# Jora Jobs Scraper 🎯 (`easyapi/jora-jobs-scraper`) Actor 🎯 Extract job listings from Jora.com with comprehensive details including job titles, companies, locations, and descriptions. Perfect for job market analysis, recruitment research, and tracking employment opportunities. - **URL**: https://apify.com/easyapi/jora-jobs-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Jobs, Integrations, Other - **Stats:** 32 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Jora Jobs Scraper 🎯 Extract detailed job listings from Jora.com with this powerful scraper. Get comprehensive job data including titles, companies, locations, badges, and job descriptions. Perfect for recruitment analysis, market research, and monitoring job market trends. ### Features ✨ - πŸ” Search-based scraping with custom keywords and filters - πŸ“Š Extract detailed job information including titles, companies, and locations - 🏷️ Capture job badges and employment types - πŸ“… Get posting dates and job abstracts - πŸ”„ Automatic pagination handling - ⚑ High-performance with built-in request optimization - πŸ›‘οΈ Proxy support for reliable data collection ### Output Data πŸ“‹ - Job Title - Company Name - Job Location - Job URL - Location URL - Job Badges (e.g., "New", "Permanent") - Job Abstract/Description - Posted Date - Original Search URL ### Use Cases πŸ’‘ - Job Market Analysis - Recruitment Research - Salary Benchmarking - Employment Trend Monitoring - Career Opportunity Tracking - HR Analytics - Market Intelligence #### Input Example A full explanation of an input example in JSON. ```json { "searchUrls": [ "https://ca.jora.com/j?disallow=true&jt=6&l=&q=Data+Analyst&sp=facet_job_type" ], "maxItems": 20 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "searchUrl": "https://ca.jora.com/j?disallow=true&jt=6&l=&q=Data+Analyst&sp=facet_job_type", "jobUrl": "https://ca.jora.com/job/Data-Analyst-44928c6a56099ebc52303a521dce5e86?abstract_type=original&disallow=true&fsv=true&sfjt=6&sl=&sol_key=b72bc96d7f0b6b7e61d0c2f68eafe216&sp=sserp_top&sponsored=true&sq=Data+Analyst&sr=1&tk=PMLi9C9dRgfqvekkSeId-siGTGJW4kbhwFGV3WXKQ&trigger_source=serp", "jobTitle": "Data AnalystData Analyst", "jobCompany": "LatentView Analytics", "jobLocation": "Toronto, Ontario", "jobLocationUrl": "https://ca.jora.com/jobs-in-Toronto-Ontario?sp=sserp_top_job_location", "jobBadge": [ "New to you", "Permanent" ], "jobAbstract": "LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital...", "jobListedDate": "Posted 1d ago" }, ... ] ``` ### Related Actors 🀝 - 🎯 [Indeed Jobs Scraper](https://apify.com/easyapi/indeed-jobs-scraper) - Extract detailed job listings from Indeed.com - 🎯 [Naukri Jobs Scraper](https://apify.com/easyapi/naukri-jobs-scraper) - Comprehensive job data extraction from Naukri.com - 🎯 [Dice.com Job Scraper](https://apify.com/easyapi/dice-com-job-scraper) - Unlock tech job market data from Dice.com - 🎯 [Upwork Jobs Scraper](https://apify.com/easyapi/upwork-jobs-scraper) - Extract detailed job listings from Upwork - 🎯 [Naukrigulf Jobs Scraper](https://apify.com/easyapi/naukrigulf-jobs-scraper) - Extract job listings from Naukrigulf.com - 🎯 [Shine.com Jobs Scraper](https://apify.com/easyapi/shine-com-jobs-scraper) - Extract detailed job listings from Shine.com - 🎯 [FlexJobs Job Search Scraper](https://apify.com/easyapi/flexjobs-job-search-scraper) - Extract job listings from FlexJobs.com - 🎯 [BuiltIn Jobs Scraper](https://apify.com/easyapi/builtin-jobs-scraper) - Extract job listings from BuiltIn.com - 🎯 [Jungle Job Scraper](https://apify.com/easyapi/jungle-job-scraper) - Extract jobs from Welcome to the Jungle - 🎯 [InfoJobs Job Scraper](https://apify.com/easyapi/infojobs-job-scraper) - Extract jobs from InfoJobs Spain - 🎯 [JobStreet Job Scraper](https://apify.com/easyapi/jobstreet-job-scraper) - Extract jobs from JobStreet - 🎯 [TotalJobs Scraper](https://apify.com/easyapi/totaljobs-scraper) - Extract jobs from TotalJobs.com - 🎯 [Seek Job Scraper](https://apify.com/easyapi/seek-job-scraper) - Extract jobs from Seek.com - 🎯 [PracticeLink Job Scraper](https://apify.com/easyapi/practicelink-job-scraper) - Extract healthcare jobs from PracticeLink - 🎯 [Foundit Jobs Scraper](https://apify.com/easyapi/foundit-jobs-scraper) - Extract jobs from Foundit.in # Actor input Schema ## `searchUrls` (type: `array`): List of Jora.com search result URLs to scrape ## `maxItems` (type: `integer`): Maximum number of job listings to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for making requests ## Actor input object example ```json { "searchUrls": [ "https://ca.jora.com/j?disallow=true&jt=6&l=&q=Data+Analyst&sp=facet_job_type" ], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/jora-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/jora-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/jora-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/jora-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jora Jobs Scraper 🎯", "description": "🎯 Extract job listings from Jora.com with comprehensive details including job titles, companies, locations, and descriptions. Perfect for job market analysis, recruitment research, and tracking employment opportunities.", "version": "0.0", "x-build-id": "ark0ut2TqBrq8UbSX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~jora-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-jora-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~jora-jobs-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-jora-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~jora-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-jora-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "uniqueItems": true, "type": "array", "description": "List of Jora.com search result URLs to scrape", "default": [ "https://ca.jora.com/j?disallow=true&jt=6&l=&q=Data+Analyst&sp=facet_job_type" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to scrape", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for making requests", "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 } } } } } } } } } } ```