Screenshots from HTML avatar
Screenshots from HTML

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Screenshots from HTML

Screenshots from HTML

Developed by

Vojtěch Mašláň

Vojtěch Mašláň

Maintained by Community

Actor creates screenshots from a saved HTML structure.

0.0 (0)

Pricing

Pay per usage

2

Total users

43

Monthly users

3

Runs succeeded

>99%

Issue response

36 days

Last modified

2 years ago

You can access the Screenshots from HTML 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.

{
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"info": {
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"x-build-id": "oaEnkh94jljMgChYs"
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"servers": [
{
"url": "https://api.apify.com/v2"
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],
"paths": {
"/acts/vojtam~screenshots-from-html/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-vojtam-screenshots-from-html",
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"parameters": [
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"schema": {
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"description": "Enter your Apify token here"
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"responses": {
"200": {
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"/acts/vojtam~screenshots-from-html/runs": {
"post": {
"operationId": "runs-sync-vojtam-screenshots-from-html",
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"summary": "Executes an Actor and returns information about the initiated run in response.",
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"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
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},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"html": {
"title": "HTML Input",
"type": "string",
"description": "HTML that will be rendered"
},
"kvStoreId": {
"title": "Key-value store ID",
"type": "string",
"description": "ID of KV store with input data"
},
"kvStorePrefix": {
"title": "Key-value store prefix",
"type": "string",
"description": "If provided, only key-value pairs with given key prefix will be used"
},
"datasetId": {
"title": "Dataset ID",
"type": "string",
"description": "ID of dataset with input data"
},
"datasetHtmlField": {
"title": "Dataset HTML field",
"type": "string",
"description": "Name of field, that contains HTML of a site"
},
"datasetKeyFields": {
"title": "Dataset key fields",
"type": "array",
"description": "Fields of dataset items, to create an unique key",
"items": {
"type": "string"
}
},
"datasetSaveToDataset": {
"title": "Store to dataset",
"type": "boolean",
"description": "If true, actor will create new dataset with new field screenshotUrl for each item",
"default": true
},
"imageQuality": {
"title": "JPEG quality",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Quality of output image. Has to be in range 1-100.",
"default": 80
},
"viewportWidth": {
"title": "Viewport width",
"minimum": 1,
"type": "integer",
"description": "Viewport width",
"default": 1920
},
"viewportHeight": {
"title": "Viewport height",
"minimum": 1,
"type": "integer",
"description": "Viewport height",
"default": 1080
}
}
},
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"properties": {
"data": {
"type": "object",
"properties": {
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"type": "string"
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"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"
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"status": {
"type": "string",
"example": "READY"
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"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
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}
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"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
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"rebootCount": {
"type": "integer",
"example": 0
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"restartCount": {
"type": "integer",
"example": 0
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"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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"options": {
"type": "object",
"properties": {
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"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
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"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
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"type": "integer",
"example": 0
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"KEY_VALUE_STORE_READS": {
"type": "integer",
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},
"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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"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": {
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"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
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},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
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"type": "integer",
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"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
}
}
}
}
}
}
}
}
}
}

Screenshots from HTML 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 Screenshots from HTML from the options below:

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: