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Pay per usage
Upload the items from the default dataset of an actor's run to an S3 bucket in JSON format.
Pricing
Pay per usage
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Matthias Stephens
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2
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40
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6
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2 years ago
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You can access the S3 Bucket Uploader 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.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "BQy4dKndtK6kqW6js" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mstephen190~s3-bucket-uploader/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mstephen190-s3-bucket-uploader", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mstephen190~s3-bucket-uploader/runs": { "post": { "operationId": "runs-sync-mstephen190-s3-bucket-uploader", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mstephen190~s3-bucket-uploader/run-sync": { "post": { "operationId": "run-sync-mstephen190-s3-bucket-uploader", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "bucketName", "region", "accessKeyId", "secretAccessKey", "actorRunId", "fileName", "separateItems" ], "properties": { "bucketName": { "title": "Bucket name", "type": "string", "description": "The name of the bucket." }, "region": { "title": "Bucket region", "enum": [ "us-east-2", "us-east-1", "us-west-1", "us-west-2", "af-south-1", "ap-east-1", "ap-southeast-3", "ap-south-1", "ap-northeast-3", "ap-northeast-2", "ap-southeast-1", "ap-southeast-2", "ap-northeast-1", "ca-central-1", "cn-north-1", "cn-northwest-1", "eu-central-1", "eu-west-1", "eu-west-2", "eu-south-1", "eu-west-3", "eu-north-1", "sa-east-1", "me-south-1", "us-gov-east-1", "us-gov-west-1" ], "type": "string", "description": "Select your bucket's region", "default": "us-east-2" }, "accessKeyId": { "title": "Access key", "type": "string", "description": "The access key found on your AWS account." }, "secretAccessKey": { "title": "Secret access key", "type": "string", "description": "The secret access key found on your AWS account." }, "actorRunId": { "title": "Actor run ID", "type": "string", "description": "The ID of the actor's run." }, "pathName": { "title": "Path name", "pattern": "^[^\\.|\\/][^\\.]+[^\\.|\\/]$", "type": "string", "description": "The path you'd like each record to live in. Check the README to learn about which variables are available. It is not recommended to use unique variables in the path name." }, "fileName": { "title": "File name", "pattern": "^[^\\.|\\/]+$", "type": "string", "description": "The name each file should have. You do not need to include the file's extension. Check the README to learn about which variables are available." }, "separateItems": { "title": "Separate items", "type": "boolean", "description": "When set to \"false\", the entire dataset will be uploaded as a single JSON file. When set to \"true\", each dataset item will be its own file.", "default": false } } }, "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 } } } } } } } } }}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 S3 Bucket Uploader from the options below:
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