Pricing

from $0.85 / 1,000 job listings

All-in one Linkedin Scraper

LinkedIn scraper — NO COOKIES NEEDED. 7 scraping modes:Profiles, Companies,Jobs,Posts,Search,Search_profile, Profile Complete. Zero risk to your LinkedIn account. Multi-source search engine for maximum reliability. Pay per result from $1/1K. Apify subscription discounts. MCP-compatible for AI agents

Pricing

from $0.85 / 1,000 job listings

Rating

0.0

(0)

Developer

Japi Cricket

Actor stats

Bookmarked

140

Total users

Monthly active users

2.1 days

Issues response

22 minutes ago

Last modified

Categories

Lead generation

MCP servers

Agents

You can access the All-in one Linkedin Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "properties": {
          "mode": {
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            "enum": [
              "profiles",
              "companies",
              "jobs",
              "posts",
              "search",
              "search_profiles",
              "profile_complete",
              "company_employees",
              "monitor"
            ],
            "type": "string",
            "description": "What to scrape — all modes work WITHOUT cookies. 'profiles' = profile data (14 fields). 'companies' = company pages (15 fields). 'jobs' = job search with filters (18 fields). 'posts' = posts with engagement + hashtags (14 fields). 'search' = find profiles by keywords via 3-engine parallel SERP (9 fields). 'search_profiles' = search by name + full enrichment (14+ fields). 'profile_complete' = profile + posts + engagement score ($5/1K). 'company_employees' = find people at a company ($2.50/1K). All modes use SERP caching (24h) + profile caching (24h).",
            "default": "profiles"
          },
          "urls": {
            "title": "LinkedIn URLs",
            "type": "array",
            "description": "LinkedIn URLs to scrape. Profiles: /in/username. Companies: /company/name. Posts: profile or company URLs. Profile Complete: /in/username. Not needed for Jobs or Search modes (use Search Query instead).",
            "items": {
              "type": "string"
            }
          },
          "searchQuery": {
            "title": "Search Query",
            "type": "string",
            "description": "Search keywords (for Jobs, Search, and Search Profiles modes). For Search Profiles: enter a person's name (e.g., 'Sunny Savita') to find and fully scrape all matching LinkedIn profiles. Examples: 'software engineer', 'Sunny Savita', 'Naveen Jain'."
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Location filter for Jobs and Search modes. Examples: 'San Francisco', 'United States', 'London, UK'."
          },
          "maxResults": {
            "title": "Max Results",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum number of results to return. Default: 25.",
            "default": 25
          },
          "timePosted": {
            "title": "Time Posted",
            "enum": [
              "24h",
              "week",
              "month"
            ],
            "type": "string",
            "description": "Filter jobs by when they were posted."
          },
          "jobType": {
            "title": "Job Type",
            "enum": [
              "full-time",
              "part-time",
              "contract",
              "temporary",
              "volunteer",
              "internship"
            ],
            "type": "string",
            "description": "Filter by job type."
          },
          "experienceLevel": {
            "title": "Experience Level",
            "enum": [
              "internship",
              "entry",
              "associate",
              "mid-senior",
              "director",
              "executive"
            ],
            "type": "string",
            "description": "Filter by experience level."
          },
          "workType": {
            "title": "Work Type",
            "enum": [
              "onsite",
              "remote",
              "hybrid"
            ],
            "type": "string",
            "description": "Filter by work arrangement."
          },
          "discoverEmails": {
            "title": "Discover Emails",
            "type": "boolean",
            "description": "Try to find email addresses for profiles by scraping employer websites and generating email patterns. Adds ~2-4 seconds per profile. Works for Profiles, Search Profiles, and Profile Complete modes.",
            "default": true
          },
          "hunterApiKey": {
            "title": "Hunter.io API Key (Premium — Optional)",
            "type": "string",
            "description": "Optional Hunter.io API key for premium email verification. When provided, guessed emails are verified via Hunter.io's Email Verifier API ($0.01/verification). Get your API key at hunter.io/api. Without this, emails are verified via free MX record checks only."
          },
          "proxyConfig": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Proxy settings. Residential proxies required for LinkedIn.",
            "default": {
              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ]
            }
          },
          "minDelay": {
            "title": "Min Delay (ms)",
            "minimum": 500,
            "maximum": 30000,
            "type": "integer",
            "description": "Minimum delay between requests in milliseconds.",
            "default": 2000
          },
          "maxDelay": {
            "title": "Max Delay (ms)",
            "minimum": 1000,
            "maximum": 60000,
            "type": "integer",
            "description": "Maximum delay between requests in milliseconds.",
            "default": 5000
          },
          "cookie": {
            "title": "LinkedIn Cookie (Optional — Unlocks Richer Data)",
            "type": "string",
            "description": "Paste your li_at cookie here to unlock enhanced data. Without cookie, all 8 modes work fine using search engines. With cookie, you get:\n\n• Profiles: +experience, education, skills, certifications, languages (5x more fields)\n• Company Employees: 1000+ employees instead of ~10-20\n• Search Profiles: better discovery + richer enrichment\n• Profile Complete: full about section + structured posts\n\nHow to get your li_at cookie: Open LinkedIn in Chrome → F12 → Application → Cookies → linkedin.com → copy the 'li_at' value.\n\nLeave empty for cookie-free mode (zero risk to your account)."
          },
          "urlsFileUrl": {
            "title": "URLs File (Batch Input)",
            "type": "string",
            "description": "URL to a text or CSV file containing LinkedIn URLs (one per line). Use this for batch runs with 100+ URLs instead of pasting them manually. Supports plain text (.txt) and CSV files. Lines starting with # are ignored."
          },
          "alertEmail": {
            "title": "Alert Email (Monitor Mode)",
            "type": "string",
            "description": "Email address for health check alerts. Used in monitor mode — receives alerts when runs fail or return empty results."
          },
          "webhookUrl": {
            "title": "Webhook URL (Optional)",
            "type": "string",
            "description": "URL to receive a POST request when the scraper finishes. The webhook payload includes: mode, itemCount, datasetId, runId, status. Useful for large batch runs — get notified when results are ready instead of polling."
          },
          "linkedinCookies": {
            "title": "LinkedIn Cookies (Admin Only)",
            "type": "array",
            "description": "Internal use only. Leave empty.",
            "items": {
              "type": "string"
            }
          }
        }
      },
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        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
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                    "type": "integer",
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                  "computeUnits": {
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                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
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              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
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                    "example": 0
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                  },
                  "DATASET_WRITES": {
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                  },
                  "KEY_VALUE_STORE_READS": {
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                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
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                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
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                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
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                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
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                  "PROXY_SERPS": {
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}

All-in one Linkedin Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for All-in one Linkedin Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

All-in one Linkedin Scraper API in Python

All-in one Linkedin Scraper API in JavaScript

All-in one Linkedin Scraper API through CLI

All-in one Linkedin Scraper API

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