Job Bank Canada Scraper (jobbank.gc.ca)

The NanoScrape JobBank.gc.ca Scraper is an Apify actor that extracts job listings from jobbank.ca. It returns 69 fields per result including title, location, city, description, company_about, priced at $5/1k result, with no API key or monthly subscription required.

Job Bank Canada (Government, CA): official Canadian federal government job board (source platform). NOC 2021 codes, bilingual flag, hourly wages, vacancy count, and all provinces. Stable government source.

Open on Apify →
Pricing
$5.00 / 1,000 detail result
Runtime
Cloud (Apify)
Proxy
Datacenter (residential fallback when blocked)
Coverage
CA

What you can scrape — 69 fields per result

FieldTypeExampleGroupFill %
_typestringjobCore100%
idstring50568529Core100%
job_bank_idstring50568529Core100%
titlestringsoftware developerCore100%
employer_namestring | nullFarm Credit CanadaCore100%
noc_titlestring | nullsoftware developerCore100%
job_urlstringhttps://www.jobbank.gc.ca/jobsearch/jobposting/50568529Core100%
application_urlstring | nullhttps://www.jobbank.gc.ca/jobsearch/jobposting/50568529Core100%
apply_urlstring | nullhttps://www.agcareers.com/farm-credit-canada/data-analyst-data-solutions--development-j...Core100%
company_profile_urlstring | null(populated when data available)Core—
source_platformstringjobbank.gc.caCore100%
company_logo_urlstring | null(populated when data available)Core—
company_aboutstring | null(populated when data available)Company—
company_phonestring | null(populated when data available)Company—
company_emailstring | null(populated when data available)Company—
company_websitestring | null(populated when data available)Company—
company_address_streetstring | null(populated when data available)Company—
company_address_citystring | null(populated when data available)Company—
company_address_provincestring | null(populated when data available)Company—
company_address_postcodestring | null(populated when data available)Company—
company_address_countrystring | null(populated when data available)Company—
company_business_typestring | null(populated when data available)Company—
company_business_sizestring | null(populated when data available)Company—
company_size_rangestring | null(populated when data available)Company—
company_industry_naicsstring | null(populated when data available)Company—
company_industrystring | null(populated when data available)Company—
company_profile_modified_atstring | null(populated when data available)Company—
company_locations_countinteger | null(populated when data available)Company—
company_active_jobs_countinteger | null(populated when data available)Company—
company_active_jobsarray[]Company—
company_workplace_amenitiesarray[]Company—
company_support_groupsarray[]Company—
company_learning_opportunitiesarray[]Company—
company_green_initiativesarray[]Company—
locationstring | nullRegina, SKLocation100%
citystring | nullReginaLocation100%
postal_codestring | null(populated when data available)Location—
countrystringCALocation100%
descriptionstring | null Location:Regina, SaskatchewanVarious FCC offices may be considered C...Description73%
description_fullstring | null Location:Regina, SaskatchewanVarious FCC offices may be considered C...Description73%
description_htmlstring | null Location:Regina, SaskatchewanVarious FCC offices may be considered&am...Description73%
description_mdstring | null Location:Regina, SaskatchewanVarious FCC offices may be considered C...Description73%
salary_minnumber | null83040Salary100%
salary_maxnumber | null112340Salary60%
salary_currencystring | nullCADSalary100%
salary_periodstring | nullannualSalary93%
salary_textstring | null$83,040 to $112,340YEAR annuallySalary100%
wage_rate_typestring | nullannualSalary93%
hours_per_weeknumber | null(populated when data available)Employment13%
employment_typestring | nullFull timeEmployment100%
employment_conditionsarray[]Employment—
education_requiredstring | null(populated when data available)Requirements—
experience_required_textstring | null(populated when data available)Requirements—
experience_required_yearsnumber | null(populated when data available)Requirements—
job_benefitsstring | null(populated when data available)Requirements—
skillsstring | null(populated when data available)Requirements—
posted_at_textstring | nullOctober 23, 2026Metadata100%
posted_at_datetimestring | null2026-10-23T00:00:00ZMetadata100%
scraped_atstring2026-10-23T21:29:18ZMetadata100%
provincestring | nullSKOther100%
workplace_typestring | null(populated when data available)Other—
vacancy_countinteger | null1Other87%
noc_codestring | null21232Other100%
job_languagestring | null(populated when data available)Other—
work_permits_acceptedstring | null(populated when data available)Other—
responsibilitiesstring | null(populated when data available)Other—
closing_atstring | null(populated when data available)Other80%
search_querystring | nulldeveloper in Toronto, ONOther100%
detail_statusstring | nullokOther100%

Input example — showcase (full detail)

