> ## Documentation Index
> Fetch the complete documentation index at: https://deepline.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Lead Enrichment Pipeline

> Run a low-latency lead enrichment pipeline using Apify, Crustdata, and Apollo before outreach. Use it for a first run, result review, and safe scaling.

<Info>
  Use this recipe when you already have raw leads and want fast, structured
  company + person context.
</Info>

## Workflow

1. **Seed leads** from a CSV.
2. **Normalize company data** first.
3. **Enrich person/role fields** with a second pass.
4. **Add quality gates** (domain/email validation) before downstream automation.

<Tip>
  Keep each block single-purpose so failures are obvious and reruns are cheap.
</Tip>

## Claude Code Prompt

```text theme={null}
I have leads.csv with person_first_name, person_last_name, and company_name.
Run a Deepline enrichment pipeline with this order:
1) company normalization
2) people enrichment
3) email validation

Start with rows 0-20 only and write output to leads-enriched.csv.
Before running, show the exact action plan and expected output columns.
After running, summarize:
- success/failure count by action
- 3 representative enriched rows
- any schema or quality risks before scaling
```

## Why This Layout Is Reliable

* Keeps each step **single-purpose**.
* Allows quick pilot runs before running the full file.
* Makes failures easy to diagnose because each block maps to a clear provider.

***

View source on [GitHub](https://github.com/getaero-io/gtm-eng-skills) | [I Have X, I Want Y →](/plays/decision-tree)