{
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  "info": {
    "title": "Substack Scraper - posts, comments & authors",
    "description": "Scrape Substack newsletters at scale: full post archives with article text, comments, author profiles, and publication stats like subscriber counts. Works with any Substack URL or custom domain. Fast API-based scraping with no browser, pay per result. Export to CSV, JSON, Excel, or API.",
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  "components": {
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        "type": "object",
        "properties": {
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "Substack URLs to scrape: publication homepages (subdomain or custom domain), individual post URLs, author profiles (https://substack.com/@handle), and open.substack.com share links. Leave empty only if you enable Discovery mode below.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "mode": {
            "title": "Scrape mode",
            "enum": [
              "posts",
              "publication",
              "author"
            ],
            "type": "string",
            "description": "What to scrape for each publication URL. 'posts' = publication metadata + all posts in the archive. 'publication' = publication metadata only. Post and author URLs are always scraped as posts/authors regardless of this setting ('author' is accepted as an alias of 'publication').",
            "default": "posts"
          },
          "maxPostsPerPublication": {
            "title": "Max posts per publication",
            "minimum": 0,
            "type": "integer",
            "description": "Limit the number of posts scraped per publication (lower = cheaper runs). Set 0 to scrape the ENTIRE archive — large publications can have thousands of posts. Leaving the field empty uses the default of 50.",
            "default": 50
          },
          "includeContent": {
            "title": "Include full post content",
            "type": "boolean",
            "description": "Fetch each post's full HTML + plain text body. Adds one request per post but gives you the actual article content.",
            "default": true
          },
          "includeComments": {
            "title": "Include comments",
            "type": "boolean",
            "description": "Fetch the full comment thread for each post (adds one request per post). Note: every comment becomes a separate result in the dataset, and popular posts can have hundreds of comments.",
            "default": false
          },
          "onlyFreePosts": {
            "title": "Only free posts",
            "type": "boolean",
            "description": "Skip paid/subscriber-only posts in publication archives (their bodies can't be fully scraped anyway). Post URLs given directly in Start URLs are always scraped.",
            "default": false
          },
          "searchQuery": {
            "title": "Search query (optional)",
            "type": "string",
            "description": "Filter each publication archive by a search term. Only posts matching the term are scraped."
          },
          "discoveryMode": {
            "title": "Discovery mode",
            "enum": [
              "none",
              "leaderboard",
              "search"
            ],
            "type": "string",
            "description": "Auto-discover publications without providing URLs — seeds from 5 curated top publications and expands through each publication's /recommendations page until the limit below is hit. 'Search' additionally filters every discovered publication's archive by the Discovery query. Off by default: a discovery run scrapes MANY publications and produces a correspondingly large (and more expensive) dataset.",
            "default": "none"
          },
          "discoveryQuery": {
            "title": "Discovery query",
            "type": "string",
            "description": "Used with 'Search' Discovery mode: keyword used to filter the archive of each discovered publication. Ignored otherwise."
          },
          "maxPublicationsToDiscover": {
            "title": "Max publications to discover",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Cap on how many publications Discovery mode will feed into the scraper (the 5 seed publications count toward it; Start URLs do not). Lower = cheaper runs.",
            "default": 25
          },
          "maxConcurrency": {
            "title": "Max concurrency",
            "minimum": 1,
            "maximum": 25,
            "type": "integer",
            "description": "Parallel requests. Higher = faster runs; proxy rotation is handled automatically, but very aggressive settings can hit Substack rate limits.",
            "default": 5
          }
        }
      },
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                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
                "type": "string",
                "format": "date-time",
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              "status": {
                "type": "string",
                "example": "READY"
              },
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                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
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                  "userAgent": {
                    "type": "string"
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              },
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                  "computeUnits": {
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              },
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              "defaultKeyValueStoreId": {
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              "containerUrl": {
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                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
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