{
  "searchQueries": [
    "developer",
    "nurse",
    "welder"
  ],
  "location": "Toronto, ON",
  "maxResults": 30,
  "maxResultsPerQuery": 10,
  "includeJobDetails": true,
  "includeCompanyDetails": true
}

Output example — real dataset item (PII scrubbed)

{
  "_type": "job",
  "id": "50568529",
  "job_bank_id": "50568529",
  "title": "software developer",
  "employer_name": "Farm Credit Canada",
  "location": "Regina, SK",
  "city": "Regina",
  "province": "SK",
  "postal_code": null,
  "country": "CA",
  "salary_min": 83040,
  "salary_max": 112340,
  "salary_currency": "CAD",
  "salary_period": "annual",
  "salary_text": "$83,040 to $112,340YEAR annually",
  "wage_rate_type": "annual",
  "hours_per_week": null,
  "employment_type": "Full time",
  "workplace_type": null,
  "employment_conditions": [],
  "vacancy_count": 1,
  "noc_code": "21232",
  "noc_title": "software developer",
  "education_required": null,
  "experience_required_text": null,
  "experience_required_years": null,
  "job_language": null,
  "work_permits_accepted": null,
  "description": " Location:Regina, SaskatchewanVarious FCC offices may be considered Closing Date (MM/DD/YYYY):11/05/2026 Worker Type:Permanent Language(s) Required:English Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$83,040 - $112,340 Why FCC?At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team:Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programsPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work options-How you’ll make an impact Help shape the future of data within FCC's Financial Modelling team. Your day-to-day work will be focused on building and improving the data foundations that support forecasting, pricing, corporate planning and advanced analytics across the organization.  In this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare data so it can be used reliably by analysts, data scientists and business teams.  You'll work closely with modelers, data scientists, business experts and technical partners to understand data needs, develop solutions and improve how data is collected, managed and delivered. Your work will directly support better forecasting, planning and decision-making by ensuring teams have access to accurate, trusted and actionable data.  As the team continues to expand its data engineering capabilities, you'll have the opportunity to help support the adoption of modern data development approaches. You'll join a collaborative team that is evolving beyond traditional analytics and investing in the tools, processes and skills needed to build scalable data solutions for the future.  What you’ll do Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making  Design, build and maintain scalable data solutions, repositories and automated analytics processes  Build reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams Develop scalable ETL solutions while improving data performance, monitoring and governance practices Develop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies  Scrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance  Analyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets  Collaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions  Monitor and improve data quality, governance and reporting processes to ensure data integrity and consistency  Automate manual processes and enhance existing analytics solutions to improve efficiency and user experience  Document technical specifications, development standards and business processes to support sustainable solutions  Research and evalu",
  "description_full": " Location:Regina, SaskatchewanVarious FCC offices may be considered Closing Date (MM/DD/YYYY):11/05/2026 Worker Type:Permanent Language(s) Required:English Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$83,040 - $112,340 Why FCC?At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team:Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programsPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work options-How you’ll make an impact Help shape the future of data within FCC's Financial Modelling team. Your day-to-day work will be focused on building and improving the data foundations that support forecasting, pricing, corporate planning and advanced analytics across the organization.  In this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare data so it can be used reliably by analysts, data scientists and business teams.  You'll work closely with modelers, data scientists, business experts and technical partners to understand data needs, develop solutions and improve how data is collected, managed and delivered. Your work will directly support better forecasting, planning and decision-making by ensuring teams have access to accurate, trusted and actionable data.  As the team continues to expand its data engineering capabilities, you'll have the opportunity to help support the adoption of modern data development approaches. You'll join a collaborative team that is evolving beyond traditional analytics and investing in the tools, processes and skills needed to build scalable data solutions for the future.  What you’ll do Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making  Design, build and maintain scalable data solutions, repositories and automated analytics processes  Build reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams Develop scalable ETL solutions while improving data performance, monitoring and governance practices Develop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies  Scrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance  Analyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets  Collaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions  Monitor and improve data quality, governance and reporting processes to ensure data integrity and consistency  Automate manual processes and enhance existing analytics solutions to improve efficiency and user experience  Document technical specifications, development standards and business processes to support sustainable solutions  Research and evalu",
  "description_html": " Location:Regina, SaskatchewanVarious FCC offices may be considered Closing Date (MM/DD/YYYY):11/05/2026 Worker Type:Permanent Language(s) Required:English Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$83,040 - $112,340 Why FCC?At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team:Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programsPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work options-How you’ll make an impact Help shape the future of data within FCC's Financial Modelling team. Your day-to-day work will be focused on building and improving the data foundations that support forecasting, pricing, corporate planning and advanced analytics across the organization.  In this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare data so it can be used reliably by analysts, data scientists and business teams.  You'll work closely with modelers, data scientists, business experts and technical partners to understand data needs, develop solutions and improve how data is collected, managed and delivered. Your work will directly support better forecasting, planning and decision-making by ensuring teams have access to accurate, trusted and actionable data.  