{
  "openapi": "3.0.1",
  "info": {
    "title": "Medium Scraper - Articles, Authors, Tags & Search",
    "description": "Scrape Medium articles by tag, keyword, author, publication or link: title, subtitle, author with followers and bio, publication, dates, reading time, claps, responses, tags, member-only flag, image and full text as markdown.",
    "version": "0.1",
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  },
  "servers": [
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        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
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        ],
        "responses": {
          "200": {
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    },
    "/acts/automly~medium-scraper/runs": {
      "post": {
        "operationId": "runs-sync-automly-medium-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
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          "Run Actor"
        ],
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      "post": {
        "operationId": "run-sync-automly-medium-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "tags": {
            "title": "Tags",
            "type": "array",
            "description": "Enter Medium tags (topics), one per line: python, machine-learning, Data Science. Every tag is read newest first, back through its whole archive.",
            "items": {
              "type": "string"
            }
          },
          "searchQueries": {
            "title": "Search keywords",
            "type": "array",
            "description": "Enter words to search Medium stories for, one search per line, like web scraping or remote work. Medium shows up to 1,000 stories per search, most relevant first.",
            "items": {
              "type": "string"
            }
          },
          "authors": {
            "title": "Authors",
            "type": "array",
            "description": "Enter Medium usernames (@kozyrkov or kozyrkov) or profile links. Every story the author has published, newest first.",
            "items": {
              "type": "string"
            }
          },
          "publications": {
            "title": "Publications",
            "type": "array",
            "description": "Enter Medium publications by name (swlh), by their own domain (levelup.gitconnected.com) or by link. Every story in the publication, newest first.",
            "items": {
              "type": "string"
            }
          },
          "startUrls": {
            "title": "Medium links",
            "type": "array",
            "description": "Or paste any Medium links, one per line: tag pages (medium.com/tag/python), search pages (medium.com/search?q=ai), profiles (medium.com/@kozyrkov or kozyrkov.medium.com), publications (medium.com/swlh or their own domain) and single articles, including articles on publication and personal domains.",
            "items": {
              "type": "string"
            }
          },
          "maxArticles": {
            "title": "Max articles per input",
            "minimum": 0,
            "type": "integer",
            "description": "Set how many articles to save for each tag, search, author, publication or link. 0 saves all of them.",
            "default": 100
          },
          "includeText": {
            "title": "Include article text",
            "type": "boolean",
            "description": "Add each article's text as plain text and as markdown (headings, links, lists, code and images kept). For member-only stories only the free preview that anyone can read is included, and textIsPreview is true.",
            "default": false
          },
          "includeAuthors": {
            "title": "Add author rows",
            "type": "boolean",
            "description": "Also save one row per author found: name, bio, followers, following, avatar, membership and X (Twitter) link. Charged as an author row.",
            "default": false
          },
          "includePublications": {
            "title": "Add publication rows",
            "type": "boolean",
            "description": "Also save one row per publication found: name, description, followers, logo, domain and creator. Charged as a publication row.",
            "default": false
          },
          "publishedAfter": {
            "title": "Published after",
            "type": "string",
            "description": "Keep only articles first published on or after this date. Tags, authors and publications stop reading once they reach older articles, so a daily run reads only what is new."
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "The default works for Medium.",
            "default": {
              "useApifyProxy": true
            }
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
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                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
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                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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                    "example": 0
                  },
                  "PROXY_SERPS": {
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                    "example": 0
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
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                  "DATASET_WRITES": {
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                  "KEY_VALUE_STORE_WRITES": {
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}