Substack Newsletter Scraper & Medium Article Scraper avatar

Substack Newsletter Scraper & Medium Article Scraper

Pricing

from $5.00 / 1,000 substack / medium newsletter & creator profile extracteds

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Substack Newsletter Scraper & Medium Article Scraper

Substack Newsletter Scraper & Medium Article Scraper

convertkit, substack paid, medium member, Ghost & Beehiiv Creator Lead Extractor. Extract newsletter authors, subscriber counts, paid tier pricing, social links, and full article metadata.

Pricing

from $5.00 / 1,000 substack / medium newsletter & creator profile extracteds

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PROOFNEXA

PROOFNEXA

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Substack & Medium Newsletter Posts & Creator Scraper

⚡ Why Developers Switch to This Actor vs. Legacy Store Scrapers

Benchmark MetricThis Actor (invaluable_rondeau)Legacy Store Competitors
Pricing (Pay-Per-Event)$0.0001 Start + $0.001–$0.005 / item (80–90% Lower)$0.01–$0.05 / item or $29–$99/mo rental
1-Click Trial ReadinessPre-configured multi-item benchmark input (prefill ready)Empty input or fails without residential proxy
Speed & Reliability<3s startup, deterministic JSON schema, 100% success rateSlow browser boot, frequent timeouts & schema drift
AI & Automation NativeBuilt-in Claude/Cursor MCP & Google Sheets =IMPORTDATA()Manual JSON download only

Scrape Substack and Medium publications, latest newsletter posts, author profiles, RSS feed metadata, and creator outreach leads in bulk without cookies.

Built for growth engineers, RevOps teams, SEO/B2B agencies, quantitative researchers, and AI agent pipelines (n8n, Make.com, Clay, Zapier, LangChain, CrewAI, and Claude / Cursor MCP) that require deterministic, structured JSON output with zero monthly subscription lock-in.


Why Use Substack & Medium Newsletter Posts & Creator Scraper (invaluable_rondeau/substack-medium-newsletter-creator-scraper)?

  • Zero Monthly SaaS Seat Lock-In: Replace $99–$299/month legacy subscriptions with transparent, fractional Pay-Per-Event pricing ($0.005 Actor start + $0.005 per publication-scraped event).
  • High-Throughput Batch Processing: Process 8+ targets out of the box or scale to 1,000+ targets via Apify API, webhooks, or scheduled cron jobs.
  • AI & RAG Ready Output: Every dataset item returns clean, normalized, deterministic JSON fields ready for direct ingestion into Vector Databases, LLM RAG pipelines, Google Sheets, HubSpot, Salesforce, Clay, or n8n.
  • Built-in Retry & Fault Tolerance: Gracefully handles rate limits, redirects, and malformed upstream responses without crashing your batch pipeline.

Key Features & Extracted Data Points

  1. Automated Multi-Target Extraction: Pass an array of targets (URLs, domains, queries, or IDs) and extract structured intelligence in a single serverless run.
  2. Enriched Metadata & Scoring: Automatically normalizes timestamps, status flags, authority/sentiment signals, and actionable B2B/research indicators.
  3. Zero-Config Default Prefill: Click Start in Apify Console to immediately test a verified multi-item batch with zero setup required.
  4. Native Automation & Webhook Support: Trigger via POST https://api.apify.com/v2/acts/invaluable_rondeau~substack-medium-newsletter-creator-scraper/run-sync-get-dataset-items and receive an instant JSON array response.

Transparent Pay-Per-Event (PPE) Pricing

Billing EventEvent KeyPrice (USD)Description
Actor Startapify-actor-start$0.005Base initialization per Actor run
Primary Extraction / Deep Enrichment Eventpublication-scraped$0.005Charged per processed target / deep intelligence event

Cost Example: A standard default batch of 8 targets with primary + deep intelligence enrichment costs approximately $0.04 total — covered automatically by your Apify free monthly usage credits.


Example Input (input_schema.json)

{
"publications": [
"https://www.lennysnewsletter.com/feed",
"https://newsletter.pragmaticengineer.com/feed",
"https://stratechery.com/feed/",
"https://blog.bytebytego.com/feed",
"https://www.notboring.co/feed",
"https://hnrss.org/frontpage",
"https://techcrunch.com/feed/",
"https://www.theverge.com/rss/index.xml"
]
}

Example Output Dataset Item

{
"actor": "invaluable_rondeau/substack-medium-newsletter-creator-scraper",
"title": "Substack & Medium Newsletter Posts & Creator Scraper",
"status": "SUCCEEDED",
"extractedAt": "2026-10-24T12:00:00.000Z",
"dataQualityScore": 98,
"categories": ["SOCIAL_MEDIA", "LEAD_GENERATION", "NEWS"],
"structuredIntelligence": {
"verified": true,
"enrichmentTier": "DEEP_INTELLIGENCE",
"readyForRagAndCrm": true
},
"_proofnexaNextSteps": {
"apifyStoreHub": "https://apify.com/invaluable_rondeau",
"webStudio": "https://quant-b2b-risk-gate-api.vercel.app",
"remoteMcpEndpoint": "https://quant-b2b-risk-gate-api.vercel.app/mcp"
}
}

Quick Integration: n8n, Make.com, Clay, cURL & Python

1. Direct Synchronous REST API Call (Returns JSON Dataset Directly)

curl -X POST "https://api.apify.com/v2/acts/invaluable_rondeau~substack-medium-newsletter-creator-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{ "publications": [ "https://www.lennysnewsletter.com/feed", "https://newsletter.pragmaticengineer.com/feed", "https://stratechery.com/feed/", "https://blog.bytebytego.com/feed", "https://www.notboring.co/feed", "https://hnrss.org/frontpage", "https://techcrunch.com/feed/", "https://www.theverge.com/rss/index.xml" ] }'

2. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("invaluable_rondeau/substack-medium-newsletter-creator-scraper").call(run_input={
"publications": [
"https://www.lennysnewsletter.com/feed",
"https://newsletter.pragmaticengineer.com/feed",
"https://stratechery.com/feed/",
"https://blog.bytebytego.com/feed",
"https://www.notboring.co/feed",
"https://hnrss.org/frontpage",
"https://techcrunch.com/feed/",
"https://www.theverge.com/rss/index.xml"
]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

3. Claude Code / Cursor / Windsurf MCP Integration

Connect our remote HTTP MCP Server or Apify MCP Server to invoke substack-medium-newsletter-creator-scraper directly from your AI coding assistant:

$claude mcp add --transport http proofnexa https://quant-b2b-risk-gate-api.vercel.app/mcp