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Eluta.ca Job Scraper: how to get the data as JSON/CSV (API, Python, no code)

Scrape Canadian job listings from eluta.ca by keyword and location. This guide shows the output fields, a working input, and Python, JavaScript and cURL code for the Actor v0iddo/eluta-ca-job-scraper on Apify.

Open Eluta.ca Job Scraper on Apify

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

FieldLabelTypeExample
jobIdJob IDtextfc8a5e6b066e7efb9a52d8f1d587b1d4
titleJob TitletextAssocié, Manutention
employerEmployertextHome Depot Canada Inc.
locationLocationtextToronto, ON
remoteRemotetrue/falsefalse
salaryMinSalary Minnumber20.35
salaryMaxSalary Maxnumber22.1
topEmployerTop Employertrue/falsefalse
snippetSnippettextDescription du poste Vous aimez aider les autres à réussir et laiss...
lastSeenLast Seentext3 minutes ago
urlJob URLURLhttps://www.eluta.ca/spl/associ%C3%A9-manutention-fc8a5e6b066e7efb9...
keywordtextsoftware developer
searchLocationtextToronto ON
pagenumber1
positionnumber1

Input example

This is the input that is pre-filled on the Actor page. Change the values for your own run.

{
  "keyword": "software developer",
  "location": "Toronto ON",
  "maxPages": 2,
  "maxItems": 20
}
Input fieldTypeWhat it does
keyword (required)stringJob title or keywords to search for, e.g.
locationstringCity and province to search in, e.g.
maxPagesintegerNumber of result pages to read.
maxItemsintegerThe run stops after this many result rows.

Output sample

Real rows from a run of the Actor. Fields that name people are left out of the sample.

[
  {
    "keyword": "software developer",
    "searchLocation": "Toronto ON",
    "page": 1,
    "position": 1,
    "jobId": "fc8a5e6b066e7efb9a52d8f1d587b1d4",
    "title": "Associé, Manutention",
    "employer": "Home Depot Canada Inc.",
    "location": "Toronto, ON",
    "remote": false,
    "salaryMin": 20.35,
    "salaryMax": 22.1,
    "topEmployer": false,
    "snippet": "Description du poste Vous aimez aider les autres à réussir et laisser votre marque? Vous éprouvez de la fierté à guider les clients vers...",
    "lastSeen": "3 minutes ago",
    "url": "https://www.eluta.ca/spl/associ%C3%A9-manutention-fc8a5e6b066e7efb9a52d8f1d587b1d4"
  },
  {
    "keyword": "software developer",
    "searchLocation": "Toronto ON",
    "page": 1,
    "position": 2,
    "jobId": "67a4723830f0199628d3f8c9d8592306",
    "title": "Spécialiste, Expérience Relative Aux Projets",
    "employer": "Home Depot Canada Inc.",
    "location": "Toronto, ON",
    "remote": false,
    "salaryMin": 19.9,
    "salaryMax": 21.9,
    "topEmployer": false,
    "snippet": "Description du poste Vous aimez aider les autres à réussir et laisser votre marque? Vous éprouvez de la fierté à guider les clients vers...",
    "lastSeen": "3 minutes ago",
    "url": "https://www.eluta.ca/spl/sp%C3%A9cialiste-exp%C3%A9rience-relative-aux-projets-67a4723830f0199628d3f8c9d8592306"
  }
]

Code: Python, JavaScript and cURL

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/eluta-ca-job-scraper.

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {'keyword': 'software developer',
 'location': 'Toronto ON',
 'maxPages': 2,
 'maxItems': 20}

run = client.actor("v0iddo/eluta-ca-job-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
  "keyword": "software developer",
  "location": "Toronto ON",
  "maxPages": 2,
  "maxItems": 20
};

const run = await client.actor('v0iddo/eluta-ca-job-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~eluta-ca-job-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword": "software developer", "location": "Toronto ON", "maxPages": 2, "maxItems": 20}'

Price

$0.77 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.54 per 1,000. See the pricing tab for your plan. A new Apify account gets $5 of platform credit every month.

Good to know

FAQ

What data does the Eluta.ca Job Scraper return?

Each result is one row in an Apify dataset. Fields include jobId, title, employer, location, remote, salaryMin, salaryMax, topEmployer, and more. The table above shows every field with an example value.

How do I use the Eluta.ca Job Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/eluta-ca-job-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$0.77 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.54 per 1,000. A new Apify account gets $5 of platform credit every month.

How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Can I send the results to Google Sheets, Make, Zapier or n8n?

Yes. Apify datasets connect to Google Sheets, Slack, Make, Zapier and n8n, and a webhook can call your own service when a run finishes. You can also export the dataset as JSON, CSV or Excel.

Open Eluta.ca Job Scraper on Apify

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