As the team continues to expand its data engineering capabilities, you'll have the opportunity to help support the adoption of modern data development approaches. You'll join a collaborative team that is evolving beyond traditional analytics and investing in the tools, processes and skills needed to build scalable data solutions for the future.  What you’ll do Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making  Design, build and maintain scalable data solutions, repositories and automated analytics processes  Build reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams Develop scalable ETL solutions while improving data performance, monitoring and governance practices Develop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies  Scrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance  Analyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets  Collaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions  Monitor and improve data quality, governance and reporting processes to ensure data integrity and consistency  Automate manual processes and enhance existing analytics solutions to improve efficiency and user experience  Document technical specifications, development standards and business processes to support sustainable solutions  Research and evalu",
  "description_md": " Location:Regina, SaskatchewanVarious FCC offices may be considered Closing Date (MM/DD/YYYY):11/05/2026 Worker Type:Permanent Language(s) Required:English Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$83,040 - $112,340 Why FCC?At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide. Here’s what you can expect when you join our team:Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programsPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work options-How you’ll make an impact Help shape the future of data within FCC's Financial Modelling team. Your day-to-day work will be focused on building and improving the data foundations that support forecasting, pricing, corporate planning and advanced analytics across the organization.  In this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare data so it can be used reliably by analysts, data scientists and business teams.  You'll work closely with modelers, data scientists, business experts and technical partners to understand data needs, develop solutions and improve how data is collected, managed and delivered. Your work will directly support better forecasting, planning and decision-making by ensuring teams have access to accurate, trusted and actionable data.  As the team continues to expand its data engineering capabilities, you'll have the opportunity to help support the adoption of modern data development approaches. You'll join a collaborative team that is evolving beyond traditional analytics and investing in the tools, processes and skills needed to build scalable data solutions for the future.  What you’ll do Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making  Design, build and maintain scalable data solutions, repositories and automated analytics processes  Build reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams Develop scalable ETL solutions while improving data performance, monitoring and governance practices Develop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies  Scrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance  Analyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets  Collaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions  Monitor and improve data quality, governance and reporting processes to ensure data integrity and consistency  Automate manual processes and enhance existing analytics solutions to improve efficiency and user experience  Document technical specifications, development standards and business processes to support sustainable solutions  Research and evalu",
  "responsibilities": null,
  "job_benefits": null,
  "skills": null,
  "posted_at_text": "October 23, 2026",
  "posted_at_datetime": "2026-10-23T00:00:00Z",
  "closing_at": null,
  "job_url": "https://www.jobbank.gc.ca/jobsearch/jobposting/50568529",
  "application_url": "https://www.jobbank.gc.ca/jobsearch/jobposting/50568529",
  "apply_url": "https://www.agcareers.com/farm-credit-canada/data-analyst-data-solutions--development-job-1048436.cfm",
  "company_profile_url": null,
  "source_platform": "jobbank.gc.ca",
  "search_query": "developer in Toronto, ON",
  "scraped_at": "2026-10-23T21:29:18Z",
  "company_about": null,
  "company_phone": null,
  "company_email": null,
  "company_website": null,
  "company_address_street": null,
  "company_address_city": null,
  "company_address_province": null,
  "company_address_postcode": null,
  "company_address_country": null,
  "company_business_type": null,
  "company_business_size": null,
  "company_size_range": null,
  "company_industry_naics": null,
  "company_industry": null,
  "company_profile_modified_at": null,
  "company_locations_count": null,
  "company_logo_url": null,
  "company_active_jobs_count": null,
  "company_active_jobs": [],
  "company_workplace_amenities": [],
  "company_support_groups": [],
  "company_learning_opportunities": [],
  "company_green_initiatives": [],
  "detail_status": "ok"
}

Cost math

Priced at $0.0050 per detail result. 10 detail results ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Who should use this

Related tutorials

Integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run jobbank-ca-scraper in your browser - no code, no install. In the Apify console you get:

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

  1. Sign up for a free Apify account (Google, GitHub, or email).
  2. Go to Settings → Integrations → API tokens.
  3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~jobbank-ca-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'
// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/jobbank-ca-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/jobbank-ca-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)
// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/jobbank-ca-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();
// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/jobbank-ca-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/jobbank-ca-scraper

Example prompt once connected:

"Use <code>jobbank-ca-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/jobbank-ca-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~jobbank-ca-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~jobbank-ca-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~jobbank-ca-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~jobbank-ca-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the jobbank-ca-scraper cost?

$5.00 / 1,000 detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

69 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP with datacenter proxies, switching to residential proxies only when a request is blocked. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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