Upwork Jobs Scraper
Pricing
from $0.28 / 1,000 results
Upwork Jobs Scraper
$0.4/1K jobs ๐ Scrape targeted Upwork job listings with advanced filters for skills, budgets, clients, and project requirements. ๐
Upwork Jobs Scraper
Pricing
from $0.28 / 1,000 results
$0.4/1K jobs ๐ Scrape targeted Upwork job listings with advanced filters for skills, budgets, clients, and project requirements. ๐
You can access the Upwork Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
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the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/valig~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-valig-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Job title", "type": "string", "description": "Keywords to search in job titles and descriptions" }, "sort": { "title": "Sort by", "enum": [ "relevance", "recency" ], "type": "string", "description": "Sort search results by relevance or recency", "default": "relevance" }, "category2_uid": { "title": "Category", "type": "array", "description": "Select one or more categories", "items": { "type": "string", "enum": [ "531770282584862721", "531770282580668416", "531770282580668417", "531770282580668420", "531770282580668421", "531770282584862722", "531770282580668419", "531770282584862723", "531770282580668422", "531770282584862720", "531770282580668418", "531770282580668423" ], "enumTitles": [ "Accounting & Consulting", "Admin Support", "Customer Service", "Data Science & Analytics", "Design & Creative", "Engineering & Architecture", "IT & Networking", "Legal", "Sales & Marketing", "Translation", "Web, Mobile & Software Dev", "Writing" ] } }, "subcategory2_uid": { "title": "Subcategory UID", "type": "array", "description": "Select one or more subcategories", "items": { "type": "string" } }, "contractor_tier": { "title": "Experience level", "type": "array", "description": "Select one or more experience levels", "items": { "type": "string", "enum": [ "1", "2", "3" ], "enumTitles": [ "Entry Level", "Intermediate", "Expert" ] } }, "t": { "title": "Job type", "type": "array", "description": "Select one or more job types", "items": { "type": "string", "enum": [ "0", "1" ], "enumTitles": [ "Hourly", "Fixed-Price" ] } }, "client_hires": { "title": "Client history", "type": "array", "description": "Select one or more client hire histories", "items": { "type": "string", "enum": [ "0", "1-9", "10-" ], "enumTitles": [ "No hires", "1 to 9 hires", "10+ hires" ] } }, "location": { "title": "Client location", "type": "array", "description": "Select one or more client locations", "items": { "type": "string" } }, "timezone": { "title": "Client time zones", "type": "array", "description": "Select one or more client time zones", "items": { "type": "string" } }, "duration_v3": { "title": "Project length", "type": "array", "description": "Select one or more project lengths", "items": { "type": "string", "enum": [ "week", "month", "semester", "ongoing" ], "enumTitles": [ "Less than one month", "1 to 3 months", "3 to 6 months", "More than 6 months" ] } }, "workload": { "title": "Hours per week", "type": "array", "description": "Select how many hours per week you want to work on the project", "items": { "type": "string", "enum": [ "as_needed", "full_time" ], "enumTitles": [ "Less than 30 hrs/week", "More than 30 hrs/week" ] } }, "contract_to_hire": { "title": "Contract-to-hire roles", "type": "boolean", "description": "Show only contract-to-hire roles" }, "limit": { "title": "Results limit", "minimum": 1, "type": "integer", "description": "Maximum results count", "default": 100 } } }, "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 }, 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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 } } } } } } } } }}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 Upwork Jobs Scraper from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
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