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    "title": "LinkedIn Jobs Scraper",
    "description": "[💰 $0.95 / 1K] Extract LinkedIn job postings at scale — title, company, location, salary, description, seniority, employment type, applicant count, and recruiter details. Search by keyword and location with date, job-type, experience-level, and remote filters, or paste LinkedIn search URLs.",
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        "properties": {
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            "title": "Search Keywords",
            "type": "string",
            "description": "Job title, skill, or keyword to search for (e.g., 'Python developer', 'product manager', 'nurse'). Leave empty if you are only using LinkedIn URLs below."
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "City, region, or country to search in (e.g., 'New York', 'United Kingdom', 'Remote — Germany'). Matches what you would type into LinkedIn's location box."
          },
          "startUrls": {
            "title": "LinkedIn Job Search URLs",
            "type": "array",
            "description": "Full LinkedIn job-search URLs, copied from your browser. Keyword, location, date-posted and company filters in the URL are applied. Experience level, job type, workplace type, industry and salary filters are NOT — LinkedIn only applies those for signed-in visitors, so a URL using them returns a wider set of jobs here than it shows in your browser. The run warns you when it sees one.",
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              "day"
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          "companyUrls": {
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            "title": "Sort By",
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              "recent"
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            "description": "Total number of jobs to return across all searches and URLs. When a run has more than one search (keywords plus URLs, or several URLs), they share this total and run in order, so a later search returns nothing once the total is used up. Use 0 for unlimited instead: every search then runs on its own until LinkedIn runs out of jobs, so a run with 3 searches can return roughly 3,000 jobs and you are billed for all of them. LinkedIn caps each individual search at roughly 1,000 jobs — to go deeper, run several narrower searches (by location, date, or job type).",
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