Enhance job search parser with LinkedIn strategy and configuration updates

- Added LinkedIn jobs parsing strategy to support job extraction from LinkedIn.
- Updated job search parser to include new site strategy and improved argument parsing for max pages and exclusion of rejected results.
- Enhanced README documentation to reflect new features and usage examples.
- Refactored existing strategies for consistency and improved error handling.
This commit is contained in:
tanyar09 2025-12-16 23:17:12 -05:00
parent bbfd3c84aa
commit 4099b23744
8 changed files with 2431 additions and 888 deletions

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@ -62,3 +62,5 @@ class CoreParser {
module.exports = CoreParser; module.exports = CoreParser;

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@ -60,13 +60,48 @@ JOB_TYPES="full time,contract" node index.js --sites=skipthedrive
node index.js --sites=skipthedrive --demo node index.js --sites=skipthedrive --demo
``` ```
#### LinkedIn Jobs Parser
Professional network job postings with comprehensive job data.
**Features:**
- LinkedIn authentication support
- Keyword-based job search
- Location filtering (both LinkedIn location and post-extraction filter)
- Multi-page result parsing with pagination
- Job type and experience level extraction
- Automatic duplicate detection
- Infinite scroll handling
**Requirements:**
- LinkedIn credentials (username and password) must be set in `.env` file:
```env
LINKEDIN_USERNAME=tatiana.litvak25@gmail.com
LINKEDIN_PASSWORD=Sladkiy99(
LINKEDIN_JOB_LOCATION=Canada # Optional: LinkedIn location filter
```
**Usage:**
```bash
# Search LinkedIn jobs
node index.js --sites=linkedin --keywords="software engineer,developer"
# Search with location filter
node index.js --sites=linkedin --keywords="co-op" --location="Ontario"
# Combine multiple sites
node index.js --sites=linkedin,skipthedrive --keywords="intern,co-op"
```
### 🚧 Planned Parsers ### 🚧 Planned Parsers
- **Indeed**: Comprehensive job aggregator - **Indeed**: Comprehensive job aggregator
- **Glassdoor**: Jobs with company reviews and salary data - **Glassdoor**: Jobs with company reviews and salary data
- **Monster**: Traditional job board - **Monster**: Traditional job board
- **SimplyHired**: Job aggregator with salary estimates - **SimplyHired**: Job aggregator with salary estimates
- **LinkedIn Jobs**: Professional network job postings
- **AngelList**: Startup and tech jobs - **AngelList**: Startup and tech jobs
- **Remote.co**: Dedicated remote work jobs - **Remote.co**: Dedicated remote work jobs
- **FlexJobs**: Flexible and remote positions - **FlexJobs**: Flexible and remote positions
@ -92,23 +127,21 @@ Create a `.env` file in the parser directory:
```env ```env
# Job Search Configuration # Job Search Configuration
SEARCH_SOURCES=linkedin,indeed,glassdoor SEARCH_KEYWORDS=software engineer,developer,programmer
TARGET_ROLES=software engineer,data scientist,product manager LOCATION_FILTER=Ontario,Canada
LOCATION_FILTER=Toronto,Vancouver,Calgary MAX_PAGES=5
EXPERIENCE_LEVELS=entry,mid,senior
REMOTE_PREFERENCE=remote,hybrid,onsite # LinkedIn Configuration (required for LinkedIn jobs)
LINKEDIN_USERNAME=your_email@example.com
LINKEDIN_PASSWORD=your_password
LINKEDIN_JOB_LOCATION=Canada # Optional: LinkedIn location search
# Analysis Configuration # Analysis Configuration
ENABLE_SALARY_ANALYSIS=true ENABLE_AI_ANALYSIS=false
ENABLE_SKILL_ANALYSIS=true HEADLESS=true
ENABLE_TREND_ANALYSIS=true
MIN_SALARY=50000
MAX_SALARY=200000
# Output Configuration # Output Configuration
OUTPUT_FORMAT=json,csv OUTPUT_FORMAT=json
SAVE_RAW_DATA=true
ANALYSIS_INTERVAL=daily
``` ```
### Command Line Options ### Command Line Options

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@ -10,6 +10,7 @@ const path = require("path");
const fs = require("fs"); const fs = require("fs");
const CoreParser = require("../core-parser"); const CoreParser = require("../core-parser");
const { skipthedriveStrategy } = require("./strategies/skipthedrive-strategy"); const { skipthedriveStrategy } = require("./strategies/skipthedrive-strategy");
const { linkedinJobsStrategy } = require("./strategies/linkedin-jobs-strategy");
const { logger, analyzeBatch, checkOllamaStatus } = require("ai-analyzer"); const { logger, analyzeBatch, checkOllamaStatus } = require("ai-analyzer");
// Load environment variables // Load environment variables
@ -18,14 +19,16 @@ require("dotenv").config({ path: path.join(__dirname, ".env") });
// Configuration from environment // Configuration from environment
const HEADLESS = process.env.HEADLESS !== "false"; const HEADLESS = process.env.HEADLESS !== "false";
const SEARCH_KEYWORDS = const SEARCH_KEYWORDS =
process.env.SEARCH_KEYWORDS || "software engineer,developer,programmer"; process.env.SEARCH_KEYWORDS || "co-op,intern";//"software engineer,developer,programmer";
const LOCATION_FILTER = process.env.LOCATION_FILTER; const LOCATION_FILTER = process.env.LOCATION_FILTER;
const ENABLE_AI_ANALYSIS = process.env.ENABLE_AI_ANALYSIS === "true"; const ENABLE_AI_ANALYSIS = process.env.ENABLE_AI_ANALYSIS === "true";
const MAX_PAGES = parseInt(process.env.MAX_PAGES) || 5; const MAX_PAGES = parseInt(process.env.MAX_PAGES) || 5;
const EXCLUDE_REJECTED = process.env.EXCLUDE_REJECTED === "true";
// Available site strategies // Available site strategies
const SITE_STRATEGIES = { const SITE_STRATEGIES = {
skipthedrive: skipthedriveStrategy, skipthedrive: skipthedriveStrategy,
linkedin: linkedinJobsStrategy,
// Add more site strategies here // Add more site strategies here
// indeed: indeedStrategy, // indeed: indeedStrategy,
// glassdoor: glassdoorStrategy, // glassdoor: glassdoorStrategy,
@ -41,6 +44,7 @@ function parseArguments() {
keywords: null, keywords: null,
locationFilter: null, locationFilter: null,
maxPages: MAX_PAGES, maxPages: MAX_PAGES,
excludeRejected: EXCLUDE_REJECTED,
}; };
args.forEach((arg) => { args.forEach((arg) => {
@ -57,7 +61,15 @@ function parseArguments() {
} else if (arg.startsWith("--location=")) { } else if (arg.startsWith("--location=")) {
options.locationFilter = arg.split("=")[1]; options.locationFilter = arg.split("=")[1];
} else if (arg.startsWith("--max-pages=")) { } else if (arg.startsWith("--max-pages=")) {
options.maxPages = parseInt(arg.split("=")[1]) || MAX_PAGES; const value = arg.split("=")[1];
// Support "all" or "0" to mean unlimited pages
if (value === "all" || value === "0") {
options.maxPages = 0; // 0 means unlimited
} else {
options.maxPages = parseInt(value) || MAX_PAGES;
}
} else if (arg === "--no-rejected" || arg === "--exclude-rejected") {
options.excludeRejected = true;
} }
}); });
@ -84,6 +96,7 @@ async function startJobSearchParser(options = {}) {
finalOptions.keywords || SEARCH_KEYWORDS.split(",").map((k) => k.trim()); finalOptions.keywords || SEARCH_KEYWORDS.split(",").map((k) => k.trim());
const locationFilter = finalOptions.locationFilter || LOCATION_FILTER; const locationFilter = finalOptions.locationFilter || LOCATION_FILTER;
const sites = finalOptions.sites; const sites = finalOptions.sites;
const excludeRejected = finalOptions.excludeRejected !== undefined ? finalOptions.excludeRejected : EXCLUDE_REJECTED;
logger.info(`📦 Selected job sites: ${sites.join(", ")}`); logger.info(`📦 Selected job sites: ${sites.join(", ")}`);
logger.info(`🔍 Search Keywords: ${keywords.join(", ")}`); logger.info(`🔍 Search Keywords: ${keywords.join(", ")}`);
@ -108,18 +121,46 @@ async function startJobSearchParser(options = {}) {
logger.step(`\n🌐 Parsing ${site}...`); logger.step(`\n🌐 Parsing ${site}...`);
const startTime = Date.now(); const startTime = Date.now();
const parseResult = await strategy(coreParser, { // Prepare strategy options
const strategyOptions = {
keywords, keywords,
locationFilter, locationFilter,
maxPages: finalOptions.maxPages, maxPages: finalOptions.maxPages,
}); };
// Add credentials for LinkedIn
if (site === "linkedin") {
const LINKEDIN_USERNAME = process.env.LINKEDIN_USERNAME;
const LINKEDIN_PASSWORD = process.env.LINKEDIN_PASSWORD;
if (!LINKEDIN_USERNAME || !LINKEDIN_PASSWORD) {
logger.error(`❌ LinkedIn credentials not found. Please set LINKEDIN_USERNAME and LINKEDIN_PASSWORD in .env file`);
siteResults[site] = {
count: 0,
rejected: 0,
duration: "0s",
error: "LinkedIn credentials not found",
};
continue;
}
strategyOptions.credentials = {
username: LINKEDIN_USERNAME,
password: LINKEDIN_PASSWORD,
};
strategyOptions.location = process.env.LINKEDIN_JOB_LOCATION || "";
}
const parseResult = await strategy(coreParser, strategyOptions);
const { results, rejectedResults, summary } = parseResult; const { results, rejectedResults, summary } = parseResult;
const duration = ((Date.now() - startTime) / 1000).toFixed(2); const duration = ((Date.now() - startTime) / 1000).toFixed(2);
// Collect results // Collect results
logger.info(`📦 Strategy returned: ${results.length} results, ${rejectedResults.length} rejected`);
allResults.push(...results); allResults.push(...results);
allRejectedResults.push(...rejectedResults); allRejectedResults.push(...rejectedResults);
logger.info(`📦 Total accumulated: ${allResults.length} results, ${allRejectedResults.length} rejected`);
siteResults[site] = { siteResults[site] = {
count: results.length, count: results.length,
@ -162,6 +203,9 @@ async function startJobSearchParser(options = {}) {
} }
// Save results // Save results
logger.info(`💾 Preparing to save: ${allResults.length} results, ${allRejectedResults.length} rejected`);
logger.info(`💾 EXCLUDE_REJECTED env: ${process.env.EXCLUDE_REJECTED}, excludeRejected variable: ${excludeRejected}`);
const outputData = { const outputData = {
metadata: { metadata: {
extractedAt: new Date().toISOString(), extractedAt: new Date().toISOString(),
@ -171,12 +215,22 @@ async function startJobSearchParser(options = {}) {
keywords: keywords.join(", "), keywords: keywords.join(", "),
locationFilter, locationFilter,
analysisResults, analysisResults,
rejectedJobsExcluded: excludeRejected,
}, },
results: allResults, results: allResults,
rejectedResults: allRejectedResults,
siteResults, siteResults,
}; };
// Always include rejectedResults if not excluded (make it explicit, not using spread)
if (!excludeRejected) {
outputData.rejectedResults = allRejectedResults;
logger.info(`✅ Including ${allRejectedResults.length} rejected results in output`);
} else {
logger.info(`⏭️ Excluding rejected results (EXCLUDE_REJECTED=true)`);
}
logger.info(`💾 Final output: ${outputData.results.length} results, ${outputData.rejectedResults?.length || 0} rejected`);
const resultsDir = path.join(__dirname, "results"); const resultsDir = path.join(__dirname, "results");
if (!fs.existsSync(resultsDir)) { if (!fs.existsSync(resultsDir)) {
fs.mkdirSync(resultsDir, { recursive: true }); fs.mkdirSync(resultsDir, { recursive: true });

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@ -67,14 +67,11 @@ async function skipthedriveStrategy(coreParser, options = {}) {
}); });
// Wait for job listings to load // Wait for job listings to load
const hasResults = await coreParser const hasResults = await page
.waitForSelector( .waitForSelector("#loops-wrapper", {
"#loops-wrapper", timeout: 5000,
{ })
timeout: 5000, .then(() => true)
},
"skipthedrive-main"
)
.catch(() => { .catch(() => {
logger.warning(`No results found for keyword: ${keyword}`); logger.warning(`No results found for keyword: ${keyword}`);
return false; return false;

