Behance Profile Scraper avatar
Behance Profile Scraper

Deprecated

Pricing

$30.00/month + usage

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Behance Profile Scraper

Behance Profile Scraper

Deprecated

Developed by

V Hzrok

V Hzrok

Maintained by Community

Behance Profile Scraper allows you to extract data from hundreds of profiles in a short time. Add URLs and get full profile info, works, appreciations, moodboards, services, NFTs, and much more. Go beyond the limitations of the unofficial Behance API. Download data in various structured formats.

0.0 (0)

Pricing

$30.00/month + usage

2

Total users

5

Monthly users

2

Last modified

a year ago

You can access the Behance Profile 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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"paths": {
"/acts/babak~behance-profile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-babak-behance-profile-scraper",
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"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
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"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"profileUrl": {
"title": "Profile Url",
"pattern": "^(https?:\\/\\/)?(www\\.)?behance\\.net\\/[\\w-]+$",
"minLength": 1,
"maxLength": 1000,
"type": "string",
"description": "Behance profile URL"
},
"userName": {
"title": "User name",
"type": "string",
"description": "Behance profile username"
},
"profileURLsArray": {
"title": "Profile URLs Array",
"uniqueItems": true,
"type": "array",
"description": "Profile URLs Array"
},
"listFileURLs": {
"title": "List of URLs",
"type": "array",
"description": "List of URLs",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"listOfUserNames": {
"title": "List of usernames",
"type": "array",
"description": "List of Behance profile usernames"
},
"listFileUserNames": {
"title": "List of usernames",
"type": "array",
"description": "List of usernames",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"includeUserInfo": {
"title": "User info",
"type": "boolean",
"description": "Should User info (username, avatar, location, etc.) be scraped?",
"default": true
},
"includeAvailability": {
"title": "Availability information",
"type": "boolean",
"description": "Should Availability info be scraped?",
"default": true
},
"includeSubscription": {
"title": "Premium Subscriptions",
"type": "boolean",
"description": "Should Subscriptions info be scraped?",
"default": true
},
"includeProfileInfo": {
"title": "Profile Info",
"type": "boolean",
"description": "Should Profile Info (stats, soc links, bio, etc.) be scraped?",
"default": true
},
"includeWorks": {
"title": "Works",
"type": "boolean",
"description": "Should Works section be scraped?",
"default": true
},
"worksMaxItems": {
"title": "Works maximum limit",
"maximum": 9999,
"type": "integer",
"description": "How many works should be scraped?",
"default": 2
},
"includeWorkDetails": {
"title": "Work Details",
"type": "boolean",
"description": "Should work details data (comments, tags, owners, etc.) be scraped?",
"default": true
},
"includeWorkComments": {
"title": "Work Comments",
"type": "boolean",
"description": "Should comments in work details page be scraped",
"default": true
},
"workCommentsLimit": {
"title": "Comments maximum limit",
"type": "integer",
"description": "How many comments in work details should be scraped?",
"default": 5
},
"includeMoodBoards": {
"title": "Moodboards",
"type": "boolean",
"description": "Should Moodboards section be scraped?",
"default": true
},
"moodboardsMaximumLimit": {
"title": "Moodboards maximum limit",
"type": "integer",
"description": "How many Moodboards should be scraped?",
"default": 2
},
"includeAppreciations": {
"title": "Appreciations",
"type": "boolean",
"description": "Should Appreciations be scraped?",
"default": true
},
"appreciationsMaximumLimit": {
"title": "Appreciations maximum limit",
"type": "integer",
"description": "How many Appreciations should be scraped?",
"default": 2
},
"includeServices": {
"title": "Services",
"type": "boolean",
"description": "Should Services be scraped?",
"default": true
},
"servicesMaximumLimit": {
"title": "Services maximum limit",
"type": "integer",
"description": "How many Services should be scraped?",
"default": 2
},
"includeNfts": {
"title": "NFTs",
"type": "boolean",
"description": "Should NFTs Section be scraped?",
"default": true
},
"includeNftDetails": {
"title": "Include Nfts Details",
"type": "boolean",
"description": "Should Nfts Details (contracts, tokens, etc.) be scraped?",
"default": true
},
"nftsMaximumLimit": {
"title": "NFTs Maximum Limit",
"type": "integer",
"description": "How many NFTs should be scraped?",
"default": 2
},
"maxConcurrency": {
"title": "Max Concurrency",
"minimum": 1,
"type": "integer",
"description": "Defines how many profiles can be processed by the scraper in parallel. The scraper automatically increases and decreases concurrency based on available system resources. Use this option to set a hard limit.",
"default": 100
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Use Apify Proxy or your custom Proxy.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}

Behance Profile 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 Behance Profile 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: