{ "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Scraper", "description": "Scrape LinkedIn job postings to CSV, Excel or JSON: title, company, location, exact posting date and link. From $0.60 per 1,000 jobs. Descriptions, employment type, seniority and salary on request. Monitor and track new postings, or find remote roles and who is hiring in your city. No account.", "version": "0.1", "x-build-id": "SbU3xi8sTnkxyEgfL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lightmoon~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lightmoon-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lightmoon~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-lightmoon-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lightmoon~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-lightmoon-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searches" ], "properties": { "searches": { "title": "Searches", "type": "array", "description": "One per line. Either a phrase (`python developer`) or a LinkedIn jobs search URL copied from your browser (`https://www.linkedin.com/jobs/search?keywords=...&location=...`). A pasted URL keeps its own location and date filter.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "A city, region or country, written the way LinkedIn writes it: `Berlin, Germany`, `United States`, `Greater London`. Applied to every search that does not carry its own. LinkedIn matches this literally, so a misspelt city returns nothing rather than a near match." }, "postedWithin": { "title": "Posted within", "enum": [ "any", "past24Hours", "pastWeek", "pastMonth" ], "type": "string", "description": "Applied by LinkedIn before anything is fetched, so a narrow window costs a few requests instead of the whole market. Leave at Any time to read everything the search returns.", "default": "any" }, "maxJobs": { "title": "Maximum jobs in total", "minimum": 0, "type": "integer", "description": "Across all searches. 0 means no limit. Free-plan runs are capped by your own Apify usage, so start small.", "default": 100 }, "maxJobsPerSearch": { "title": "Maximum per search", "minimum": 0, "type": "integer", "description": "How deep to read one search before moving to the next. 0 means no limit. LinkedIn's public job search runs out somewhere past 400–500 results per search, so a whole market is collected by splitting it across cities or job titles rather than by asking for more here.", "default": 1000 }, "includeDescriptions": { "title": "Include the full job description", "type": "boolean", "description": "Fetches each job's own page and adds the description, employment type, seniority level, job function, industries and how many people have applied. This is a second request per job and about ten times the data, so it is charged as its own event — leave it off for a plain job list.", "default": false }, "includeDescriptionHtml": { "title": "Also keep the description as HTML", "type": "boolean", "description": "Keeps the original formatting — headings, bullet lists, links — alongside the plain text. Roughly doubles the size of each row.", "default": false }, "employmentTypes": { "title": "Employment type", "type": "array", "description": "Filtered by this actor from each job's own page, because LinkedIn's logged-out search accepts this filter and does not apply it. Selecting anything here turns on job descriptions. Jobs that do not match are never charged for.", "items": { "type": "string", "enum": [ "Full-time", "Part-time", "Contract", "Temporary", "Volunteer", "Internship", "Other" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Volunteer", "Internship", "Other" ] } }, "seniorityLevels": { "title": "Seniority level", "type": "array", "description": "Also read from each job's own page, and also not applied by LinkedIn's logged-out search. Selecting anything here turns on job descriptions.", "items": { "type": "string", "enum": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive", "Not Applicable" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive", "Not applicable" ] } }, "titleMustContain": { "title": "Job title must contain", "type": "string", "description": "Checked against the job title before anything else is fetched, so a job it drops costs you nothing at all." }, "excludeTitles": { "title": "Skip job titles containing", "type": "array", "description": "One word or phrase per line. Useful for cutting out the roles a broad keyword drags in — `intern`, `sales`, `manager`.", "items": { "type": "string" } }, "postedAfter": { "title": "Posted on or after", "type": "string", "description": "`2026-08-01`, or a full timestamp. Every job carries an exact posting date, so this window is precise rather than approximate." }, "postedBefore": { "title": "Posted on or before", "type": "string", "description": "`2026-08-15`, or a full timestamp. Use with the field above to take one week out of the middle of a market." }, "includeTotalCount": { "title": "Report how many jobs match in total", "type": "boolean", "description": "Asks LinkedIn how large the whole result set is (`11,000+`) and records it in the run summary, so you can tell a search that is too broad from one that is too narrow. One extra request per search, never charged.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "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", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "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" }, "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": { "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": "number", "example": 0.00005 }, "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 } } } } } } } } } }