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@ -31,12 +31,13 @@ const LINKEDIN_USERNAME = process.env.LINKEDIN_USERNAME;
const LINKEDIN_PASSWORD = process.env.LINKEDIN_PASSWORD; const LINKEDIN_PASSWORD = process.env.LINKEDIN_PASSWORD;
const HEADLESS = process.env.HEADLESS !== "false"; const HEADLESS = process.env.HEADLESS !== "false";
const SEARCH_KEYWORDS = const SEARCH_KEYWORDS =
process.env.SEARCH_KEYWORDS || "layoff,downsizing";//,job cuts"; process.env.SEARCH_KEYWORDS || "layoff";//,downsizing";//,job cuts";
const LOCATION_FILTER = process.env.LOCATION_FILTER; const LOCATION_FILTER = process.env.LOCATION_FILTER;
const ENABLE_AI_ANALYSIS = process.env.ENABLE_AI_ANALYSIS !== "false"; const ENABLE_AI_ANALYSIS = process.env.ENABLE_AI_ANALYSIS !== "false";
const AI_CONTEXT = process.env.AI_CONTEXT || "job market analysis and trends"; const AI_CONTEXT = process.env.AI_CONTEXT || "job market analysis and trends";
const OLLAMA_MODEL = process.env.OLLAMA_MODEL || DEFAULT_MODEL; const OLLAMA_MODEL = process.env.OLLAMA_MODEL || DEFAULT_MODEL;
const MAX_RESULTS = parseInt(process.env.MAX_RESULTS) || 50; const MAX_RESULTS = parseInt(process.env.MAX_RESULTS) || 50;
const EXTRACT_LOCATION_FROM_PROFILE = process.env.EXTRACT_LOCATION_FROM_PROFILE === "true";
/** /**
* Main LinkedIn parser function * Main LinkedIn parser function
@ -71,6 +72,7 @@ async function startLinkedInParser(options = {}) {
keywords, keywords,
locationFilter: LOCATION_FILTER, locationFilter: LOCATION_FILTER,
maxResults: MAX_RESULTS, maxResults: MAX_RESULTS,
extractLocationFromProfile: EXTRACT_LOCATION_FROM_PROFILE,
credentials: { credentials: {
username: LINKEDIN_USERNAME, username: LINKEDIN_USERNAME,
password: LINKEDIN_PASSWORD, password: LINKEDIN_PASSWORD,

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@ -21,6 +21,7 @@ async function linkedinStrategy(coreParser, options = {}) {
keywords = ["layoff", "downsizing", "job cuts"], keywords = ["layoff", "downsizing", "job cuts"],
locationFilter = null, locationFilter = null,
maxResults = 50, maxResults = 50,
extractLocationFromProfile = false,
credentials = {}, credentials = {},
} = options; } = options;
@ -106,7 +107,7 @@ async function linkedinStrategy(coreParser, options = {}) {
} }
// Extract posts from current page // Extract posts from current page
const posts = await extractPostsFromPage(page, keyword); const posts = await extractPostsFromPage(page, keyword, extractLocationFromProfile);
logger.info(`📊 Found ${posts.length} posts for keyword "${keyword}"`); logger.info(`📊 Found ${posts.length} posts for keyword "${keyword}"`);
for (const post of posts) { for (const post of posts) {
@ -172,7 +173,7 @@ async function linkedinStrategy(coreParser, options = {}) {
/** /**
* Extract posts from current search results page * Extract posts from current search results page
*/ */
async function extractPostsFromPage(page, keyword) { async function extractPostsFromPage(page, keyword, extractLocationFromProfile = false) {
const posts = []; const posts = [];
try { try {
@ -254,10 +255,26 @@ async function extractPostsFromPage(page, keyword) {
const post = await extractPostData(postElements[i], keyword); const post = await extractPostData(postElements[i], keyword);
if (post) { if (post) {
// If location is missing and we're enabled to extract from profile, try to get it
if (!post.location && extractLocationFromProfile && post.authorUrl) {
try {
logger.debug(`📍 Location missing for post ${i + 1}, attempting to extract from profile...`);
const profileLocation = await extractLocationFromProfilePage(page, post.authorUrl);
if (profileLocation) {
post.location = profileLocation;
post.profileLocation = profileLocation;
logger.debug(`✅ Extracted location from profile: ${profileLocation}`);
}
} catch (error) {
logger.debug(`⚠️ Could not extract location from profile: ${error.message}`);
}
}
posts.push(post); posts.push(post);
const hasContent = post.content && post.content.length > 0; const hasContent = post.content && post.content.length > 0;
const hasAuthor = post.authorName && post.authorName.length > 0; const hasAuthor = post.authorName && post.authorName.length > 0;
logger.debug(`✅ Extracted post ${i + 1}/${postElements.length}: ${post.postId.substring(0, 20)}... (content: ${hasContent ? 'yes' : 'no'}, author: ${hasAuthor ? 'yes' : 'no'})`); const hasLocation = post.location && post.location.length > 0;
logger.debug(`✅ Extracted post ${i + 1}/${postElements.length}: ${post.postId.substring(0, 20)}... (content: ${hasContent ? 'yes' : 'no'}, author: ${hasAuthor ? 'yes' : 'no'}, location: ${hasLocation ? 'yes' : 'no'})`);
} else { } else {
logger.debug(`⏭️ Post ${i + 1}/${postElements.length} filtered out (no keyword match or missing data)`); logger.debug(`⏭️ Post ${i + 1}/${postElements.length} filtered out (no keyword match or missing data)`);
} }
@ -627,6 +644,42 @@ async function extractPostData(postElement, keyword) {
} }
} }
// Try to extract from data attributes or hidden elements
if (!data.location) {
// Check for data attributes that might contain location
const actorSection = el.querySelector(".feed-shared-actor");
if (actorSection) {
// Check all data attributes
for (const attr of actorSection.attributes) {
if (attr.name.startsWith("data-") && attr.value) {
const value = attr.value.toLowerCase();
// Look for location-like patterns in data attributes
if (/(ontario|alberta|british columbia|quebec|toronto|vancouver|calgary|ottawa|montreal)/i.test(value)) {
// Try to extract the actual location text
const locationMatch = attr.value.match(/([A-Z][a-z]+(?:\s+[A-Z][a-z]+)*,\s*[A-Z][a-z]+)/);
if (locationMatch) {
data.location = locationMatch[0];
break;
}
}
}
}
// Check for hidden spans or divs with location info
const hiddenElements = actorSection.querySelectorAll("span[style*='display: none'], div[style*='display: none'], [aria-hidden='true']");
for (const hiddenElem of hiddenElements) {
const text = hiddenElem.textContent || hiddenElem.getAttribute("aria-label") || "";
if (text && /(ontario|alberta|british columbia|quebec|toronto|vancouver)/i.test(text)) {
const locationMatch = text.match(/([A-Z][a-z]+(?:\s+[A-Z][a-z]+)*,\s*[A-Z][a-z]+)/);
if (locationMatch) {
data.location = locationMatch[0].trim();
break;
}
}
}
}
}
// Extract engagement metrics - try multiple approaches // Extract engagement metrics - try multiple approaches
const likesSelectors = [ const likesSelectors = [
".social-counts-reactions__count", ".social-counts-reactions__count",
@ -799,6 +852,48 @@ async function extractPostData(postElement, keyword) {
} }
} }
/**
* Extract location from a LinkedIn profile page
*/
async function extractLocationFromProfilePage(page, profileUrl) {
try {
// Ensure URL is complete
let fullUrl = profileUrl;
if (!fullUrl.startsWith("http")) {
fullUrl = `https://www.linkedin.com${fullUrl}`;
}
// Remove query parameters that might cause issues
fullUrl = fullUrl.split("?")[0];
// Open profile in new tab
const profilePage = await page.context().newPage();
try {
await profilePage.goto(fullUrl, {
waitUntil: "domcontentloaded",
timeout: 15000,
});
// Wait a bit for content to load
await new Promise(resolve => setTimeout(resolve, 2000));
// Use the extractLocationFromProfile utility from ai-analyzer
const location = await extractLocationFromProfile(profilePage);
await profilePage.close();
return location;
} catch (error) {
await profilePage.close();
throw error;
}
} catch (error) {
logger.debug(`Failed to extract location from profile ${profileUrl}: ${error.message}`);
return "";
}
}
/** /**
* Extract numbers from text (e.g., "15 likes" -> 15) * Extract numbers from text (e.g., "15 likes" -> 15)
*/ */