The Ladders Scraper

Extract professional job listings from TheLadders.com — one of the US's leading job boards for $80K+ roles. Supports keyword search, location filtering, salary data, full descriptions, and cross-run deduplication. No API key or account required.

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Why this scraper?

🔍 Keyword + location search built in

Search by job title and filter by city, state, or region directly from the input — no need to construct URLs manually. Location fallback ensures results even when TheLadders hasn't indexed the exact keyword+location combination.

💰 Salary data on every listing

Every result includes the displayed salary range as text plus parsed salaryMin / salaryMax / salaryCurrency — ready for direct comparison and analysis.

🏢 Full company and location data

With detail fetching enabled: company name, city, state, postal code, and GPS coordinates (latitude/longitude) per listing.

📄 Three description formats

Full job descriptions returned as HTML, plain text, and Markdown — compatible with any downstream pipeline.

⚡ Lightweight — 8× cheaper than alternatives

Runs at 512 MB using HTTP-only requests with Chrome TLS impersonation. Competing scrapers require 4 GB Playwright instances for the same site.

🔄 Cross-run deduplication (90-day memory)

skipReposts mode skips jobs already seen in previous runs. All items carry isRepost, originalPublishDate, and originalUrl for full deduplication visibility without filtering.

↗️ Direct apply detection

directApply field flags listings where candidates can apply without leaving TheLadders — useful for funnel analysis and outreach targeting.

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Input parameters

Parameter	Type	Default	Description
keywords	string	—	Job search keywords, e.g. software engineer, product manager
location	string	—	City, state, or region, e.g. New York, Texas, Remote. Leave empty for all locations.
maxItems	integer	100	Maximum number of job listings to return (up to 500)
maxPages	integer	10	Max search result pages per keyword (25 jobs/page, max 12)
fetchDetails	boolean	true	Fetch each job's detail page for company name, full description, exact salary, and directApply
skipReposts	boolean	false	Skip jobs already seen in previous runs (90-day memory)
daysOld	integer	—	Only return jobs posted within this many days. Requires fetchDetails: true.
startUrls	array	—	Specific TheLadders job or search page URLs to scrape directly

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Output schema

Always present

Field	Type	Description
id	string	Unique numeric TheLadders job ID
url	string	Full URL to the job listing
title	string	Job title
locationText	string	Location as displayed on listing card, e.g. New York, NY (New York County)
salaryText	string	Salary range as displayed, e.g. $150K - $200K *
remoteType	string	Work arrangement from listing badge: In-Person, Remote, or Hybrid
experienceLevel	string	Experience label shown on card, e.g. Less than 5 years exp.
industry	string	Industry category shown on listing card
postedDateRelative	string	Relative posting date, e.g. 2 days ago, Today
publishDate	string	Estimated posting date in YYYY-MM-DD format
publishDateISO	string	Posting date as ISO 8601 timestamp
descriptionSnippet	string	Short description excerpt from listing card
isRepost	boolean	Whether this job was seen in a previous run
originalPublishDate	string	First-seen posting date if isRepost is true
originalUrl	string	First-seen URL if isRepost is true
contentHash	string	16-char MD5 hash of key fields for change detection
source	string	Always theladders.com
scrapedAt	string	ISO 8601 timestamp of when this record was scraped

With fetchDetails: true (additional fields)

Field	Type	Description
companyName	string	Hiring company name
city	string	City from job location
state	string	US state abbreviation, e.g. NY
country	string	Country code, e.g. US
postalCode	string	Postal code
latitude	number	Latitude coordinate
longitude	number	Longitude coordinate
salaryMin	number	Minimum annual salary in USD
salaryMax	number	Maximum annual salary in USD
salaryCurrency	string	Always USD
salaryPeriod	string	Always YEAR
employmentType	string	Employment type: Full Time, Part Time, Contractor, Temporary, Intern
experienceMonths	number	Minimum experience in months
directApply	boolean	Whether candidates can apply directly on TheLadders
datePosted	string	Exact posting date in YYYY-MM-DD format
validThrough	string	Listing expiry date in YYYY-MM-DD format
metaDescription	string	Page meta description — concise salary/company/location summary
descriptionHtml	string	Full job description as HTML
descriptionText	string	Full job description as plain text
descriptionMarkdown	string	Full job description as Markdown

