Sticky Note Automate

用于Sticky Note，自动化工作流程通过手动触发，整合多个节点，快速抓取Indeed工作列表，利用Bright Data和大型语言模型分析招聘信号。用户可以自定义搜索条件，实时更新结果至Google Sheets，提升招聘效率，节省时间和精力。

7/8/2025
17 nodes
Complex
manualcomplexsticky noteformtriggerwaitgooglesheetssplitoutlangchainadvancedapiintegrationlogicconditional
Categories:
Complex WorkflowManual TriggeredData Processing & Analysis
Integrations:
Sticky NoteFormTriggerWaitGoogleSheetsSplitOutLangChain

Target Audience

This workflow is ideal for:
- Job Seekers looking for tailored job opportunities based on specific criteria like location, keywords, and country.
- Recruiters aiming to source potential candidates by scraping job listings from Indeed.
- Data Analysts who want to automate the collection of job market data for analysis.
- Developers interested in integrating job scraping capabilities into their applications using Bright Data and n8n.
- Business Owners who need to stay updated on market trends and job postings in their industry.

Problem Solved

This workflow addresses the challenge of efficiently scraping job listings from Indeed to identify potential hiring signals. By automating the process, users can save significant time and effort, ensuring they have access to the most relevant job postings based on personalized criteria. It also helps in tracking job market trends and insights, enabling better decision-making.

Workflow Steps

  • Form Submission: Users initiate the workflow by filling out a form that specifies job search criteria such as Job Location, Keyword, and Country.
    2. HTTP Request to Bright Data: The workflow sends a POST request to Bright Data's API to trigger a job listing dataset based on the user's input.
    3. Polling for Progress: The workflow waits for a specified time (1 minute) and checks the status of the snapshot to see if the data is ready.
    4. Data Retrieval: Once the snapshot is ready, another HTTP request is made to retrieve the job data from Bright Data.
    5. Google Sheets Integration: The job listings are added to a Google Sheets document for easy access and analysis.
    6. Data Processing: The workflow splits the job data for further processing and checks if each job post is relevant to the user based on a predefined criterion using a language model.
    7. Final Updates: The results are updated back into Google Sheets, allowing users to see which job postings are a good fit.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the form fields to include additional criteria or changing existing ones to suit their job search needs.
    - Adjusting the HTTP request parameters in the Bright Data API call to refine the job search further (e.g., changing the date_posted to different time frames).
    - Altering the Google Sheets schema to include or exclude specific job attributes based on their preferences.
    - Changing the wait time in the polling step to suit their needs for data retrieval speed versus server load.
    - Updating the LLM model parameters to fit their specific requirements for job relevance checks.