WorkersOnboard Scraper - Remote Work-From-Home Job Leads
Pricing
from $1.20 / 1,000 result scrapeds
WorkersOnboard Scraper - Remote Work-From-Home Job Leads
Scrape remote and work-from-home job leads from WorkersOnboard's continuously updated job-log pages. Extract job titles, hiring companies, pay rates, and direct apply links. No login or cookies required.
Pricing
from $1.20 / 1,000 result scrapeds
Rating
0.0
(0)
Developer
Studio Amba
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
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What does WorkersOnboard Scraper do?
WorkersOnboard Scraper extracts remote and work-from-home job leads from WorkersOnboard, a US-focused blog that curates new remote hiring opportunities in continuously updated job-log posts. Every result includes the job title, hiring company (where stated), pay rate (where stated), the date it was published on WorkersOnboard, and a direct external apply link straight to the employer's application page or ATS (iCIMS, Lever, Workday, and others).
Use it on the Apify platform to build a remote-jobs lead feed, monitor which companies are hiring work-from-home roles this week, or feed a job board / newsletter / alert system with fresh WFH openings — without manually re-reading a growing blog post every day.
How to scrape WorkersOnboard data
- Go to the WorkersOnboard Scraper on the Apify Store.
- Click Try for free to open the actor in the Apify Console.
- Leave the input empty to scrape both source pages (default), or pick just
weekly-jobsorfriday-freebies. - Set the maximum number of leads you want (default: 200 — most recent first).
- Click Start and wait for the run to finish (usually under a minute — two page fetches, no browser rendering).
- Download your data as JSON, CSV, Excel, or HTML from the Output tab.
Why use WorkersOnboard Scraper?
- Remote-hiring signal, not stale listicles — WorkersOnboard's
weekly-jobsandfriday-freebiespages are the site's living, dated job logs (new sections keep getting appended), not the site's hundreds of static "top 10 ways to make money" articles. This actor targets exactly those two pages. - Real apply links, real companies — Radiology Scheduler at Carenet Health, Customer Service at Elevance Health, Loan Service Specialist at QC Holdings, and dozens more per run, each linking straight to the employer's own careers page or ATS. Not affiliate redirects.
- Lead generation — See which companies are actively opening remote roles right now, for recruiting-tool sales, staffing outreach, or competitive hiring intelligence.
- Job-seeker tooling — Power a personal alert bot, a niche remote-jobs newsletter, or a WFH job aggregator without checking the blog by hand.
- Zero anti-bot friction — Plain WordPress, no Cloudflare JS challenge, no login. Fast, cheap, reliable runs.
- Uncontested niche — as of this writing there is no other Apify Store actor targeting this domain.
About WorkersOnboard
WorkersOnboard is a US-based work-from-home content site. Most of its ~650 published pages are evergreen listicles and "how to make money from home" guides — not individual job postings, and this actor deliberately does not scrape that content. Its two job-log pages, however, work more like a manually curated hiring newsletter published as a blog post: a dated header ("Work from home Jobs for 7/21/2026") followed by a run of job title + description entries, with the oldest entries (back to March 2026 at the time of this build) still present further down the same page. See docs/site-recon/workersonboard.md for the full technical breakdown.
Input
| Field | Type | Required | Description |
|---|---|---|---|
sources | Array | No | Which job-log page(s) to scrape: weekly-jobs and/or friday-freebies. Defaults to both. |
maxResults | Integer | No | Maximum number of job leads to return, most recent first (default: 200, max: 5000). |
proxyConfiguration | Object | No | Proxy settings. WorkersOnboard has no anti-bot protection — proxies are optional. |
Output
Each result is one job/gig lead scraped from a WorkersOnboard job-log entry. You can download the dataset as JSON, CSV, Excel, or HTML.