JSON example

{
  "id": "86532672",
  "url": "https://www.theladders.com/job/software-engineer-current-new-york-ny_86532672",
  "title": "Software Engineer",
  "companyName": "Current",
  "locationText": "New York, NY (New York County)",
  "city": "New York",
  "state": "NY",
  "country": "US",
  "postalCode": "10025",
  "latitude": 40.7983,
  "longitude": -73.9632,
  "salaryText": "$150K - $200K *",
  "salaryMin": 150000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "employmentType": "Full Time",
  "industry": "Information Technology",
  "remoteType": "In-Person",
  "directApply": false,
  "experienceLevel": "Less than 5 years exp.",
  "experienceMonths": 12,
  "datePosted": "2026-04-17",
  "validThrough": "2027-04-12",
  "publishDate": "2026-04-17",
  "publishDateISO": "2026-04-17T00:00:00+00:00",
  "postedDateRelative": "1 week ago",
  "metaDescription": "Current is hiring a Software Engineer, with an estimated salary of $150,000 - $200,000. This job in Information Technology is in New York, NY.",
  "descriptionSnippet": "Optimize backend architectures and drive impactful feature development...",
  "descriptionHtml": "<div><strong>SOFTWARE ENGINEER</strong><br/>...</div>",
  "descriptionText": "SOFTWARE ENGINEER We are looking for a Software Engineer...",
  "descriptionMarkdown": "**SOFTWARE ENGINEER**\n\nWe are looking for...",
  "isRepost": false,
  "originalPublishDate": null,
  "originalUrl": null,
  "contentHash": "b23fa10849883534",
  "source": "theladders.com",
  "scrapedAt": "2026-05-04T10:30:00.000Z"
}

---

Examples

Search for software engineering roles in New York:

{
  "keywords": "software engineer",
  "location": "New York",
  "maxItems": 100,
  "fetchDetails": true
}

Remote executive roles, past 7 days only:

{
  "keywords": "vice president",
  "location": "Remote",
  "maxItems": 50,
  "fetchDetails": true,
  "daysOld": 7
}

Scrape specific job or search URLs directly:

{
  "startUrls": [
    { "url": "https://www.theladders.com/job/software-engineer-current-new-york-ny_86532672" },
    { "url": "https://www.theladders.com/jobs/product-manager-jobs" }
  ],
  "fetchDetails": true
}

Daily feed — new listings only (schedule for daily runs):

{
  "keywords": "data scientist",
  "maxItems": 200,
  "fetchDetails": true,
  "skipReposts": true,
  "daysOld": 1
}

---

💰 Pricing

$1.49 per 1,000 results — pay only for successfully scraped listings.

Results	Cost
100	~$0.15
1,000	~$1.49
10,000	~$14.90

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Performance

Mode	Approx. throughput
List only (fetchDetails: false)	~25 items/min
With details (fetchDetails: true)	~5 items/min

Memory usage is 512 MB — 8× less than Playwright-based alternatives for the same site.

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Known limitations

• Location filtering uses TheLadders' pre-built category pages — not all keyword+location combinations have a dedicated page. The actor automatically falls back to keyword-only search in this case.
• Maximum ~300 results per keyword (12 pages × 25 jobs).
• Salary data is TheLadders' estimated range (marked with *) — not always employer-disclosed.
• daysOld filter requires fetchDetails: true for accurate date comparison.

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Technical details

• Source: theladders.com — US professional job board focused on $80K+ roles
• Memory: 512 MB
• Bot bypass: curl_cffi Chrome 136 TLS impersonation + Apify RESIDENTIAL proxy
• Dedup store: KeyValueStore theladders-job-dedup, 90-day TTL

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Additional services

Need a custom actor, additional filters, scheduled runs, or integration support?
Contact info@unfencedgroup.nl — we build on request.

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Need a custom scraper?

Unfenced Group builds Apify actors for any website — for free.

If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio.

Get in touch: www.unfencedgroup.nl