Jobicy Remote Jobs Scraper

hipersoft/jobicy-scraper

Scrape remote job listings from Jobicy: job title, company, industry, type, level, location/region, salary, description and post date. Filter by keyword tag, region and industry. One row per job as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.0015

Last rebuilt

Oct 26, 2026

Overview

Collect remote job listings from Jobicy with the Jobicy Remote Jobs Scraper. Filter by keyword, region and industry and export each job's title, company, industry, type, level, location, salary, description and post date — one clean row per job as JSON, CSV or Excel.

Built for job boards, remote-work aggregators, recruiters and job-market research, it turns Jobicy's remote job feed into a structured, filterable dataset.

What it does

🌍 Remote jobs — worldwide remote roles across many industries.
🔎 Filter by keyword, region & industry — target the exact roles you want.
🧾 Rich fields — title, company, logo, industry, job type, level, region, salary range and full description.
📅 Freshness — each job includes its publish date.
📤 Export anywhere — JSON, CSV or Excel, or straight into a job board, sheet or dashboard.

Example output

{
  "title": "Forward Deployed Engineer, Python",
  "company": "Socket",
  "industry": "Cybersecurity",
  "jobType": "Full-Time",
  "location": "USA",
  "salaryMin": 125000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "url": "https://jobicy.com/jobs/..."
}

How to use it

Add one or more keyword tags (e.g. python, marketing).
Optionally filter by region and industry.
Set Max jobs and run. Download the results as JSON, CSV or Excel.

Input fields

Field	Description
Keyword tags	Keywords to filter jobs by; each runs its own query.
Region	Region filter (usa, europe, uk, apac, latam…).
Industry	Industry filter (engineering, marketing, design…).
Max jobs	Maximum jobs per query (feed returns up to 50 latest matches).

Output fields

id, title, company, companyLogo, industry, jobType, jobLevel, location, excerpt, description, salaryMin, salaryMax, salaryCurrency, salaryPeriod, publishedAt, url.

Popular use cases

Remote job boards — feed fresh remote roles into your own site.
Recruiting — track remote openings by keyword and region.
Market research — analyse remote hiring by industry and salary.
Aggregators — combine with other job sources into one feed.

FAQ

Do I need an account or key? No. Add your filters and run.

How many jobs can I get? The feed returns up to 50 of the latest matching jobs per query; use several keyword tags to widen coverage.

Can I filter to a region or industry? Yes — set the region and industry filters to narrow the results.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with Sheets and dashboards.

Structured remote job listings — title, company, salary, region and description — filterable and export-ready for boards, recruiting and research.

Input

Field	Type	Description
`searchTags` Keyword tags	array	Keywords to filter jobs by — e.g. 'python', 'marketing', 'design'. Each runs its own query. Leave empty for the latest jobs.
`geo` Region	string	Filter by region — e.g. 'usa', 'europe', 'uk', 'apac', 'latam'. Leave blank for worldwide.
`industry` Industry	string	Filter by industry — e.g. 'engineering', 'marketing', 'design', 'sales', 'customer-support'.
`maxItems` Max jobs	integer	Maximum jobs to collect per query (the feed returns up to 50 of the latest matching jobs). Default: `50`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~jobicy-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchTags": [
    "python"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/jobicy-scraper").call(run_input={
    "searchTags": [
        "python"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/jobicy-scraper').call({
  "searchTags": [
    "python"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped Charged for each remote job returned.	$0.0015	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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