Pricing
$5.00 / 1,000 screenshots
Pricing
$5.00 / 1,000 screenshots
Rating
0.0
(0)
Developer
Jonathan Geiger
Actor stats
0
Bookmarked
2
Total users
2
Monthly active users
9 months ago
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You can access the Web Screenshot + HTML Extractor Actor 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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Use this if you want to run the Actor on multiple pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "task": { "title": "Task Type", "enum": [ "screenshot", "extract_html" ], "type": "string", "description": "Choose whether to take a screenshot or extract HTML.", "default": "screenshot" }, "format": { "title": "Output Format", "enum": [ "png", "jpeg", "webp", "pdf" ], "type": "string", "description": "The file format for the screenshot.", "default": "png" }, "fullPage": { "title": "Full Page Screenshot", "type": "boolean", "description": "Capture the full scroll height of the page.", "default": false }, "fullPageScroll": { "title": "Scroll Before Capture", "type": "boolean", "description": "Scrolls down the page to trigger lazy-loaded content.", "default": false }, "fullPageScrollDuration": { "title": "Scroll Duration (ms)", "minimum": 100, "maximum": 10000, "type": "integer", "description": "How long to spend scrolling the page before taking the screenshot.", "default": 400 }, "delay": { "title": "Delay Before Capture (s)", "minimum": 0, "maximum": 10, "type": "integer", "description": "Wait for this many seconds before capturing.", "default": 0 }, "selector": { "title": "Capture Specific Selector", "type": "string", "description": "CSS selector of an element to screenshot or extract HTML from.", "default": "" }, "waitForSelector": { "title": "Wait for Selector", "type": "string", "description": "Wait for this CSS selector before continuing.", "default": "" }, "removeSelectors": { "title": "Remove Elements", "type": "string", "description": "Comma-separated list of selectors to remove before capture.", "default": "" }, "removeCookieBanners": { "title": "Remove Cookie Banners", "type": "boolean", "description": "Hide known cookie consent overlays using filters and scripts.", "default": false }, "imageQuality": { "title": "Image Quality", "minimum": 1, "maximum": 100, "type": "integer", "description": "Only applies to JPEG and WebP formats (1–100).", "default": 80 } } }, "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 Web Screenshot + HTML Extractor Actor from the options below:
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