Glassdoor Jobs Scraper (x402)

x402

Glassdoor Jobs Scraper (x402) is a paid API for AI agents from x402.186-241-26-229.sslip.io, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-02).

Scrapes and returns structured Glassdoor job listings filtered by keyword, location, radius, date, rating, and other criteria via pay-per-call.

Price / call$0.025

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call structured web data. Failed or empty runs are not charged.

Output

Returns a JSON object with a count of matched jobs and an array of job items, each containing the job ID, title, URL, SEO URL, employer rating, age in days, easy apply flag, discovery timestamp, and (if requested) full job description plus additional employer and job metadata fields.

Example use cases

Daily new job monitoring for recruiter

“Pull the latest 50 data science job postings from Glassdoor in Seattle within 10 miles, only jobs posted in the last 3 days sorted by date, and include full descriptions so I can screen them.”

Remote job board for niche keyword

“Find up to 200 remote cybersecurity analyst jobs on Glassdoor posted in the last 30 days — mark easy apply ones and make sure employer ratings are at least 3.0.”

Recruiting pipeline deduplication run

“Scrape Glassdoor for product manager roles in New York within 50 miles, sorted by relevance, and exclude these job IDs I already collected last week: 12345, 67890, 11223.”

Technical details

Endpoint

POSThttps://x402.186-241-26-229.sslip.io/v1/glassdoor-jobs?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured, filtered Glassdoor job listing data at scale without building your own scraper — especially when you want pay-only-on-success pricing. Ideal for recruiting pipelines, job monitoring bots, market research, and any agent workflow that needs fresh Glassdoor job data with rich filters like employer rating, easy apply, remote work type, and employer size. Prefer this over generic web scrapers when you specifically need Glassdoor's job taxonomy and employer metadata.

Side effects

No matching jobs found for the given filters — no charge applied, empty items array returned
Invalid location string that doesn't match any Glassdoor public location — may return zero results
Radius or daysOld value outside allowed range — request rejected with validation error
Glassdoor site structure change causing scrape failure — failed runs are not charged
Rate limiting or blocking by Glassdoor — results in failed run with no charge

Input

Schema · Request body

Field	Type	Description
limit	integer	Maximum number of unique jobs to save.
radius	string	Distance in miles from the selected location.
sortBy	string	Sort by relevance or posting date.
daysOld	integer	Only jobs posted within this many days. Leave empty for any age.
keywords	string	Job title, skill, or search phrase.
location	string	City, state, or country to search. The first matching public location is used.
urlParam	array	Optional supported search filter key and value pairs, such as industryNId. Values override matching standard filters.
easyApply	boolean	Return jobs marked Easy Apply.
minRating	number	Filter by employer rating from 0 to 5.
employerSizes	string	Filter by the site employer size category.
excludeJobIds	array	Job IDs already collected in earlier runs.
remoteWorkType	boolean	Apply the remote work filter.
includeDescription	boolean	Fetch each job detail to include the full description and extra employer and job fields.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "items": [
      {
        "id": null,
        "url": null,
        "title": null,
        "rating": null,
        "seoUrl": null,
        "ageInDays": null,
        "easyApply": null,
        "discoveredAt": null
      }
    ],
    "product": "glassdoor-jobs"
  }
}

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