Ofure Ikheloa
458e914d71
- Add config module for spoof data management - Implement session persistence to reuse authenticated sessions - Add feedback system to track success rates and adjust fingerprinting - Improve job link collection with pagination and scroll detection - Separate verified/unverified job listings into different folders - Enhance error handling for CAPTCHA and Cloudflare challenges
492 lines
22 KiB
Python
492 lines
22 KiB
Python
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import asyncio
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import random
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import sqlite3
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import os
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from datetime import datetime
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from typing import Optional, Dict
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from playwright.async_api import async_playwright
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from browserforge.injectors.playwright import AsyncNewContext
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class LinkedInJobScraper:
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def __init__(
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self,
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engine,
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db_path: str = "linkedin_jobs.db",
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human_speed: float = 1.0
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):
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self.engine = engine
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self.db_path = db_path
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self.human_speed = human_speed
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self._init_db()
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def _init_db(self):
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os.makedirs(os.path.dirname(self.db_path) if os.path.dirname(self.db_path) else ".", exist_ok=True)
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with sqlite3.connect(self.db_path) as conn:
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cursor = conn.cursor()
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS jobs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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keyword TEXT,
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title TEXT,
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company TEXT,
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location TEXT,
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salary TEXT,
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description TEXT,
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url TEXT UNIQUE,
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workplace_type TEXT,
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scraped_at DATETIME DEFAULT CURRENT_TIMESTAMP
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)
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''')
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conn.commit()
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async def _human_click(self, page, element, wait_after: bool = True):
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if not element:
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return False
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await element.scroll_into_view_if_needed()
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await asyncio.sleep(random.uniform(0.3, 0.8) * self.human_speed)
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try:
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await element.click()
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if wait_after:
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await asyncio.sleep(random.uniform(2, 4) * self.human_speed)
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return True
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except:
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return False
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async def _login(self, page, credentials: Dict) -> bool:
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"""Human-realistic LinkedIn login"""
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print("🔐 Navigating to LinkedIn login page...")
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await page.goto("https://www.linkedin.com/login", timeout=60000)
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await asyncio.sleep(random.uniform(2.0, 3.5) * self.human_speed)
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email_field = await page.query_selector('input[name="session_key"]')
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if not email_field:
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print("❌ Email field not found.")
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return False
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print("✍️ Typing username...")
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await email_field.click()
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await asyncio.sleep(random.uniform(0.4, 0.9) * self.human_speed)
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for char in credentials["email"]:
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await page.keyboard.type(char)
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await asyncio.sleep(random.uniform(0.06, 0.14) * self.human_speed)
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await asyncio.sleep(random.uniform(1.0, 1.8) * self.human_speed)
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password_field = await page.query_selector('input[name="session_password"]')
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if not password_field:
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print("❌ Password field not found.")
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return False
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print("🔒 Typing password...")
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await password_field.click()
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await asyncio.sleep(random.uniform(0.3, 0.7) * self.human_speed)
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for char in credentials["password"]:
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await page.keyboard.type(char)
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await asyncio.sleep(random.uniform(0.08, 0.16) * self.human_speed)
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await asyncio.sleep(random.uniform(0.8, 1.5) * self.human_speed)
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print("✅ Submitting login form...")
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await page.keyboard.press("Enter")
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for _ in range(15):
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current_url = page.url
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if "/feed" in current_url or "/jobs" in current_url:
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if "login" not in current_url:
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print("✅ Login successful!")
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await asyncio.sleep(random.uniform(2.0, 3.0) * self.human_speed)
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return True
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await asyncio.sleep(1)
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print("❌ Login may have failed.")
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return False
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async def _extract_job_details(self, page) -> Dict:
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"""Extract from ANY job page: LinkedIn Easy Apply OR external site"""
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await asyncio.sleep(2 * self.human_speed)
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async def get_text(selector: str) -> str:
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try:
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el = await page.query_selector(selector)
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if el:
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text = await el.inner_text()
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return text.strip() if text else "N/A"
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except:
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pass
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return "N/A"
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title = await get_text("h1.t-24")
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if title == "N/A":
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title = await get_text("h1, h2")
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company = await get_text("a.app-aware-link[href*='/company/']")
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if company == "N/A":
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company = await get_text("div.org, .company, [class*='company']")
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location = await get_text("span[class*='location']")
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if location == "N/A":
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location = await get_text(".location, [class*='location']")
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description = await get_text("div[class*='description__text']")
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if description == "N/A":
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description = await get_text(".job-desc, .description, main, body")
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workplace = await get_text("span.job-workplace-type") or "N/A"
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salary = await get_text("span.salary") or "N/A"
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return {
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"title": title,
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"company": company,
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"location": location,
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"workplace_type": workplace,
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"salary": salary,
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"description": description,
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"url": page.url
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}
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async def _save_to_markdown(self, job_data: Dict, keyword: str, verified: bool=True):
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"""Save to appropriate folder using job ID to avoid duplication"""
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folder = "linkedin_jobs" if verified else "linkedin_jobs_unverified"
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os.makedirs(folder, exist_ok=True)
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# Extract job ID from URL for LinkedIn jobs
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url = job_data.get("url", "")
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if "/jobs/view/" in url:
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try:
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job_id = url.split("/view/")[1].split("/")[0]
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except:
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job_id = "unknown"
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else:
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# For external jobs, use a hash of the URL (first 12 chars)
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import hashlib
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job_id = hashlib.md5(url.encode()).hexdigest()[:12]
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clean_keyword = keyword.replace(" ", "_")
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filename = f"linkedin_{clean_keyword}_job_{job_id}.md"
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filepath = os.path.join(folder, filename)
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# Only save if file doesn't already exist (idempotent)
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if os.path.exists(filepath):
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print(f" 📝 Skipping duplicate Markdown file: {filename}")
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return
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with open(filepath, "w", encoding="utf-8") as f:
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f.write(f"# {job_data['title']}\n\n")
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f.write(f"- **Company**: {job_data['company']}\n")
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f.write(f"- **Location**: {job_data['location']}\n")
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f.write(f"- **Workplace**: {job_data['workplace_type']}\n")
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f.write(f"- **Salary**: {job_data['salary']}\n")
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f.write(f"- **URL**: <{url}>\n\n")
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f.write(f"## Description\n\n{job_data['description']}\n")
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async def _save_to_db(self, job_data: Dict, keyword: str):
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with sqlite3.connect(self.db_path) as conn:
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cursor = conn.cursor()
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cursor.execute('''
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INSERT OR IGNORE INTO jobs
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(keyword, title, company, location, salary, description, url, workplace_type)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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keyword,
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job_data["title"],
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job_data["company"],
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job_data["location"],
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job_data["salary"],
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job_data["description"],
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job_data["url"],
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job_data["workplace_type"]
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))
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conn.commit()
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async def scrape_jobs(
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self,
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search_keywords: str,
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max_pages: int = 1,
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credentials: Optional[Dict] = None
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):
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encoded_keywords = search_keywords.replace(" ", "%20")
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search_url = f"https://www.linkedin.com/jobs/search/?keywords={encoded_keywords}"
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profile = self.engine._select_profile()
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renderer = random.choice(self.engine.common_renderers[self.engine.os])
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vendor = random.choice(self.engine.common_vendors)
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spoof_script = self.engine._get_spoof_script(renderer, vendor)
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async with async_playwright() as pw:
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browser = await pw.chromium.launch(
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headless=False,
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args=['--disable-blink-features=AutomationControlled']
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)
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context = await AsyncNewContext(browser, fingerprint=profile)
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await context.add_init_script(f"""
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Object.defineProperty(navigator, 'hardwareConcurrency', {{ get: () => {profile.navigator.hardwareConcurrency} }});
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Object.defineProperty(navigator, 'deviceMemory', {{ get: () => {profile.navigator.deviceMemory} }});
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Object.defineProperty(navigator, 'platform', {{ get: () => '{profile.navigator.platform}' }});
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""")
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await context.add_init_script(spoof_script)
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page = await context.new_page()
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session_loaded = await self.engine.load_session(context)
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login_successful = False
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if session_loaded:
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print("🔁 Using saved session — verifying login...")
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await page.goto("https://www.linkedin.com/feed/", timeout=60000)
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if "feed" in page.url and "login" not in page.url:
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print("✅ Session still valid.")
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login_successful = True
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else:
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print("⚠️ Saved session expired — re-authenticating.")
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session_loaded = False
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if not session_loaded and credentials:
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print("🔐 Performing fresh login...")
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login_successful = await self._login(page, credentials)
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if login_successful:
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await self.engine.save_session(context)
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else:
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print("❌ Login failed. Exiting.")
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await browser.close()
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self.engine.report_outcome("block")
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return
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elif not credentials:
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print("ℹ️ No credentials — proceeding as guest.")
