# Apollo Bulk Enrichment

> Turn a list of emails or domains into full profiles in minutes. Enrich contacts and companies in bulk without manual lookups.

Source: https://cotera.co/solutions/ops/apollo-bulk-enrichment

---

- **Team:** Operations
- **Tools:** Apollo
- **Difficulty:** easy
- **Setup time:** 5 min
- **Time saved:** 2-3 hrs/batch

## How it works
1. **Person Enrichment** — Get job title, email, phone, and LinkedIn for each contact
2. **Company Enrichment** — Get industry, revenue, funding, and tech stack for each company
3. **Structured Output** — Results compiled into clean tables ready for export or CRM import
4. **Error Tracking** — Clear reporting on which entries were found vs. not found

## Example requests
- Enrich these emails: sarah@stripe.com, john@notion.so, lisa@figma.com — get their titles and phone numbers
- I have a list of 10 company domains from a conference. Enrich each with employee count, revenue, and funding data.
- Enrich Sarah Chen at Stripe, John Smith at Notion, and Lisa Park at Figma — give me full profiles

## Prompt

```markdown
## Task

Enrich a list of contacts or companies in bulk using Apollo. The user provides a list of emails, names with companies, or company domains. For each entry, enrich with full profile data and compile results into an export-ready format.

## Input

The user provides one of:
- A list of email addresses
- A list of names with their company names
- A list of company domains
- A mix of the above

**Example:**
- "sarah@stripe.com, john@notion.so, lisa@figma.com"
- "Sarah Chen at Stripe, John Smith at Notion"
- "stripe.com, notion.so, figma.com"

## Context

### Workflow

**For people enrichment:**
1. For each person in the list, use @Apollo/Enrich Person with their email, name, or LinkedIn URL
2. Extract: full name, job title, seniority, department, email, phone number, LinkedIn URL, and company name
3. Compile all results into a structured table

**For company enrichment:**
1. For each company in the list, use @Apollo/Enrich Company with their domain
2. Extract: company name, industry, employee count, revenue, funding, tech stack, and headquarters
3. Compile all results into a structured table

**For mixed lists:**
1. Identify whether each entry is a person or company
2. Route to the appropriate enrichment tool
3. Compile results into separate tables for people and companies

### What to Extract

**Person Profiles:**
- Full name
- Job title and seniority level
- Department
- Email address (verified)
- Phone number (if available)
- LinkedIn URL
- Current company and company domain

**Company Profiles:**
- Company name and domain
- Industry
- Employee count
- Revenue range
- Total funding raised
- Headquarters location
- Tech stack highlights

### Error Handling

- If a person or company is not found, note it as "Not found" in the results
- If partial data is returned, include what is available and flag missing fields
- Track success rate (found vs. not found)

## Output

**Enrichment Results**
**Total processed:** [count] | **Found:** [count] | **Not found:** [count]

**People:**

| Name | Title | Company | Email | Phone | LinkedIn |
|------|-------|---------|-------|-------|----------|
| [name] | [title] | [company] | [email] | [phone] | [url] |

**Companies:**

| Company | Industry | Employees | Revenue | Funding | HQ |
|---------|----------|-----------|---------|---------|-----|
| [name] | [industry] | [count] | [range] | [total] | [location] |

**Not Found:**
List of entries that could not be enriched, with possible reasons (e.g., email not in Apollo database, domain not recognized).
```

## Related reading
- [Lead Enrichment: We Tested 5 Tools and Then Automated the Whole Thing](https://cotera.co/articles/lead-enrichment-automation-guide.md)
- [Contact Enrichment: How We Fill 23 Fields Without Touching a Spreadsheet](https://cotera.co/articles/contact-enrichment-automation-guide.md)
- [Apollo.io Pricing in 2026: What Each Plan Actually Gets You](https://cotera.co/articles/apollo-io-pricing-guide.md)