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Learn4Good Jobs Scraper

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from $10.00 / 1,000 results

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Learn4Good Jobs Scraper

Learn4Good Jobs Scraper

[πŸ’° $10.00 / 1K] Extract job listings from Learn4Good. Search by keyword and location, paste Learn4Good URLs directly, or filter by job type and posting date. Get structured jobs with titles, companies, locations, salaries, types, posting dates, and full descriptions β€” one clean row per posting.

Pricing

from $10.00 / 1,000 results

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SolidCode

SolidCode

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1

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2 days ago

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Pull job listings from Learn4Good at scale β€” titles, hiring companies, locations, parsed salaries, employment types, posting dates, expiry dates, and full job descriptions in clean, structured rows. Search across 30 job categories worldwide, filter by employment type and posting date, or paste any Learn4Good URL straight in. Built for recruiters, job-market researchers, and job-board aggregators who need fresh, structured Learn4Good postings without copying listings off the site one page at a time.

Why This Scraper?

  • 30 job categories, worldwide β€” nursing, software development, teaching, sales, engineering, hospitality, skilled trades, and more; any keyword you type is matched to the closest Learn4Good category automatically.
  • Six employment-type filters β€” Full-time, Part-time, Contract, Internship, Temporary, and Volunteer, applied per run.
  • Four posting-date windows β€” last 24 hours, 3 days, 7 days, or 30 days, so you only collect listings that are still fresh.
  • Parsed salary fields, not just text β€” every listing returns salaryMin, salaryMax, and salaryCurrency (USD, EUR, GBP, and more) alongside the raw salary string, ready for sorting and analysis.
  • Both plain-text and HTML descriptions β€” descriptionText for analytics and descriptionHtml for rich display, captured from each job's own page.
  • Batch up to 50 keywords per run β€” every keyword runs its own search, so a single run can sweep "nurse", "teacher", and "warehouse" at once instead of one keyword per run.
  • Paste any Learn4Good URL directly β€” already dialed in a search on the site? Drop the search-result or individual job URL in and every filter baked into that link is preserved.
  • 3Γ— faster runs on demand β€” flip off full-description fetching when you only need title, company, location, salary, and posting date.
  • Clean cross-page deduplication β€” jobs that repeat across result pages are removed by job ID, so every row is unique.

Use Cases

Recruiting & Talent Sourcing

  • Build candidate-facing job boards seeded with live Learn4Good roles
  • Track open positions by category in your target markets
  • Surface fresh postings from the last 24 hours for fast outreach
  • Compare role volume across nursing, IT, education, and the trades

Job-Market Research

  • Measure hiring demand by category, location, and employment type
  • Track salary ranges across roles using parsed min/max fields
  • Monitor seasonal swings in Temporary and Volunteer postings
  • Benchmark posting volume week over week with the posting-date windows

Job-Board Aggregation

  • Feed a multi-source aggregator with structured Learn4Good listings
  • De-duplicate and normalize postings into your own schema
  • Keep listings current with scheduled runs and posting-date filters
  • Pull full HTML descriptions for rich listing pages

Lead Generation

  • Identify companies actively hiring in a category or region
  • Build outreach lists of hiring organizations from the company field
  • Spot firms expanding via internships and contract roles
  • Target staffing leads by employment type and location

Data Enrichment & Integration

  • Enrich an existing jobs dataset with Learn4Good salary and date fields
  • Power dashboards tracking hiring trends over time
  • Feed downstream models plain-text descriptions at scale
  • Sync new postings into a CRM or spreadsheet automatically

Getting Started

Search by Keyword

The simplest run β€” one keyword, everywhere:

{
"searchQueries": ["nurse"]
}

Keyword + Location + Filters

Narrow to a country, a single employment type, and recent postings only:

{
"searchQueries": ["software developer", "teacher"],
"location": "United States",
"jobType": "full-time",
"postedWithinDays": "7",
"maxResultsPerQuery": 200
}

Paste Learn4Good URLs Directly

Already have a search dialed in on the site? Scrape those exact pages:

{
"startUrls": [
"https://www.learn4good.com/jobs/language/english/search/nursing/",
"https://www.learn4good.com/jobs/online/usa/nursing/5193000000/e/"
],
"fetchDescription": true,
"maxResultsPerQuery": 100
}

Input Reference

What to Scrape

ParameterTypeDefaultDescription
searchQueriesarray["nurse"]Job titles, roles, or keywords to search. Each keyword runs its own search and is matched to the closest Learn4Good category. Up to 50 per run.
locationstring""City, state, or country to search in, such as "California" or "United States". Applies to every keyword. Leave empty to search everywhere.
startUrlsarray[]Paste full Learn4Good search-result or individual job URLs to scrape them directly. Any filters in the URL are kept. Up to 50 per run.

Filters

ParameterTypeDefaultDescription
jobTypestringAnyOnly return jobs of one employment type: Full-time, Part-time, Contract, Internship, Temporary, or Volunteer.
postedWithinDaysstringAnyOnly return jobs published within a window: last 24 hours, 3 days, 7 days, or 30 days.