Example output (real run, 2026-07-22)
{"jobTitle": "Radiology Scheduler – Starts Aug. 13th","company": "Carenet Health","description": "Carenet Health is hiring reps to schedule, confirm, cancel, or reschedule radiology appointments. You will also confirm insurance information, document interactions, and other duties. Requires 6 months work from home customer service experience, strong problem-solving skills, Windows proficiency, and type 35 to 40 wpm. Pays $16 per hour with benefits.","payText": "$16 per hour","payAmount": 16,"payCurrency": "USD","payPeriod": "hour","remote": true,"postedAt": "2026-07-21T00:00:00.000Z","sourceCategory": "weekly-jobs","sourceUrl": "https://www.workersonboard.com/weekly-jobs/","applyUrl": "https://careers-carenethealthcare.icims.com/jobs/5413/certified-medical-assistant-%7c-remote-%7c-%2417-hour-%7c-starts-08-20-2026/job","url": "https://careers-carenethealthcare.icims.com/jobs/5413/certified-medical-assistant-%7c-remote-%7c-%2417-hour-%7c-starts-08-20-2026/job","scrapedAt": "2026-07-22T14:51:02.368Z"}
Data fields
| Field | Type | Description |
|---|---|---|
jobTitle | String | Job or gig title as listed on WorkersOnboard |
company | String or null | Hiring company name, extracted from the listing description — not stated for every entry (see Limitations) |
description | String | Full listing description text as published on WorkersOnboard |
payText | String or null | Pay rate as stated in the description (e.g. "$16 per hour") |
payAmount | Number or null | Parsed numeric pay amount |
payCurrency | String or null | Pay currency (USD — the site is US-focused) |
payPeriod | String or null | Pay period: hour, day, week, month, task |
remote | Boolean | Always true — WorkersOnboard exclusively lists remote / work-from-home opportunities |
postedAt | String or null | Date the listing was published on WorkersOnboard (ISO 8601) |
sourceCategory | String | Which job-log page the entry came from (weekly-jobs or friday-freebies) |
sourceUrl | String | URL of the WorkersOnboard page this listing was scraped from |
applyUrl | String | Direct external URL to apply for this job/gig |
url | String | Alias of applyUrl |
scrapedAt | String | ISO 8601 timestamp of when the data was collected |
Cost estimate
This actor makes two plain HTTP requests (one per source page, no browser rendering) and parses the HTML server-side. A full run collecting 200+ leads typically uses well under 0.02 compute units — a few seconds of a 1 GB run. This is one of the cheapest actor profiles in the fleet: no pagination, no per-item requests, no proxy dependency for correctness.
Limitations
- Not every entry names a company. WorkersOnboard mixes true job listings ("Carenet Health is hiring...") with gig/reward-app entries phrased generically ("Get paid to shop for others..."). Company coverage runs roughly 85% on
weekly-jobsand somewhat lower onfriday-freebies— this reflects how the source content is written, not a parsing gap. - Pay rate is only stated for about half of entries. When WorkersOnboard's description doesn't quote a rate,
payText/payAmountarenullrather than guessed. - No location filtering. The site doesn't break out per-listing location data beyond "remote" — most roles are open to US-based remote workers, some are worldwide; check
descriptionfor specifics. - History, not just "new." Each run re-reads the full current job log, so early runs return the site's entire back catalogue (months of entries). Deduplicate on
applyUrlbetween runs if you only want new leads, or use Apify's built-in dataset deduplication on scheduled runs. - Two source pages only. WorkersOnboard has several other category pages (freelance gigs, focus groups, appointment setters, etc.) with only a handful of static entries each — not worth the added complexity of a third parsing path for a few extra rows.
weekly-jobsandfriday-freebiesare the site's actively maintained job logs.
Tips
- Schedule daily runs and diff against your last dataset (by
applyUrl) to get only genuinely new leads. - Use
sourceCategoryto separate the two feeds if you want to track their cadence independently —weekly-jobsupdates far more often thanfriday-freebies. - Filter on
payAmountclient-side after scraping if you only want listings above a certain hourly rate.
Integrations
Connect WorkersOnboard Scraper with your existing tools and workflows:
- Google Sheets — Export new leads to a spreadsheet for a recruiting or side-income tracker.
- Slack / Email — Get notified when a new high-pay listing appears.
- Zapier / Make — Trigger workflows on new job leads in real time.
- Custom API — Access all results programmatically via the Apify API in JSON format.
- Webhooks — Fire actions in your own systems when new data lands.
Related scrapers
- NoFluffJobs Scraper — European tech jobs with mandatory salary ranges
- TotalJobs Scraper — UK job board listings
- IrishJobs Scraper — Ireland job board listings
- JobSite Scraper — UK job board listings
- eJobs Scraper — Romania job board listings
FAQ and support
Is this the same as scraping a job board? Not exactly. WorkersOnboard doesn't run a job-listing database with per-job pages — it publishes hiring leads as dated entries inside two long-running blog posts. This actor parses that structure directly. See the Limitations section above for what that means for data completeness.
Why are some company and payText fields empty? Because WorkersOnboard's own description text doesn't always name a company or quote a rate — this happens most often for gig/reward-app entries ("take surveys," "watch videos"). The actor extracts what's actually stated; it doesn't guess.
Do I need proxies? No. WorkersOnboard has no anti-bot protection. Proxies are available as an optional input for larger-scale or more resilient scheduled runs.
How often is the source updated? WorkersOnboard adds new dated sections to weekly-jobs several times a week and to friday-freebies less frequently. Schedule the actor daily to catch new leads as they're published.
I found a bug or have a feature request. Open an issue in the Issues tab on the actor page.