
"newsletter_name": "AI Fire",
"newsletter_domain": "aifire.co",
"newsletter_slug": "ai-fire",
"paved_profile_url": "https://www.paved.com/sites/ai-fire",
"logo_url": "https://assets.paved.com/uploads/site/logo/5017/LOGO-04.png",
"categories": ["Tech"],
"subscriber_count": 57000,
"audience_description": "Our readers are highly-skilled professionals in tech, marketing, entrepreneurship, and founding roles...",
"ad_formats": ["Sponsored Posts", "Sponsored Emails"],
"sponsored_post_prices_usd": [250],
"sponsored_email_prices_usd": [750, 925, 560, 2450, 650, 500, 249, 200, 180, 150],
"dedicated_email_prices_usd": [],
"next_available_date": "2026-10-03T00:00:00.000Z",
"available_slot_count": 179,
"max_discount_pct": 10,
"is_verified": true,
"is_top_rated": true,
"in_demand": true,
"has_discounts": true,
"featured": false,
"successful_campaign_count": 250,
"repeat_campaigns_count": 166,
"rebookings": null,
"days_since_last_update": 1,
"earnings_per_visit_usd": 6,
"previous_advertiser_names": ["HubSpot", "Snyk", "Aircall", "Surfshark", "..."],
"scraped_at": "2026-10-01T16:08:03.179Z"
}

Notes

  • Price fields are arrays because a newsletter can publish more than one price point for the same ad format (e.g. different placements within a sponsored email).
  • next_available_date and available_slot_count reflect only upcoming dates the publisher has currently published as open — a sold-out newsletter returns null / 0.
  • Fields like rebookings, max_discount_pct, and featured are only present when the publisher has set them; most listings populate the majority of fields.