Substack Post Content Fetcher

News & Research

Operated by Sourcelane✓ verified

A web-scraping connector that fetches and extracts full Substack post content and metadata by post URL: it retrieves the article HTML body and headline fields, publishing metadata, engagement metrics, tags, cover image, and author details to support indexing, parsing, rendering, NLP, and results construction. The connector captures identifiers and run metadata alongside content-level data such as title and subtitle, complete body HTML suitable for text mining or rendering, publish and update timestamps, content type and language, paywall status and available preview content, word counts, engagement statistics (likes, comments, restacks), tag lists, cover image links, and author name/handle — enabling newsletter content analysis, SEO research, training-corpus building, and programmatic summarization workflows.

Verified Sep 28, 3:55 AM

$0.0035

per post

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Newsletter content analysis
Text mining and NLP research (entity extraction, topic modeling, sentiment)
Training results construction for LLM fine-tuning or evaluation
Content archiving of full post bodies
SEO and competitive research (verbatim content inspection)
Programmatic reading and summarization (feeding full posts into summarizers, translators, or retrieval-augmented workflows)

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"substack-post-content","params":{"postUrls":["https://www.astralcodexten.com/p/three-model-organisms-for-taste"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`postUrls`	array	required	Full URLs of Substack posts to fetch. Must include /p/{slug} (e.g. https://astralcodexten.substack.com/p/my-post). Works with both substack.com subdomains and custom domains.

Each result contains

Field	Type	Description
`postId`	integer	Post Id
`postUrl`	string	Post Url
`title`	string	Title
`subtitle`	string	Subtitle
`description`	string	Description
`bodyHtml`	string	Body Html
`publishedAt`	string	Published At
`updatedAt`	string	Updated At
`type`	string	Type
`isPaywalled`	boolean	Is Paywalled
`likesCount`	integer	Likes Count
`commentsCount`	integer	Comments Count
`restacksCount`	integer	—
`wordCount`	integer	—
`coverImageUrl`	string	—
`language`	string	—
`tags`	array	—
`authorName`	string	—
`authorHandle`	string	—
`scrapedAt`	string	—

Use Substack Post Content Fetcher from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What has been reported about solid-state batteries in the last week? Cite sources.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"substack-post-content","params":{"postUrls":["https://www.astralcodexten.com/p/three-model-organisms-for-taste"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "substack-post-content",
        "params": {"postUrls":["https://www.astralcodexten.com/p/three-model-organisms-for-taste"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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