Substack Newsletter Sponsor Links & Brand Partnership Extractor
Pricing
from $2.45 / 1,000 item scrapeds
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Substack Newsletter Sponsor Links & Brand Partnership Extractor
Identify sponsored advertiser mentions, brand partnerships, tracking URLs, and promo discount codes across top Substack newsletters.
Pricing
from $2.45 / 1,000 item scrapeds
Rating
0.0
(0)
Developer
LiteZero
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
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🏛️ Substack Newsletter Sponsor Links & Brand Partnership Extractor
Identify sponsored advertiser mentions, brand partnerships, tracking URLs, and promo discount codes across top Substack newsletters.
🥊 Why This Actor Beats the Competition
| Feature | Tillzero Actor | Standard Web Scrapers / Legacy Bots |
|---|---|---|
| Speed & Throughput | ⚡ Direct API & high-throughput streams (sub-5s runs) | 🐢 Heavy browser Puppeteer overhead (45s+ per query) |
| Pricing Transparency | 💰 Pay-Per-Result ($3.50 / 1k items) | 💸 Expensive $49–$99/month subscriptions or compute lock-in |
| Data Quality & Schemas | 🛡️ Strictly typed, validated ISO 8601 JSON | ❌ Raw messy HTML dumps with missing columns |
| Bot Protection & Proxies | 🌐 Built-in smart rotation and residential resilience | 🚫 Frequent Cloudflare/Akamai 403 blocking |
🛠️ Step-by-Step: How to Use
Method 1: Apify Web Console
- Navigate to the Actor page in the Apify Store.
- Configure your search parameters in the intuitive Web UI.
- Click Start to run the scraper and export results to CSV, Excel, or JSON.
Method 2: Python SDK
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("litezero/substack-newsletter-sponsors-scraper").call(run_input={"newsletterSlug": "pragmaticengineer", "maxPosts": 5})dataset_items = client.dataset(run["defaultDatasetId"]).list_items().itemsprint(f"Extracted {len(dataset_items)} items!")
Method 3: Node.js SDK
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('litezero/substack-newsletter-sponsors-scraper').call({"newsletterSlug": "pragmaticengineer", "maxPosts": 5});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Extracted ${items.length} items!`);
Method 4: REST API / cURL
curl -X POST "https://api.apify.com/v2/acts/litezero~substack-newsletter-sponsors-scraper/runs?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"newsletterSlug": "pragmaticengineer", "maxPosts": 5}'
📥 Input Parameters
| Field | Type | Description | Default |
|---|---|---|---|
newsletterSlug | String | Substack publication subdomain slug (e.g. pragmaticengineer, lenny, notboring). | pragmaticengineer |
maxPosts | Integer | Number of recent archive posts to inspect for sponsor placements. | 20 |
📤 Output Data Dictionary & Sample JSON
{"newsletter": "The Pragmatic Engineer","postTitle": "Engineering Levels and Compensation Bands in 2026","publishDate": "2026-10-08","postUrl": "https://newsletter.pragmaticengineer.com/p/engineering-levels-2026","sponsorName": "Postman","sponsorUrl": "https://postman.com/enterprise?ref=pragmatic","promoCode": "PRAGMATIC20","sponsorBlurb": "Postman helps over 35 million developers collaborate on APIs seamlessly.","adPosition": "Top Header Sponsor"}
💡 Top Commercial Use Cases
- Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
- Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
- B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.