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login_successful = True
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else:
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pass
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await page.wait_for_load_state("load", timeout=60000)
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print("✅ Post-login page fully loaded. Starting search...")
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if await self.engine._detect_cloudflare(page):
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print("☁️ Cloudflare detected on initial load.")
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if not await self.engine._handle_cloudflare(page):
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print("❌ Cloudflare could not be resolved.")
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await browser.close()
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self.engine.report_outcome("cloudflare")
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return
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print(f"🔍 Searching for: {search_keywords}")
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await page.goto(search_url, wait_until='load', timeout=60000)
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await asyncio.sleep(random.uniform(4.0, 6.0) * self.human_speed)
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if await self.engine._detect_cloudflare(page):
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print("☁️ Cloudflare detected on search page.")
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if not await self.engine._handle_cloudflare(page):
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await browser.close()
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self.engine.report_outcome("cloudflare")
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return
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scraped_count = 0
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all_job_links = []
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seen_job_ids = set()
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# ← NEW: Scroll once to reveal pagination (if any)
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print("🔄 Scrolling to bottom to reveal pagination controls...")
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await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
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await asyncio.sleep(random.uniform(3.0, 5.0) * self.human_speed)
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# Check if pagination exists
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pagination_exists = await page.query_selector("button[aria-label='Next']")
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if pagination_exists:
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print("⏭️ Pagination detected. Using page navigation.")
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current_page = 1
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while current_page <= max_pages:
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print(f"📄 Processing page {current_page}/{max_pages}")
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# Collect job links on current page
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current_links = await page.query_selector_all("a[href*='/jobs/view/']")
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new_jobs = 0
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for link in current_links:
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href = await link.get_attribute("href")
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if href:
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job_id = href.split("/view/")[-1].split("/")[0] if "/view/" in href else href
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if job_id and job_id not in seen_job_ids:
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seen_job_ids.add(job_id)
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all_job_links.append(href)
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new_jobs += 1
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print(f" ➕ Found {new_jobs} new job(s) on page {current_page} (total: {len(all_job_links)})")
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# Try to go to next page
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if current_page < max_pages:
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next_btn = await page.query_selector("button[aria-label='Next']")
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if next_btn and await next_btn.is_enabled():
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await self._human_click(page, next_btn)
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await asyncio.sleep(random.uniform(4.0, 6.0) * self.human_speed)
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# Wait for URL to change or new content
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try:
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await page.wait_for_function("() => window.location.href.includes('start=')", timeout=30000)
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except:
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pass
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else:
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print("🔚 'Next' button not available — stopping pagination.")
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break
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current_page += 1
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else:
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print("🔄 No pagination found. Falling back to infinite scroll...")
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last_height = await page.evaluate("document.body.scrollHeight")
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no_new_jobs_count = 0
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max_no_new = 3
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while no_new_jobs_count < max_no_new:
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await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
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await asyncio.sleep(random.uniform(3.0, 5.0) * self.human_speed)
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current_links = await page.query_selector_all("a[href*='/jobs/view/']")
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new_jobs_found = 0
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for link in current_links:
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href = await link.get_attribute("href")
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if href:
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job_id = href.split("/view/")[-1].split("/")[0] if "/view/" in href else href
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if job_id and job_id not in seen_job_ids:
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seen_job_ids.add(job_id)
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all_job_links.append(href)
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new_jobs_found += 1
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print(f" ➕ Found {new_jobs_found} new job(s) (total: {len(all_job_links)})")
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new_height = await page.evaluate("document.body.scrollHeight")
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if new_height == last_height:
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no_new_jobs_count += 1
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else:
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no_new_jobs_count = 0
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last_height = new_height
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if new_jobs_found == 0 and no_new_jobs_count >= 1:
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print("🔚 No new jobs loaded. Stopping scroll.")
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break
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print(f"✅ Collected {len(all_job_links)} unique job links.")
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# ← Rest of job processing loop unchanged
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scraped_count = 0
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for idx, href in enumerate(all_job_links):
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try:
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full_url = href if href.startswith("http") else f"https://www.linkedin.com{href}"
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print(f" → Opening job {idx+1}/{len(all_job_links)}: {full_url}")
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await page.goto(full_url, wait_until='load', timeout=60000)
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await asyncio.sleep(3 * self.human_speed)
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is_cloudflare = await self.engine._detect_cloudflare(page)
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page_content = await page.content()
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has_captcha_text = "captcha" in page_content.lower()
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captcha_present = is_cloudflare or has_captcha_text
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title_element = await page.query_selector("h1.t-24")
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job_data_accessible = title_element is not None
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if captcha_present:
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if job_data_accessible:
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print(" ⚠️ CAPTCHA detected, but job data is accessible. Proceeding in stealth mode...")
