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Automated Job Search: LinkedIn Jobs to Notion Board

Linda Hamilton
Linda HamiltonOriginal
2025-01-23 00:13:10822browse

Automated Job Search: LinkedIn Jobs to Notion Board

This project is a job grabbing system based on Python, which can import job information on LinkedIn into a structured Notion database. Project address: jobs-scrape-to-notion

Installation steps

  1. Clone repository:
<code class="language-bash">git clone https://github.com/namanvashistha/jobs-scrape-to-notion
cd jobs-scrape-to-notion</code>
  1. Install dependencies:
<code class="language-bash">pip install -r requirements.txt</code>
  1. Configure Notion:

    • Create a Notion integration at notion.so/my-integrations.
    • Create a new Notion database.
    • Share the database with the integration.
    • Copy the database ID from the database URL.
  2. Set environment variables:

<code class="language-bash">cp .env.example .env</code>

Update your credentials in the .env file:

<code>NOTION_API_KEY=你的集成令牌
NOTION_DATABASE_ID=你的数据库ID</code>

Main functions

Job capture

<code class="language-python">def fetch_jobs(search_terms, location, results_wanted=20):
    # 基于多个搜索词抓取 LinkedIn 职位信息
    # 返回包含职位详情的 pandas DataFrame</code>

Notion integration

  • Create structured database entries.
  • Handle rich text, URLs, dates and company logos.
  • Prevent duplicate entries.
  • Manage API rate limits.

Data processing

  • Clean input data.
  • Format salary range in Indian Rupees.
  • Process company metadata.
  • Manage logo file attachments.

Run the scraper

<code class="language-bash">python main.py</code>

Default configuration:

  • Search term: ["Software Engineer", "Backend", "SDE"]
  • Location: India
  • Number of results per word: 20
  • Platform: LinkedIn

Customized

Modify the scraper.py function in the main() file:

<code class="language-python">search_terms = ["你的", "搜索", "词"]
location = "你的地点"
results_wanted = 30  # 每个词的结果数</code>

Error handling

The system contains:

  • Full logging.
  • Rate limit management.
  • Duplicate prevention.
  • Data validation.

Visit the project repository for source code and detailed documentation.

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