
Behance Jobs Scraper πΌ
Pricing
$10.00/month + usage

Behance Jobs Scraper πΌ
Scrape Behance job listings in real-time with detailed insights on job titles, companies, locations, and more. Filter by category and country for targeted results. Perfect for recruiters, job seekers, and market analysts. Automate job data collection effortlessly! π
0.0 (0)
Pricing
$10.00/month + usage
0
Total users
4
Monthly users
2
Runs succeeded
>99%
Last modified
2 months ago
You can access the Behance Jobs Scraper πΌ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "8Hphk6leWppgxu7vd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pintxuki~behance-jobs-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pintxuki-behance-jobs-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/pintxuki~behance-jobs-extractor/runs": { "post": { "operationId": "runs-sync-pintxuki-behance-jobs-extractor", "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/pintxuki~behance-jobs-extractor/run-sync": { "post": { "operationId": "run-sync-pintxuki-behance-jobs-extractor", "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": [ "category", "country", "maxItems" ], "properties": { "search": { "title": "π Search", "type": "string", "description": "Enter a keyword to search for specific job titles or skills (e.g., 'logo', 'UI/UX', 'illustrator', 'Airbnb')", "default": "" }, "category": { "title": "π Category", "enum": [ "all", "logo-design", "stationery-design", "fonts-typography", "branding-services", "book-design", "packaging-design", "album-cover-design", "signage-design", "invitation-design", "t-shirt-merchandise", "flyer-brochure-design", "poster-design", "idendity-design", "brand-guidelines", "website-design", "app-design", "ui-ux-design", "landing-page-design", "icon-design", "illustrations" ], "type": "string", "description": "Select a job category to filter results", "default": "all" }, "country": { "title": "π Country", "enum": [ "all", "AX", "AL", "DZ", "AS", "AD", "AO", "AI", "AQ", "AG", "AR", "AM", "AW", "AU", "AT", "AZ", "BS", "BH", "BD", "BB", "BE", "BZ", "BJ", "BM", "BT", "BO", "BQ", "BA", "BW", "BV", "BR", "IO", "BN", "BG", "BF", "KH", "CM", "CA", "CV", "KY", "CL", "CX", "CC", "CO", "KM", "CK", "CR", "HR", "CW", "CY", "CZ", "DK", "DJ", "DM", "DO", "EC", "SV", "EE", "FO", "FJ", "FI", "FR", "GF", "PF", "TF", "GA", "GM", "GE", "DE", "GI", "GR", "GL", "GD", "GP", "GU", "GT", "GG", "GY", "HM", "VA", "HN", "HU", "IS", "IE", "IM", "IL", "IT", "JM", "JP", "JE", "JO", "KZ", "KI", "KW", "LI", "LT", "LU", "MO", "MK", "MG", "MW", "MY", "MV", "MT", "MH", "MQ", "MU", "YT", "MX", "FM", "MC", "MN", "ME", "MS", "NA", "NR", "NP", "NL", "AN", "NC", "NZ", "NU", "NF", "MP", "NO", "OM", "PW", "PA", "PG", "PY", "PE", "PH", "PN", "PL", "PT", "PR", "QA", "RE", "RO", "BL", "SH", "KN", "LC", "MF", "PM", "VC", "WS", "SM", "ST", "SN", "RS", "SC", "SG", "SX", "SK", "SI", "SB", "ZA", "ES", "LK", "SR", "SJ", "SZ", "SE", "CH", "TW", "TH", "TL", "TG", "TK", "TO", "TT", "TN", "TR", "TC", "TV", "UG", "UA", "AE", "GB", "US", "UY", "VU", "VG", "VI", "WF", "ZM", "ZW" ], "type": "string", "description": "Select a country to filter job results", "default": "all" }, "includeFullDescription": { "title": "Include Full Job Description", "type": "boolean", "description": "When enabled, includes detailed job descriptions and additional fields like job_type, work_setting, and business_url in the output. When disabled, only basic job information is extracted, resulting in faster performance.", "default": false }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job items to extract.", "default": 50 }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 }, "nameDataset": { "title": "Name Dataset", "type": "boolean", "description": "Whether to name the dataset.", "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 } } } } } } } } }}
Behance Jobs Scraper πΌ 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 Jobs Scraper πΌ from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: