Automate a day job as an automation engineer
The poster has Claude act as an automation engineer, doing design and research work and finding related docs and indexes for their job. Task: Suggested implementation: Use Claude to generate a Python script for extracting specific data fields from target websites, replacing manual data entry. The human acts as the decision-maker, initiating the workflow and supplying necessary field definitions, while Claude executes the code and returns structured results. This approach avoids direct LLM scraping to minimize token usage and ensure reliability.; tools: Claude. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include Python environment setup and clear field definitions. Constraints: Do not use Claude for direct web scraping; rely on generated scripts for extraction to control costs and avoid rate limits. Source reliability is low as the original Reddit post is inaccessible. Human approval is required for script execution and output validation..
Tools
Published on Agent Work Atlas:
Overview
The poster has Claude act as an automation engineer, doing design and research work and finding related docs and indexes for their job.
Workflow
Suggested implementation: Use Claude to generate a Python script for extracting specific data fields from target websites, replacing manual data entry. The human acts as the decision-maker, initiating the workflow and supplying necessary field definitions, while Claude executes the code and returns structured results. This approach avoids direct LLM scraping to minimize token usage and ensure reliability.
Reported result
Actual outcomes are unverified due to source access restrictions (HTTP 403). The original poster claimed a reduction from 40 hours to 10 minutes of human involvement, but this cannot be confirmed. Proposed acceptance check: Measure time saved per batch and verify data accuracy against a manual sample of 10 records.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include Python environment setup and clear field definitions. Constraints: Do not use Claude for direct web scraping; rely on generated scripts for extraction to control costs and avoid rate limits. Source reliability is low as the original Reddit post is inaccessible. Human approval is required for script execution and output validation.
Try it
Act as an automation engineer. I need a Python script to extract [replaceable: specific data fields, e.g., price, title, URL] from [replaceable: target website URLs]. 1. Analyze the HTML structure of the provided URLs. 2. Write a robust Python script using BeautifulSoup or Selenium to extract the specified fields. 3. Ensure the script handles errors and does not perform aggressive scraping. 4. Output the script code and a sample JSON output. 5. Before running, I will review the code for safety and accuracy. Do not execute the script until I confirm the logic is correct. If the website structure is unclear, ask for a sample HTML snippet.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.