OK.ru Video Scraper 🟠🎥 avatar
OK.ru Video Scraper 🟠🎥

Pricing

$18.99/month + usage

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OK.ru Video Scraper 🟠🎥

OK.ru Video Scraper 🟠🎥

Developed by

Storm_Scraper

Storm_Scraper

Maintained by Community

Scrape OK.ru videos using a keyword 🔑 to discover relevant content. Collect valuable data like video titles 🎥 views 👀 likes 👍 duration ⏱️ & upload time 📅 Improve your content research with real OK video data 🚀 Great for trend analysis, marketing insights, and reaching the OK.ru video audience

5.0 (1)

Pricing

$18.99/month + usage

1

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

4 days ago

You can access the OK.ru Video Scraper 🟠🎥 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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"x-build-id": "pE8yIHpeKuC2KAMWD"
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"servers": [
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],
"paths": {
"/acts/scrapestorm~ok-ru-video-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapestorm-ok-ru-video-scraper",
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"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
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"parameters": [
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"description": "Enter your Apify token here"
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"responses": {
"200": {
"description": "OK"
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"/acts/scrapestorm~ok-ru-video-scraper/runs": {
"post": {
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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",
"required": [
"keyword"
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"properties": {
"keyword": {
"title": "keyword to scrape OK.ru Videos with #️⃣",
"type": "string",
"description": "keyword to scrape OK.ru Videos with #️⃣",
"default": "Fitness"
},
"maxitems": {
"title": "Maximum number of Videos to scrape from OK.ru 📊",
"type": "integer",
"description": "Maximum number of Videos to scrape from OK.ru 📊",
"default": 80
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
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"properties": {
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"userId": {
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"startedAt": {
"type": "string",
"format": "date-time",
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},
"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
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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": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"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": {
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"type": "integer",
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"DATASET_READS": {
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"DATASET_WRITES": {
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"KEY_VALUE_STORE_READS": {
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"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
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"example": 0
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"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": {
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"type": "integer",
"example": 0
},
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"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
},
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"type": "integer",
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"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}

OK.ru Video Scraper 🟠🎥 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 OK.ru Video Scraper 🟠🎥 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: