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:

git clone https://github.com/namanvashistha/jobs-scrape-to-notion
cd jobs-scrape-to-notion

2. Install dependencies:

pip install -r requirements.txt

3. 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.

4. Set environment variables:

cp .env.example .env

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

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

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

python main.py

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:

search_terms = ["你的", "搜索", "词"]
location = "你的地点"
results_wanted = 30  # 每个词的结果数

Error handling

The system contains:

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

Visit the project repository for source code and detailed documentation.

The above is the detailed content of Automated Job Search: LinkedIn Jobs to Notion Board. For more information, please follow other related articles on the PHP Chinese website!