{ "openapi": "3.0.1", "info": { "title": "FlexJobs Scraper", "description": "πŸ’« Scrape Flexjobs.com", "version": "0.1", "x-build-id": "eyPpIgtqg9SC8t2xP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~flexjobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-flexjobs-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jupri~flexjobs-scraper/runs": { "post": { "operationId": "runs-sync-jupri-flexjobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jupri~flexjobs-scraper/run-sync": { "post": { "operationId": "run-sync-jupri-flexjobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "query": { "title": "❓ Query", "type": "array", "description": "πŸ’‘ Search KEYWORD or URL", "items": { "type": "string" } }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "πŸ’‘ Number of results" }, "location": { "title": "🧭 Location", "type": "array", "description": "", "items": { "type": "string" } }, "anywhere_in_us": { "title": "Anywhere in U.S.", "type": "boolean", "description": "" }, "anywhere_in_world": { "title": "Anywhere in world", "type": "boolean", "description": "" }, "category": { "title": "Categories", "type": "array", "description": "", "items": { "type": "string", "enum": [ "52", "85", "1", "121", "122", "110", "2", "86", "28", "57", "3", "58", "131", "5", "59", "37", "111", "55", "96", "61", "112", "113", "114", "60", "8", "4", "62", "136", "10", "11", "137", "138", "140", "91", "139", "63", "12", "106", "105", "104", "103", "14", "15", "53", "64", "17", "68", "67", "141", "66", "65", "18", "6", "115", "143", "97", "20", "21", "87", "24", "42", "144", "145", "146", "16", "116", "117", "118", "119", "29", "95", "147", "123", "30", "149", "150", "148", "56", "32", "70", "88", "33", "132", "49", "71", "109", "151", "26", "98", "126", "152", "153", "155", "156", "154", "125", "157", "128", "72", "127", "158", "73", "124", "40", "51", "100", "99", "34", "75", "133", "168", "39", "41", "101", "120", "13", "43", "76", "77", "129", "78", "79", "161", "36", "163", "38", "107", "167", "90", "92", "165", "166", "108", "50", "164", "44", "22", "45", "25", "47", "48", "82", "83", "84", "94", "130", "134" ], "enumTitles": [ "πŸ“‚ Account Management", "-- Client Services", "πŸ“‚ Accounting & Finance", "-- Auditing", "-- Banking", "-- Bookkeeping", "πŸ“‚ Administrative", "-- Appointment Setting", "-- Collections", "-- Virtual Admin", "πŸ“‚ Advertising & PR", "-- Online Advertising", "πŸ“‚ Animals & Wildlife", "πŸ“‚ Art & Creative", "-- Music", "-- Photography", "-- Theater", "πŸ“‚ Bilingual", "-- Chinese", "-- French", "-- German", "-- Japanese", "-- Portuguese", "-- Spanish", "πŸ“‚ Business Development", "πŸ“‚ Call Center", "-- Inbound Call", "-- Outbound Call", "πŸ“‚ Communications", "πŸ“‚ Computer & IT", "-- Computer Security", "-- Database Administration", "-- Networking", "-- SQL", "-- System Administration", "-- Technical Support", "πŸ“‚ Consulting", "-- Business Consultant", "-- Education Consultant", "-- Healthcare Consultant", "-- IT Consulting", "πŸ“‚ Customer Service", "πŸ“‚ Data Entry", "πŸ“‚ Editing", "-- Proofreading", "πŸ“‚ Education & Training", "-- College & University", "-- K-12", "-- Online Teaching", "-- Teaching", "-- Tutoring", "πŸ“‚ Engineering", "πŸ“‚ Entertainment & Media", "-- Film", "-- Gaming", "-- Video", "πŸ“‚ Environmental & Green", "πŸ“‚ Event Planning", "πŸ“‚ Fashion & Beauty", "πŸ“‚ Food & Beverage", "πŸ“‚ Government & Politics", "-- Federal Government", "-- Military", "-- State & Local Government", "πŸ“‚ Graphic Design", "-- Digital Design", "-- Interactive Design", "-- Print Design", "-- Visual Design", "πŸ“‚ HR & Recruiting", "πŸ“‚ Human Services", "-- Community", "-- Social Work", "πŸ“‚ Insurance", "-- Insurance Claims", "-- Risk Management", "-- Underwriting", "πŸ“‚ International", "πŸ“‚ Internet & Ecommerce", "-- SEO & SEM", "-- Social Media", "πŸ“‚ Legal", "πŸ“‚ Manufacturing", "πŸ“‚ Marketing", "-- Online Marketing", "πŸ“‚ Math & Economics", "-- Statistics", "πŸ“‚ Medical & Health", "-- Case Management", "-- Dental", "-- Doctor & Practitioner", "-- Health Administration", "-- Imaging", "-- Lab & Technology", "-- Medical Billing", "-- Medical Coding", "-- Medical Research", "-- Mental Health", "-- Nursing", "-- Nutrition", "-- Pediatric", "-- Pharmaceutical", "-- Therapy", "πŸ“‚ Mortgage & Real Estate", "πŸ“‚ News & Journalism", "-- Publishing", "-- Reporter", "πŸ“‚ Nonprofit & Philanthropy", "-- Fundraising", "πŸ“‚ Operations", "πŸ“‚ Product", "πŸ“‚ Project Management", "πŸ“‚ Research", "-- Analyst", "-- Library", "πŸ“‚ Retail", "πŸ“‚ Sales", "-- Business-to-Business (B2B)", "-- Business-to-Consumer (B2C)", "-- Insurance Sales", "-- Medical Sales", "-- Sales Representative", "-- Software Sales", "πŸ“‚ Science", "-- Chemistry", "πŸ“‚ Software Development", "-- .NET", "-- iOS", "-- Java & Android", "-- PHP", "-- Python", "-- QA & Testing", "-- Ruby on Rails", "πŸ“‚ Sports & Fitness", "-- Coaching", "πŸ“‚ Telemarketing", "πŸ“‚ Transcription", "πŸ“‚ Translation", "πŸ“‚ Travel & Hospitality", "πŸ“‚ Web Design", "πŸ“‚ Writing", "-- Blogging", "-- Copywriting", "-- Grant Writing", "-- Online Content", "-- Technical Writing", "πŸ“‚ Youth & Children" ] } }, "remote": { "title": "Remote", "type": "array", "description": "", "items": { "type": "string", "enum": [ "remote", "hybrid", "option", "no" ], "enumTitles": [ "100% Remote Work", "Hybrid Remote Work", "Option for Remote Work", "No Remote Work" ] } }, "types": { "title": "Types", "type": "array", "description": "", "items": { "type": "string", "enum": [ "employee", "freelance", "temporary" ], "enumTitles": [ "Employee", "Freelance", "Temporary" ] } }, "schedule": { "title": "Schedules", "type": "array", "description": "", "items": { "type": "string", "enum": [ "full", "part", "flex", "alt" ], "enumTitles": [ "Full-Time", "Part-Time", "Flexible Schedule", "Alternative Schedule" ] } }, "level": { "title": "Levels", "type": "array", "description": "", "items": { "type": "string", "enum": [ "entry", "experienced", "manager", "senior" ], "enumTitles": [ "Entry-Level", "Experienced", "Manager", "Senior Level Manager" ] } }, "education": { "title": "Educations", "type": "array", "description": "", "items": { "type": "string", "enum": [ "no", "college", "technical", "bachelor", "master", "doctor", "license", "certification" ], "enumTitles": [ "No Education Specified", "Associate's Degree or Some College", "Technical Degree", "Bachelor's/Undergraduate Degree", "Master's Degree", "Doctorate Degree", "Professional License", "Professional Certification" ] } }, "travel": { "title": "Travels", "type": "array", "description": "", "items": { "type": "string", "enum": [ "no", "yes", "unknown" ], "enumTitles": [ "No", "Yes", "No specification" ] } }, "accolade": { "title": "Accolades", "type": "array", "description": "", "items": { "type": "string", "enum": [ "100 Best Corporate Citizen", "50 Best Companies for Latinas", "50 Best Nonprofits To Work For", "All Award-Winning Employers", "America’s 100 Best Adoption-Friendly Workplaces", "Barrons 400", "Best Employers for Healthy Lifestyles", "Black Enterprise - 40 Best Companies for Diversity", "CareerBliss 50 Happiest Companies in America", "ComputerWorld - Best Places to Work in IT", "Diversity 50", "Diversity-Friendly", "Entrepreneur's Best Small and Medium Workplaces", "Environmental/Green", "Equal Opportunity Top 50 Employers", "Family-Friendly", "Fast Company - Most Innovative Company", "Fast Growing", "Featured Employers", "Flex-Friendly Cultures", "FlexJobs Top 100 Remote", "Forbes - World's Most Reputable Companies", "Forbes 2000", "Forbes Most Valuable Brands", "Forbes World's Most Innovative Companies", "Fortune 100", "Fortune 500", "Fortune's Most Admired Companies", "Glassdoor Employees Choice - Best Place to Work", "Great Places to Work Awards", "Harris Reputation Quotient Survey", "Healthy Lifestyle Cultures", "Human Rights Campaign Best Places to Work", "Inc 500", "Military-Friendly", "Minneapolis Star Trib Top Workplaces", "Most Ethical Companies", "NYSE100", "Other Awards or Accolades", "Outside 50", "Progressive", "Public Companies", "Red100", "Remote-Friendly Cultures", "S&P 500", "Top 100 Ideal Employers", "Training Magazine - Top 125", "Trusted Reputation Awards", "Women-Friendly", "WorldBlu Most Democratic Workplaces" ] } }, "titles": { "title": "Titles", "type": "array", "description": "", "items": { "type": "string" } }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "πŸ’‘ Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000" }, "dev_custom_headers": { "title": "πŸ“œ HTTP HEADERS", "type": "array", "description": "πŸ’‘ Additional HTTP Headers", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_custom_cookies": { "title": "🍰 HTTP COOKIES", "type": "array", "description": "πŸ’‘ Additional HTTP Cookies", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_transform_fields": { "title": "♻️ CUSTOM FIELD", "type": "array", "description": "πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_dataset_name": { "title": "πŸ“ CUSTOM STORAGE", "type": "string", "description": "πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME}" }, "dev_dataset_clear": { "title": "Clear Storage", "type": "boolean", "description": "Clear Dataset before insert/update." }, "dev_no_strip": { "title": "Disable data cleansing", "type": "boolean", "description": "πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" } } }, "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 } } } } } } } } } }