Runway Automation

Pricing

$19.00/month + usage

Runway Automation

Automate Runway to generate AI videos via API or UI. Create multiple videos simultaneously, manage batch processing, and view results in a built-in video gallery for easy browsing and downloading. Perfect for streamlining your RunwayML workflow.

Pricing

$19.00/month + usage

Rating

1.0

(1)

Developer

Iñigo Garcia Olaizola

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Categories

Automation

Videos

You can access the Runway Automation programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "FO6ngUxAvGnngkOGW"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/igolaizola~runway-automation/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-igolaizola-runway-automation",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/igolaizola~runway-automation/runs": {
      "post": {
        "operationId": "runs-sync-igolaizola-runway-automation",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/igolaizola~runway-automation/run-sync": {
      "post": {
        "operationId": "run-sync-igolaizola-runway-automation",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "session"
        ],
        "properties": {
          "session": {
            "title": "Session",
            "type": "string",
            "description": "Session from app.runway.com"
          },
          "folder": {
            "title": "Folder in Runway",
            "type": "string",
            "description": "Runway folder where assets will be generated, it must be manually created in Runway"
          },
          "prompts": {
            "title": "Prompts",
            "type": "array",
            "description": "List of prompts to generate videos",
            "items": {
              "type": "string"
            }
          },
          "images": {
            "title": "Image URLs (only for image to video)",
            "type": "array",
            "description": "List of image URLs to generate videos. (You can also use Google Drive folder URL instead)",
            "items": {
              "type": "string"
            }
          },
          "googleDriveFolder": {
            "title": "Google Drive folder URL (only for image to video)",
            "type": "string",
            "description": "Google Drive folder URL with images to generate videos. It must be publicly shared."
          },
          "mode": {
            "title": "Generation mode",
            "enum": [
              "explore",
              "credits"
            ],
            "type": "string",
            "description": "Mode to generate videos",
            "default": "explore"
          },
          "model": {
            "title": "Model",
            "enum": [
              "gen3-alpha-turbo",
              "gen3-alpha",
              "gen4",
              "gen4-turbo"
            ],
            "type": "string",
            "description": "Model to generate images (text to video only available for 'Gen 3 Alpha')",
            "default": "gen4-turbo"
          },
          "aspectRatio": {
            "title": "Aspect ratio",
            "enum": [
              "16:9",
              "9:16",
              "4:3",
              "3:4",
              "1:1",
              "21:9"
            ],
            "type": "string",
            "description": "Aspect ratio of the generated images",
            "default": "16:9"
          },
          "seconds": {
            "title": "Seconds",
            "enum": [
              "5s",
              "10s"
            ],
            "type": "string",
            "description": "Seconds of the generated video",
            "default": "10s"
          },
          "concurrency": {
            "title": "Concurrency",
            "type": "integer",
            "description": "Number of concurrent jobs",
            "default": 1
          },
          "minWait": {
            "title": "Minimum wait time",
            "type": "integer",
            "description": "Minimum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.",
            "default": 5
          },
          "maxWait": {
            "title": "Maximum wait time",
            "type": "integer",
            "description": "Maximum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.",
            "default": 10
          },
          "jobTimeout": {
            "title": "Job timeout",
            "type": "integer",
            "description": "Job timeout in seconds. If the job takes longer than the timeout, it will be skipped.",
            "default": 300
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "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
                  }
                }
              },
              "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
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "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",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "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
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Runway Automation OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Runway Automation from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Runway Automation API in Python

Runway Automation API in JavaScript

Runway Automation API through CLI

Runway Automation API

Midjourney Video Automation

igolaizola/midjourney-video-automation

Automate Midjourney to generate AI videos through API or user interface. Create multiple clips simultaneously, manage batch processing, and auto-extend videos. Includes an HTML gallery for easy browsing and downloading. Perfect for streamlining your Midjourney video workflow.

Iñigo Garcia Olaizola

Midjourney Automation

igolaizola/midjourney-automation

Automate Midjourney to generate AI images through API or user interface. Create multiple artworks simultaneously, manage batch processing, and auto-upscale images. Includes an image gallery for easy browsing and downloading. Perfect for streamlining your Midjourney workflow.

Iñigo Garcia Olaizola

140

5.0

Veo3 Video Generator

powerai/veo3-video-generator

Generate high-quality videos from text prompts using Google's Veo3 AI model for low price

PowerAI

5.0

Sora 2 Watermark Remover (AI Inpainting)

tabtablabs/sora-2-watermark-remover

Remove the visible Sora 2 watermark from local or hosted URLs. Motion-aware AI inpainting, batch runs, 4K-safe, and a simple API.

Tab Tab Labs

117

Freepik NanoBanana Automation 🍌

igolaizola/freepik-nanobanana

Automate Freepik NanoBanana workflows powered by Google’s latest AI image model. Batch generations via no code UI or API, chain steps, set aspect ratios, leverage unlimited runs, auto build an album HTML for preview and batch download, and scale with concurrency.

Iñigo Garcia Olaizola

Sora 2 Video Downloader

salmanrajz/sora-video-downloader

Download Sora videos from OpenAI's platform. Supports single & bulk downloads with multiple quality options. Fast, reliable, privacy-focused.

Salman Ahmed

Bazaraki Scrapper

sashkavasa/bazaraki-scrapper

scrapping bazaraki 1rst page real estate

Александр Штерн

Sora AI Video Scraper - OpenAI Text-to-Video

payai/sora-video-scraper

Extract AI-generated videos from Sora by OpenAI. Collect video URLs, thumbnails, prompts, and metadata. Perfect for AI researchers and content creators.

PayAI

1.0

Sora2 Watermark Remover

yeekal/sora2-watermark-remover

Instantly remove watermarks from your Sora 2 videos with our free AI tool. Get clean, high-quality MP4 downloads in seconds without losing video quality.

yeekal

5.0

Sora Scraper

lexis-solutions/sora-scraper

Discover AI-generated video insights from OpenAI’s Sora 2 community—extract posts, media, user profiles, comments, and engagement metrics. Perfect for trend analysis, content curation, influencer tracking, and research. Fast, reliable, and fully customizable.