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await self.engine._avoid_captcha(page)
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else:
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print(" ⚠️ CAPTCHA detected and job data blocked. Attempting recovery...")
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if not await self.engine._solve_captcha_fallback(page):
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print(" ❌ CAPTCHA recovery failed. Skipping job.")
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continue
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title_element = await page.query_selector("h1.t-24")
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if not title_element:
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print(" ❌ Job data still unavailable after CAPTCHA handling. Skipping.")
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continue
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if not captcha_present:
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await self.engine._avoid_captcha(page)
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apply_btn = None
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apply_selectors = [
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"button[aria-label*='Apply']",
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"button:has-text('Apply')",
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"a:has-text('Apply')",
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"button:has-text('Easy Apply')"
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]
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for selector in apply_selectors:
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apply_btn = await page.query_selector(selector)
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if apply_btn:
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break
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job_data = None
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final_url = full_url
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if apply_btn:
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print(" → Clicking 'Apply' / 'Easy Apply' button...")
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page_waiter = asyncio.create_task(context.wait_for_event("page"))
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await self._human_click(page, apply_btn, wait_after=False)
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external_page = None
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try:
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external_page = await asyncio.wait_for(page_waiter, timeout=5.0)
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print(" 🌐 External job site opened in new tab.")
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await external_page.wait_for_load_state("load", timeout=30000)
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await asyncio.sleep(2 * self.human_speed)
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await self.engine._human_like_scroll(external_page)
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await asyncio.sleep(2 * self.human_speed)
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job_data = await self._extract_job_details(external_page)
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final_url = external_page.url
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if not external_page.is_closed():
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await external_page.close()
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except asyncio.TimeoutError:
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print(" 🖥️ No external tab — scraping LinkedIn job page.")
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await page.wait_for_timeout(2000)
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try:
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await page.wait_for_selector("div.jobs-apply-button--fixed, div.jobs-easy-apply-modal", timeout=8000)
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except:
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pass
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await self.engine._human_like_scroll(page)
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await asyncio.sleep(2 * self.human_speed)
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job_data = await self._extract_job_details(page)
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final_url = page.url
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else:
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print(" ⚠️ No 'Apply' button found — scraping job details directly.")
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await self.engine._human_like_scroll(page)
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await asyncio.sleep(2 * self.human_speed)
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job_data = await self._extract_job_details(page)
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final_url = page.url
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job_data["url"] = final_url
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if job_data["title"] == "N/A" and "linkedin.com" in final_url:
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job_id = final_url.split("/")[-2] if "/jobs/view/" in final_url else "unknown"
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job_data["title"] = f"Easy Apply Job - ID {job_id}"
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is_meaningful = (
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job_data["title"] != "N/A" or
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job_data["company"] != "N/A" or
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(job_data["description"] != "N/A" and len(job_data["description"]) > 20)
|
||
)
|
||
|
||
if is_meaningful:
|
||
await self._save_to_db(job_data, search_keywords)
|
||
await self._save_to_markdown(job_data, search_keywords, verified=True)
|
||
scraped_count += 1
|
||
print(f" ✅ Scraped (verified): {job_data['title'][:50]}...")
|
||
else:
|
||
await self._save_to_markdown(job_data, search_keywords, verified=False)
|
||
print(f" 🟡 Scraped (unverified): {final_url} — low-quality data")
|
||
|
||
except Exception as e:
|
||
print(f" ⚠️ Failed on job {idx+1}: {str(e)[:100]}")
|
||
continue
|
||
|
||
finally:
|
||
print(" ↩️ Returning to LinkedIn search results...")
|
||
await page.goto(search_url, timeout=60000)
|
||
await asyncio.sleep(4 * self.human_speed)
|
||
|
||
await browser.close()
|
||
|
||
if scraped_count > 0:
|
||
self.engine.report_outcome("success")
|
||
print(f"✅ Completed! Saved {scraped_count} verified + additional unverified jobs for '{search_keywords}'.")
|
||
else:
|
||
self.engine.report_outcome("captcha")
|
||
print("⚠️ No verified jobs scraped — check 'linkedin_jobs_unverified' for raw outputs.")
|