Limits & Options

ParameterTypeDefaultDescription
maxResultsPerQueryinteger100Maximum jobs to collect per keyword or per URL. The whole final page is always kept, so a small cap can return up to a full page more than requested. A single search collects at most about 10,000 jobs as a safety limit, well above any Learn4Good category.
fetchDescriptionbooleantrueFetch each job's full description (plain text and HTML) and extra detail from its own page. Turn off for roughly 3Γ— faster runs; the description fields will be empty.

Output

Each job posting becomes one flat row. Example:

{
"jobId": "5193456789",
"title": "Registered Nurse - ICU",
"company": "Springfield General Hospital",
"location": "Boston, Massachusetts, United States",
"salary": "$75,000 - $95,000 per year",
"salaryMin": 75000,
"salaryMax": 95000,
"salaryCurrency": "USD",
"jobType": "full-time, part-time",
"datePosted": "2026-06-20",
"validThrough": "2026-08-19",
"descriptionText": "We are seeking an experienced ICU nurse to join our team...",
"descriptionHtml": "<p>We are seeking an experienced ICU nurse to join our team...</p>",
"url": "https://www.learn4good.com/jobs/boston/usa/nursing/5193456789/e/",
"searchKeyword": "nurse",
"searchLocation": "United States",
"source": "learn4good.com",
"scrapedAt": "2026-06-26T14:32:08.512000+00:00"
}

Core Job Fields

FieldTypeDescription
jobIdstringStable Learn4Good job identifier, used as the cross-page deduplication key.
titlestringJob position title.
companystringHiring organization.
locationstringJob location text.
jobTypestringEmployment type(s) for the listing (Full-time, Part-time, Contract, Internship, Temporary, Volunteer). May contain multiple comma-separated types, e.g. "full-time, part-time".
urlstringDirect link to the job's detail page.

Salary & Dates

FieldTypeDescription
salarystringRaw salary text as shown on the listing, when present.
salaryMinnumberParsed salary floor, when derivable.
salaryMaxnumberParsed salary ceiling, when derivable.
salaryCurrencystringParsed currency code (USD, EUR, GBP, and more), when derivable.
datePostedstringPublication date (ISO format when available).
validThroughstringListing expiry date, when present.

Description & Run Metadata

FieldTypeDescription
descriptionTextstringPlain-text job description (populated when full descriptions are fetched).
descriptionHtmlstringHTML job description (populated when full descriptions are fetched).
searchKeywordstringThe keyword that produced this row.
searchLocationstringThe location filter applied to this run.
sourcestringSource site label ("learn4good.com").
scrapedAtstringISO timestamp of when the row was collected.

Tips for Best Results

  • Keywords map to job categories β€” Learn4Good organizes jobs into a fixed set of 30 categories, so a niche term may be matched to a broader one (for example "frontend" maps to software development). If a precise term returns nothing, paste a category or search URL into startUrls for exact control.
  • Use a country for location β€” country-level locations like "United States", "United Kingdom", or "Canada" give the most reliable results; for city-level targeting, dial the search in on Learn4Good and paste the URL into startUrls.
  • Pair filters with a focused keyword β€” job-type and posting-date filters scan listings as they come in, so combining them with a specific keyword returns matches faster than running them on a broad category. With a filter active, a search stops early once several pages in a row contain no matching jobs, so pick the most focused keyword for the best coverage.
  • Keep fetchDescription on when filtering by date or type β€” those filters rely on detail-page data, so full pages are fetched automatically when either is set; leave the toggle on for the most complete rows.
  • Turn off fetchDescription for quick scans β€” when you only need title, company, location, salary, and posting date, switching it off makes runs about 3Γ— faster.
  • Batch related keywords in one run β€” add several roles to searchQueries (up to 50) to sweep a whole sector in a single run; each gets its own search and results are deduplicated by job ID.
  • Set maxResultsPerQuery to control volume β€” the whole final page is always kept, so the final count can land slightly above the cap on a small limit and slightly below it after duplicates are removed.

Pricing

From $10.00 per 1,000 results β€” competitively priced for clean, structured Learn4Good job data with parsed salaries and full descriptions. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

ResultsNo discountBronzeSilverGold
100$1.20$1.13$1.07$1.00
1,000$12.00$11.30$10.65$10.00
10,000$120.00$113.00$106.50$100.00
100,000$1,200.00$1,130.00$1,065.00$1,000.00

A result is one job posting row in your dataset. No compute or time-based charges β€” you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

  • Zapier / Make / n8n β€” Workflow automation
  • Google Sheets β€” Direct spreadsheet export
  • Slack / Email β€” Notifications on new results
  • Webhooks β€” Trigger custom APIs on run completion
  • Apify API β€” Full programmatic access

This scraper collects publicly available job-listing data from Learn4Good. Use it responsibly and in compliance with Learn4Good's terms of service and all applicable laws and regulations. Do not use collected data to send unsolicited communications or for any purpose that infringes on privacy or other rights. You are responsible for how you use the data you collect, including any handling of personal information under regulations such as GDPR and CCPA.