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TheLadders.Com Job Scraper

Under maintenance

Pricing

from $1.49 / 1,000 results

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TheLadders.Com Job Scraper

TheLadders.Com Job Scraper

Under maintenance

Scrape professional job listings from TheLadders.com — salary ranges, company names, locations, and full descriptions for $80K+ roles. No API key needed.

Pricing

from $1.49 / 1,000 results

Rating

0.0

(0)

Developer

Unfenced Group

Unfenced Group

Maintained by Community

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0

Bookmarked

3

Total users

2

Monthly active users

8 days ago

Last modified

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The Ladders Scraper

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Extract job listings from TheLadders.com — one of the United States' leading job boards focused on professional and executive roles ($80K+). Returns job titles, salary ranges, company names, locations, and full descriptions. No API key required.


Why this scraper?

💰 Salary data included

Every listing includes the displayed salary range — a key differentiator of TheLadders, which specialises in high-salary professional roles.

🏢 Company enrichment

With detail fetching enabled, get the hiring company name, location coordinates, and postal code for each listing.

📍 Location filtering

Filter results by city, state, or region directly via the location input — no post-processing needed.

🔄 Cross-run deduplication

90-day deduplication memory prevents the same job from appearing twice across scheduled runs. Integrate into daily data feeds without managing IDs yourself.

📄 Three description formats

Full job descriptions are returned as HTML, plain text, and Markdown — ready for any downstream application.

⚙️ startUrls support

Pass specific TheLadders job or search page URLs to scrape targeted listings directly.


Input parameters

ParameterTypeDefaultDescription
keywordsstringJob search keywords, e.g. software engineer, product manager
locationstringCity, state, or region to filter by, e.g. New York, Texas
maxItemsinteger100Maximum number of jobs to return (up to 500)
maxPagesinteger10Maximum search result pages to crawl (25 jobs/page, max 12)
fetchDetailsbooleantrueFetch full detail page per listing (company, full description, exact salary)
skipRepostsbooleanfalseSkip jobs seen in previous runs (90-day memory)
daysOldintegerOnly return jobs posted within this many days (requires fetchDetails)
startUrlsarraySpecific TheLadders job or search URLs to scrape directly

Output schema

Always present

FieldTypeDescription
idstringUnique numeric TheLadders job ID
urlstringFull URL to the job listing
titlestringJob title
locationTextstringLocation as displayed on the listing card
salaryTextstringSalary range as shown, e.g. $150K — $200K *
remoteTypestringWork arrangement: In-Person, Remote, or Hybrid
experienceLevelstringExperience requirement label, e.g. Less than 5 years exp.
industrystringIndustry category shown on listing card
postedDateRelativestringRelative posting date, e.g. 2 days ago, Today
publishDatestringEstimated posting date in YYYY-MM-DD format
publishDateISOstringPosting date as ISO 8601 timestamp
descriptionSnippetstringShort description excerpt from the listing card
isRepostbooleanWhether this job was seen in a previous run
originalPublishDatestringFirst-seen date if isRepost is true
originalUrlstringOriginal URL if isRepost is true
contentHashstring16-character MD5 hash of key fields for change detection
sourcestringAlways theladders.com
scrapedAtstringTimestamp of when this record was scraped

With fetchDetails: true (additional fields)

FieldTypeDescription
companyNamestringHiring company name (null if not disclosed)
citystringCity from job location
statestringUS state abbreviation, e.g. NY
countrystringCountry code, e.g. US
postalCodestringPostal code (null if not provided)
latitudenumberLatitude coordinate
longitudenumberLongitude coordinate
salaryMinnumberMinimum annual salary in USD (null if not disclosed)
salaryMaxnumberMaximum annual salary in USD (null if not disclosed)
salaryCurrencystringAlways USD
salaryPeriodstringAlways YEAR
employmentTypestringEmployment type, e.g. FULL_TIME
experienceMonthsnumberMinimum experience in months
datePostedstringExact posting date in YYYY-MM-DD format
validThroughstringListing expiry date in YYYY-MM-DD format
descriptionHtmlstringFull job description as HTML
descriptionTextstringFull job description as plain text
descriptionMarkdownstringFull 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",
"experienceLevel": "Less than 5 years exp.",
"experienceMonths": 12,
"datePosted": "2026-04-17",
"validThrough": "2027-04-12",
"postedDateRelative": "1 week ago",
"publishDate": "2026-04-17",
"publishDateISO": "2026-04-17T03:03:28.000Z",
"descriptionSnippet": "We are looking for a Software Engineer to join our team in New York...",
"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 a Software Engineer...",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null,
"contentHash": "a3f7c92b18e04d51",
"source": "theladders.com",
"scrapedAt": "2026-04-26T10:30:00.000Z"
}

Examples

Search for software engineering roles in New York:

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

Search for remote executive roles:

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

Scrape specific job 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 — you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.

ResultsCost
100~$0.15
1,000~$1.49
10,000~$14.90
100,000~$149.00

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Use the Max results cap in the input to control your spend exactly.


Performance

Run sizeApprox. time
100 jobs (no details)~30 seconds
100 jobs (with details)~3 minutes
500 jobs (with details)~15 minutes

Known limitations

  • TheLadders requires a free account to view full job details on the website; scraped data comes from structured metadata and does not require login.
  • Location filtering is approximate — results for a given location may include nearby areas.
  • Salary data is shown as a range and may be marked as estimated by TheLadders (indicated by * in the display).
  • Maximum ~300 results per keyword search (12 pages × 25 jobs).
  • The daysOld filter requires fetchDetails: true for accurate date comparison.

Technical details

  • Source: theladders.com — US professional job board focused on $80K+ roles
  • Memory: 512 MB
  • Repost storage: KeyValueStore theladders-job-dedup, 90-day TTL
  • Retry: Automatic retry on network errors, exponential backoff, 3 attempts per request

Additional services

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


Part of the Unfenced Group job board scraper portfolio — 60+ job markets covered.
Built by unfenced-group · Issues? Open a ticket or send a message.