All notable changes to the LinkedIn Jobs Scraper Actor will be documented in this file.
The format is based on Keep a Changelog ,
and this project adheres to Semantic Versioning .
LinkedIn Jobs Scraper : Complete rewrite to scrape LinkedIn instead of InfoJobsTechnology extraction : Automatic detection of 400+ technologies including programming languages, frameworks, cloud platforms, and toolsInput validation with Zod schemas : All input parameters validated using Zod for type safetyOutput validation : All scraped jobs validated before being pushed to the datasetGraceful abort handling : Actor handles the abortingRetry logic : Retry logic with backoff for failed requestsRate limiting : Configurable delays between requests to avoid blockingDataset schema : Organized dataset output schema with table viewDocumentation : README.md and TECH.md for comprehensive documentationAPI Filters : Support for LinkedIn API filters:
Work Model (remote, hybrid, onsite)
Job Type (full-time, part-time, contract, temporary, volunteer, internship)
Experience Level (internship, entry, associate, mid-senior, director, executive)
Time Posted (past_24_hours, past_week, past_month)
Salary (40k-200k USD, only works for some locations)
Company ID
Package name : Changed from infojobs-actorlinkedin-jobs-actorDescription : Updated to reflect LinkedIn scrapingActor name : Changed to linkedin-jobs-actorRuntime : Uses Cheerio instead of Playwright for faster HTML parsingArchitecture : Refactored with better SOLID principles and separated concerns
Infojobs scraper : Removed InfojobsScraper and related codeJobParser (Infojobs) : Removed Infojobs-specific JobParserProvince IDs : Removed Spanish province ID mappings (not needed for LinkedIn)InfoJobs base URL : Replaced with LinkedIn base URLFull details mode : Removed fetchFullDetails option (basic mode only)Extended fields : Removed salary, experienceLevel, employmentType, applicants from output (not available in basic mode)workModel in output : Removed workModel from job output (filter only)
Dependencies : Using Bun runtime, Cheerio for HTML parsingProject structure : Organized into classes, schemas, constants, and utils directoriesLogging : Proper use of apify/logError handling : Improved with log.exception()Generated by : Updated to track actor generation source 
