# Substack — Data Extraction Field-tested against multiple Substack publications on 2026-04-27. No authentication required for any approach documented here. All endpoints work via `http_get` without a browser. --- ## TL;DR Substack exposes a clean public REST API at `{publication}.substack.com/api/v1/`. Every publication hosted on Substack (custom domain or `{name}.substack.com`) responds to the same API paths. No API key, no login, no browser required. **What you can do:** - List all posts from any publication (`/api/v1/posts`) - Fetch full post content by slug (`/api/v1/posts/{slug}`) - Fetch post comments (`/api/v1/post/{post_id}/comments`) - Read the RSS feed (`/feed`) for title/date/link/description metadata **Limitations:** - Paid-only post bodies return a truncated HTML preview for `body_html` (not the full article) - No cross-publication search API accessible without a logged-in session - Comment endpoint uses `post_id` (integer), not slug --- ## Approach 1 (Recommended): Publication Post List `GET https://{subdomain}.substack.com/api/v1/posts?limit=N&offset=N` Works for any Substack publication. Returns posts sorted newest-first. ```python from helpers import http_get import json def substack_list_posts(publication_url, limit=20, offset=0): """List posts from a Substack publication. Args: publication_url: Base URL of the publication, e.g. 'https://www.slowboring.com' or 'https://simonwillison.substack.com' limit: Number of posts to return (max observed: 100) offset: Pagination offset Returns list of post dicts with keys: title, subtitle, slug, canonical_url, post_date, audience, wordcount, reactions, restacks. audience is 'everyone' (free) or 'only_paid' (paywalled). """ url = f"{publication_url.rstrip('/')}/api/v1/posts?limit={limit}&offset={offset}" posts = json.loads(http_get(url)) return [ { "title": p.get("title"), "subtitle": p.get("subtitle"), "slug": p.get("slug"), "url": p.get("canonical_url"), "post_date": p.get("post_date"), "audience": p.get("audience"), # 'everyone' or 'only_paid' "wordcount": p.get("wordcount"), "reactions": p.get("reactions"), # e.g. {"❤": 221} "restacks": p.get("restacks"), "cover_image": p.get("cover_image"), "post_id": p.get("id"), } for p in posts ] posts = substack_list_posts("https://www.slowboring.com", limit=10) # [ # { # "title": "What to make of the generic ballot", # "subtitle": "Plus ties, Mamdani, the Obama legacy, and fundraising's diminishing returns", # "slug": "what-to-make-of-the-generic-ballot", # "url": "https://www.slowboring.com/p/what-to-make-of-the-generic-ballot", # "post_date": "2026-04-24T10:03:26.581Z", # "audience": "everyone", # "wordcount": 4369, # "reactions": {"❤": 221}, # "restacks": 10, # "post_id": 194950421, # }, # ... # ] # Filter for free (non-paywalled) posts only free_posts = [p for p in posts if p["audience"] == "everyone"] ``` ### Pagination ```python def substack_all_posts(publication_url, max_posts=200): """Fetch all posts from a publication via paginated API.""" all_posts = [] offset = 0 batch_size = 50 while len(all_posts) < max_posts: batch = substack_list_posts(publication_url, limit=batch_size, offset=offset) if not batch: break all_posts.extend(batch) if len(batch) < batch_size: break # last page offset += batch_size return all_posts[:max_posts] ``` --- ## Approach 2: Full Post Content by Slug `GET https://{subdomain}.substack.com/api/v1/posts/{slug}` Returns the full post including `body_html` for free posts. Paywalled posts return a truncated HTML preview for `body_html` (not the full article). ```python from helpers import http_get import json, re def substack_get_post(publication_url, slug): """Fetch full content of a single Substack post by slug. Returns title, body as plain text, body_html, author, date, and metadata. body_html is a truncated preview for paywalled posts. """ url = f"{publication_url.rstrip('/')}/api/v1/posts/{slug}" post = json.loads(http_get(url)) body_html = post.get("body_html") body_text = None if body_html: # Strip HTML tags for plain text body_text = re.sub(r'<[^>]+>', ' ', body_html) body_text = re.sub(r'\s+', ' ', body_text).strip() return { "title": post.get("title"), "subtitle": post.get("subtitle"), "slug": post.get("slug"), "url": post.get("canonical_url"), "post_date": post.get("post_date"), "audience": post.get("audience"), "wordcount": post.get("wordcount"), "reactions": post.get("reactions"), "restacks": post.get("restacks"), "body_html": body_html, # full article if free; truncated preview if paywalled "body_text": body_text, # full plain text if free; truncated if paywalled "truncated_preview": post.get("truncated_body_text"), # always present "post_id": post.get("id"), "publication_id": post.get("publication_id"), } post = substack_get_post( "https://www.slowboring.com", "what-to-make-of-the-generic-ballot" ) # Free post (audience == "everyone"): # { # "title": "What to make of the generic ballot", # "audience": "everyone", # "wordcount": 4369, # "body_html": "
I suppose this isn't a huge surprise...
...", # ~40KB full article # "body_text": "I suppose this isn't a huge surprise ...", # ~25KB plain text # "post_id": 194950421, # } # Paywalled post (audience == "only_paid"): # post["body_html"] -> truncated HTML preview (a few hundred bytes, not the full article) # post["body_text"] -> truncated plain text (stripped from truncated HTML) # post["truncated_preview"] -> short plaintext excerpt (separate, always present) # Use audience == "everyone" as the reliable signal for full content availability. ``` --- ## Approach 3: Post Comments `GET https://{subdomain}.substack.com/api/v1/post/{post_id}/comments?limit=N` Note: uses **integer `post_id`**, not slug. Get `post_id` from the post list or post detail responses. ```python from helpers import http_get import json def substack_get_comments(publication_url, post_id, limit=50): """Fetch top-level comments for a Substack post. Args: publication_url: Base URL of the publication post_id: Integer post ID (from post list or post detail) limit: Max comments to return Returns list of comment dicts. """ url = f"{publication_url.rstrip('/')}/api/v1/post/{post_id}/comments?limit={limit}" data = json.loads(http_get(url)) comments = data.get("comments", []) return [ { "comment_id": c.get("id"), "author": c.get("name"), "author_handle": c.get("handle"), "body": c.get("body"), "date": c.get("date"), "reaction_count": c.get("reaction_count"), # e.g. {"❤": 99} "children_count": c.get("children_count"), # reply count "restacks": c.get("restacks"), } for c in comments if not c.get("deleted") ] comments = substack_get_comments("https://www.slowboring.com", 194950421, limit=10) # [ # { # "comment_id": 248392394, # "author": "John from FL", # "body": "Sam asks: \"don't they kind of have a point...\"", # "date": "2026-04-24T10:20:21.997Z", # "reaction_count": {"❤": 99}, # "children_count": 3, # }, # ... # ] ``` --- ## Approach 4: RSS Feed (Lightweight Metadata) `GET https://{subdomain}.substack.com/feed` Returns an RSS 2.0 feed. Useful when you only need title/date/link/description without hitting the JSON API. Works as a quick check without parsing JSON. ```python from helpers import http_get import re def substack_rss(publication_url, max_items=20): """Fetch recent post metadata via RSS feed. Lighter than the JSON API — only returns title, link, pubDate, and description (short excerpt). Does not include body_html or wordcount. """ rss = http_get(f"{publication_url.rstrip('/')}/feed") items = re.findall( r'