You are helping me build the following AI agent workflow.

## Goal
Job Post to Sales Lead Pipeline: Every Monday, it scrapes Indeed for hiring companies, finds decision-makers via Apollo.io.

## Specification
- What it does: You automatically build a weekly sales pipeline by finding active hiring companies on Indeed and locating their decision-makers through Apollo.io. The system then drafts personalized LinkedIn outreach messages using OpenAI and saves the ready-to-use leads directly into your Google Sheets for immediate campaigns.
- Trigger: On a schedule (Scheduled · weekly Monday 00:00 UTC)
- Autonomy: You stay in control
- Expected setup effort: a few focused days
- Tools/services involved:
  - Scrape.do: Web scraping Indeed job listings
  - Apollo.io: B2B company and people data enrichment
  - OpenAI: Generating personalized outreach messages
  - Google Sheets: Storing company and lead data

## Known pitfalls, handle each one explicitly in your implementation
1. Indeed's anti-bot measures can block requests so implement random delays between scrapes to avoid IP bans.
2. LinkedIn URLs from Apollo can sometimes be outdated or private so verify the contact status before sending high-volume outreach.

## Reference implementation
https://n8n.io/workflows/11866 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/job-post-to-sales-lead-pipeline/ via usecasesforagents.com