{
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    "title": "LinkedIn Jobs Scraper | Remove Duplicate Jobs | Pay Per Result",
    "description": "LinkedIn Jobs Scraper | Remove Duplicate Jobs.\n\nThe LinkedIn jobs scraper allows you to collect jobs in 2 ways:\n\n    By providing one or more start URLs, or\n    By entering multiple keywords, search queries.\n\nYou can use either method individually or combine both.",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "One or more URLs of the pages where the crawler will start. Note that the Actor will additionally crawl job page data.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "keyword": {
            "title": "Keywords",
            "type": "array",
            "description": "Keyword to search for. (e.g., Software Engineer). JSON field name: `keywords`"
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Location to search in. JSON field name: `location`"
          },
          "distance": {
            "title": "Distance (Search Radius)",
            "enum": [
              "",
              "5",
              "10",
              "15",
              "25",
              "50"
            ],
            "type": "string",
            "description": "Search radius from the location in miles. Leave empty for default. JSON field name: `distance`",
            "default": ""
          },
          "publishedAt": {
            "title": "Published At",
            "enum": [
              "",
              "r86400",
              "r604800",
              "r2592000"
            ],
            "type": "string",
            "description": "How old publications should be in Days. Default is ANY. JSON field name: `publishedAt``",
            "default": ""
          },
          "jobType": {
            "title": "Job Type",
            "uniqueItems": true,
            "type": "array",
            "description": "Filter by job type (Full-time, Part-time, Contract, etc.). Multiple selections allowed. JSON field name: `jobType`",
            "items": {
              "type": "string",
              "enum": [
                "full-time",
                "part-time",
                "contract",
                "temporary",
                "internship"
              ]
            }
          },
          "experienceLevel": {
            "title": "Experience Level",
            "uniqueItems": true,
            "type": "array",
            "description": "Filter by experience level. Multiple selections allowed. JSON field name: `experienceLevel`",
            "items": {
              "type": "string",
              "enum": [
                "internship",
                "entry-level",
                "associate",
                "mid-senior",
                "director"
              ]
            }
          },
          "workType": {
            "title": "Work Type",
            "uniqueItems": true,
            "type": "array",
            "description": "Filter by work location type (On-site, Remote, Hybrid). Multiple selections allowed. JSON field name: `workType`",
            "items": {
              "type": "string",
              "enum": [
                "on-site",
                "remote",
                "hybrid"
              ]
            }
          },
          "salaryBase": {
            "title": "Minimum Salary",
            "enum": [
              "",
              "40000",
              "60000",
              "80000",
              "100000",
              "120000"
            ],
            "type": "string",
            "description": "Filter by minimum salary. Only one value allowed. JSON field name: `salaryBase`"
          },
          "maxItems": {
            "title": "Maximum Results",
            "minimum": 150,
            "type": "integer",
            "description": "Maximum number of job listings to scrape. Leave empty for no limit. Note: Minimum is 150 results when using pay-per-result billing. JSON field name: `maxItems`"
          },
          "saveOnlyUniqueItems": {
            "title": "Save Only Unique Items",
            "type": "boolean",
            "description": "If enabled, only unique items will be saved. Default is false. JSON field name: `saveOnlyUniqueItems`",
            "default": false
          },
          "enrichCompanyData": {
            "title": "Enrich Company Data",
            "type": "boolean",
            "description": "When disabled, the scraper runs significantly faster by skipping additional company page requests. When enabled, the scraper fetches extra company details including: company description, full address (street, city, region, postal code, country), employee count, and company website. Default is disabled for optimal performance. JSON field name: `enrichCompanyData`",
            "default": false
          },
          "resumeKeywords": {
            "title": "🎯 Profile Match — Your Resume / CV Skills",
            "type": "array",
            "description": "⚠️ **This is NOT a search filter** — it does not change which jobs LinkedIn returns to you.\n\nThis is a **profile matching tool** for smarter job hunting. Paste the skills from your resume/CV here, and the scraper will automatically score every job description against your profile. Instead of reading through dozens of postings, you instantly see which jobs you're actually qualified for — and can skip the rest entirely.\n\nEach entry has a required `keyword` and an optional `aliases` array for abbreviations or alternate names (e.g. `JavaScript` → `JS`, `Kubernetes` → `K8s`).\n\n**Format:** `[{\"keyword\": \"JavaScript\", \"aliases\": [\"JS\"]}, {\"keyword\": \"Python\"}]`\n\nWhen provided, each job in the output will include three extra fields:\n- `matchedKeywords` — which of your skills were found in the job description\n- `unmatchedKeywords` — which of your skills were NOT found\n- `keywordMatchScorePercentage` — percentage of your skills found (0–100). Example: 3 out of 5 matched = **60**\n\n🤖 **Let an AI extract skills from your resume automatically (outputs JSON ready to paste here):**\n- [Open ChatGPT with prompt](https://chatgpt.com/?q=Extract+skills+and+keywords+from+my+CV+for+job+matching.+Add+common+abbreviations+as+aliases.+Output+ONLY+a+raw+JSON+array+with+no+explanation+or+markdown%2C+using+this+format%3A+%5B%7B%22keyword%22%3A%22JavaScript%22%2C%22aliases%22%3A%5B%22JS%22%5D%7D%2C%7B%22keyword%22%3A%22Python%22%7D%5D.+I+will+paste+my+CV+after+this+message.) *(no login needed)*\n- [Open Claude with prompt](https://claude.ai/new?q=Extract+skills+and+keywords+from+my+CV+for+job+matching.+Add+common+abbreviations+as+aliases.+Output+ONLY+a+raw+JSON+array+with+no+explanation+or+markdown%2C+using+this+format%3A+%5B%7B%22keyword%22%3A%22JavaScript%22%2C%22aliases%22%3A%5B%22JS%22%5D%7D%2C%7B%22keyword%22%3A%22Python%22%7D%5D.+I+will+paste+my+CV+after+this+message.) *(login required)*"
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
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                "type": "string"
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              "userId": {
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              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
                "type": "string",
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              "status": {
                "type": "string",
                "example": "READY"
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              "meta": {
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                "properties": {
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                    "type": "string",
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                  "userAgent": {
                    "type": "string"
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                }
              },
              "stats": {
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                "properties": {
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                    "example": 0
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                  "timeoutSecs": {
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              "defaultKeyValueStoreId": {
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              "containerUrl": {
                "type": "string"
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              "usage": {
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                    "type": "integer",
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