North America Jobs Scraper · USA & Canada, 6 Boards, One Schema

Extract job postings from 6 major US and Canadian job boards in a single run — Job Bank (the Government of Canada's official board), The Muse, Built In, Dice, Wellfound and Hacker News "Who is Hiring" — mapped to one unified schema, deduplicated across sources. No login, no browser to configure.

What you can do with it

• Search US and Canadian jobs across tech, startups and government postings in one run, instead of buying and maintaining 6 separate scrapers.
• Filter once, everywhere: keywords, location and countries apply the same way across all 6 sources.
• Compare pay across boards: every record shares the same salaryMin/salaryMax and employmentType fields, whichever site it came from.
• Monitor new postings daily: schedule it with onlyNew checked and publishedWithinDays: 1 to get, and pay for, only what is new since the last run.

Input

Field	What it does
keywords	Job title, skill or trade, for example backend engineer. Empty means every posting.
location	City, province or state, used only by the sources that support it; ignored by the others.
remote	Keep only postings matching this work mode: any, remote, hybrid or onsite. Best effort, based on whatever the source itself publishes.
countries	Keep only postings in these countries: US, CA, or both (default). Best effort, based on whatever location the source itself publishes.
sources	Which of the 6 job boards to query in this run. Defaults to all 6.
publishedWithinDays	Keep only postings published in the last N days. Use 1 for a daily monitoring run.
maxItems	The run stops once this many postings are saved, across all sources combined (default 50).
includeDescriptions	Add the job description as plain text (off by default, for a fast run).
onlyNew	For scheduled runs: skip postings an earlier run of this same search already delivered.

Output

One record per posting, in the schema shared by every job actor on this account:

Field	Type	Meaning
id	string	Stable identifier (<source>:<native id>), used to deduplicate between runs.
url	string	Public page of the posting.
title	string	Job title as published.
companyName	string or null	Employer name; null when hidden (then confidentialCompany: true).
companyUrl	string or null	Company page on the source site, when it exists.
locationLabel	string or null	Location as displayed by the site.
city / region / postalCode	string or null	Finer location breakdown, when the site publishes one.
country	string or null	US or CA. Job Bank is always CA; the other sources are matched against the location they publish, defaulting to US when nothing points elsewhere. Hacker News listings are free text with no reliable location convention, so an unresolved one stays null rather than being guessed.
remote	string	remote, hybrid, onsite or unknown.
employmentType	string	full_time, part_time, contract, freelance, internship, apprenticeship, temporary or unknown.
salaryMin / salaryMax	number or null	Salary range, as numbers.
salaryCurrency	string or null	ISO 4217 currency code.
salaryPeriod	string or null	hour, day, month or year.
datePosted	string or null	Publication date, ISO 8601.
validThrough	string or null	Expiry date, ISO 8601.
description	string or null	Plain-text description, only when includeDescriptions is on. No personal data.
experienceLevel	string or null	As named by the site.
industry	string or null	As named by the site.
skills	string[]	Skills listed by the site, if any.
source	string	Host name of the source site.
sourceId	string	Native identifier on the source site.
scrapedAt	string	Extraction timestamp, ISO 8601.

Site-specific fields are kept in addition to these (never in place of them) — for example Wellfound's compensation free text, or Dice's remoteOnly flag.

Why this one

The only Apify actor that puts Canada's official Job Bank in the same schema as US tech boards (The Muse, Built In, Dice, Wellfound) and Hacker News's "Who is hiring?" threads — one run, one schema, deduplicated between sources. country on every row to split US from Canada without guessing. No connection, no login, no browser to configure, no recruiter e-mail ever included.

Good to know

• country is a best-effort filter for the 5 sources that are not single-country by construction: an unclear location is kept rather than dropped, only a clear signal (a Canadian province, city, or a place clearly outside North America) decides.
• employmentType is read from each site's own field when it has one; when a source carries none, it is inferred from the title and description, and left unknown rather than guessed when nothing matches.
• Hacker News "Who is hiring?" postings are free text with no enforced format: companyName and fine-grained location are left null rather than force-split from a headline that was never meant to be parsed.
• Every result is deduplicated across all 6 sources before it is counted or charged.
• No personal data: contact details of individuals are stripped from descriptions; only companies are named.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $1.20 per 1,000 postings, plus $0.01 per run start with the default memory. For example, 100 postings cost about $0.13. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/north-america-jobs-scraper').call({
  keywords: 'engineer',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/north-america-jobs-scraper").call(run_input={
    "keywords": "engineer",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of each site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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• Dice Jobs Scraper
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