Prompt

I'm building a no-code workflow to extract job listings into Google Sheets

Technology / API Platforms1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

Great use case. A no-code workflow for extracting job listings into Google Sheets usually looks like this:

Simple workflow

  1. Source jobs

    • Job board pages, ATS pages, or RSS feeds
    • Examples: Greenhouse, Lever, Workable, Ashby, Indeed, LinkedIn, etc.
  2. Extract the data

    • Use a no-code scraper or automation tool:
      • Apify
      • Browse AI
      • Phantombuster
      • Octoparse
      • Make.com / Zapier with scraping/API steps
  3. Clean and format

    • Normalize fields like:
      • Job title
      • Company
      • Location
      • Remote/onsite
      • Salary
      • Posting URL
      • Date posted
      • Description snippet
  4. Send to Google Sheets

    • Append rows into a sheet
    • Use a unique key like job_url or job_id to prevent duplicates

Recommended no-code setup

If you want something practical and stable:

Option A: Scraper + Make.com + Google Sheets

  • Apify/Browse AI extracts job data
  • Make.com receives the data
  • Google Sheets stores rows
  • Add a deduplication step using the job URL

Option B: Direct ATS/API extraction

Many job boards expose structured endpoints:

  • Greenhouse boards
  • Lever postings API
  • Workable JSON endpoints

This is often easier than scraping HTML.


Suggested sheet columns

Use columns like:

  • job_id
  • title
  • company
  • location
  • remote_status
  • employment_type
  • salary_min
  • salary_max
  • job_url
  • posted_date
  • source
  • description
  • date_scraped

Key implementation tips

  • Use a unique identifier to avoid duplicates
  • Normalize locations because job boards format them differently
  • Rate-limit scraping to avoid blocks
  • Prefer APIs/JSON endpoints when available
  • Schedule runs daily or hourly depending on how fresh you need listings

Example automation logic

  1. Scrape jobs from target site
  2. Parse each listing into fields
  3. Check if job_url already exists in Sheets
  4. If not, append row
  5. Repeat on a schedule

If you want, I can help you design the exact workflow for one of these setups:

  • Make.com + Google Sheets
  • Zapier + Google Sheets
  • Apify + Google Sheets
  • Browse AI + Google Sheets

Or I can help you build a schema for the sheet and dedup logic.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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