Connecting Apollo to Clay: setup, sync, and gotchas in 2026

How the Apollo-Clay Integration Works

Clay calls the Apollo API in real time whenever you trigger an enrichment run on a contact row. You don't export a CSV from Apollo or re-import it anywhere. Clay's Apollo integration is a native enrichment column: you add it to any table, supply your API key, and Clay handles the rest.

The data flow runs one direction: Apollo to Clay. Clay reads Apollo's database but doesn't write back to it. That matters for teams already running Apollo sequences, because your Clay enrichment work won't interfere with your Apollo contact lists or sequence data.

Clay uses your Apollo API credits for every query it fires. On Apollo's Basic plan, that's 1,800 credits per month. On Professional, it's 12,000. If you're running Clay enrichment at scale, you'll burn through Basic credits in a few hundred rows. Most teams doing real volume need Apollo Professional or Team to support a Clay workflow without credit rationing.

Step-by-Step Setup Guide

The integration takes about 10 minutes to configure if you already have active accounts on both platforms. You need an Apollo API key and a Clay workspace with at least a Starter plan. Apollo's free plan doesn't expose API access, so you can't run this on a free Apollo account.

1. Get your Apollo API key. In Apollo, go to Settings, then Integrations, then API. Generate a new key or copy your existing one. Keep that tab open.
2. Open or create a Clay table. Log into Clay and open the workspace you want. Create a new table or navigate to an existing one with contact data already loaded.
3. Add an Apollo enrichment column. Click the column button, select Enrich, and type Apollo in the search bar. Select the Apollo enrichment option from the results list.
4. Enter your API key. Paste your Apollo API key when Clay prompts you. Clay validates it right away. If validation fails, check for trailing spaces in the pasted key.
5. Map your input field. Choose what input Clay should send to Apollo. LinkedIn URLs produce the highest match rates. Email addresses run second. Name plus company is the weakest option and misses more records than either alternative.
6. Run a test row first. Before you fire enrichment on 500 rows, test on one contact. Click the enrichment cell and verify the returned data looks correct. This saves credits if something's misconfigured.

One common setup problem: Clay's Apollo enrichment returns nested JSON for some fields, especially company data. If you need phone numbers or seniority scores in separate columns, you'll need to add a formula column to extract those values from the raw Apollo response object. Don't expect Apollo data to land flat in ready-to-use columns by default.

What Data Actually Syncs

Clay's Apollo enrichment column can return email addresses, phone numbers, job titles, seniority level, LinkedIn URLs, company name, company size, industry, and technology stack data. Not every field populates for every contact. Apollo's match rate on LinkedIn URL input sits around 60-70% for most B2B audiences, based on what we see across client builds.

Email is the data point people use Apollo for most. Apollo's coverage is stronger for US-based contacts at companies with 50 or more employees. International coverage drops off, especially for contacts in Southeast Asia, LATAM, and parts of Europe where Apollo's data partners have thinner presence. If you're prospecting those regions, set up a waterfall in Clay to fall back to other enrichment sources after Apollo returns no match.

Phone numbers in Apollo lean toward company main lines rather than direct dials. If you need mobile numbers for calling sequences, Apollo alone won't cover you. Add a mobile-focused enrichment provider as a secondary step in Clay after Apollo runs.

Real-World Use Cases

The most common setup we build for clients is a Clay table that starts with a LinkedIn Sales Navigator export, runs Apollo enrichment for email, and then passes the enriched list to a sending tool for sequencing. Apollo covers 60-70% of the email gaps in a typical Sales Nav export. Clay's waterfall handles the rest. The result is a contact list that's 85-90% email-complete before the campaign launches.

A second use case: feeding Apollo-sourced leads into Clay for persona scoring before they hit a sequence. Apollo pulls the contact record, Clay runs AI columns to score ICP fit based on job title, company headcount, and tech stack, and only the highest-scoring rows get pushed to the sending tool. This cuts bounce rates and keeps reply rates above 5%, which is the threshold most clients track.

A third setup is reverse enrichment: you have an inbound lead's email, you drop it into Clay, Clay queries Apollo for the full contact profile, and you've got company size, title, and LinkedIn URL before your first reply lands. This takes about 3 seconds per contact and replaces 10 minutes of manual research per lead.

Pricing and Plan Requirements

You need a paid plan on both platforms to run this integration. Apollo's free plan doesn't include API access. Clay's free plan doesn't support enrichment columns. The minimum viable stack is Apollo Basic at $49/month plus Clay Starter at $149/month, which gives you 1,800 Apollo credits and 2,000 Clay credits per month.

At that credit level, you can enrich roughly 1,000-1,500 contacts per month across both platforms, assuming you're also using Clay credits for other enrichment providers. Apollo Professional at $99/month gives you 12,000 API credits and changes the math significantly for teams doing real volume.

The integration itself costs nothing extra. Clay doesn't charge a connector fee. Apollo doesn't charge extra for API access on paid plans. You're paying for credits consumed, not for the connection between the two tools.

Common Gotchas and Troubleshooting

Credit burn is the most expensive mistake teams make with this integration. Clay fires an Apollo API call for every row you run enrichment on, regardless of whether Apollo finds a match. A no-match still costs one credit. If your input list is low quality, you'll burn your monthly allocation on empty results. Clean your list before running Apollo enrichment on it.

API rate limits are the second common problem. Apollo's API enforces rate limits based on your plan tier. Clay handles most of this automatically with its own throttling logic, but running a massive table of 5,000-plus rows all at once can cause partial failures. Run large batches in segments of 500-1,000 rows to keep things stable.

Field mapping for job title variations can break your personalization if you don't QA it. Apollo sometimes returns a title with different formatting across records. If your email copy references a Clay formula that parses the title field, those formatting differences produce inconsistent outputs. Always check a sample of 20-30 enriched rows before sending a campaign.

Getting Started

If you're setting this up yourself, what matters most is enrichment waterfall order. Start with Apollo for email coverage, add a secondary provider for the gaps, then include mobile number enrichment if your team does calls. That sequence covers 85-90% of contacts in most B2B prospect lists and doesn't require a massive credit budget to execute.

If you'd rather have someone build and manage this for you, Modern Inbound sets up Clay-based enrichment stacks as part of its Research-Led Outreach service. We handle the API connections, waterfall logic, and campaign routing so your team spends time on conversations instead of configuration.

Scale Outreach Without Hiring SDRs

Most B2B teams underestimate the work before sending: buyer-language research, list logic, DNS, warm-up, deliverability, copy testing, and reply handling. Modern Inbound runs the operating layer so founders can stay focused on sales calls.

Frequently Asked Questions

These are the questions we hear most often from GTM teams setting up the Apollo-Clay connection. If you're not finding your answer here, the Apollo API documentation and Clay's help center both have integration-specific troubleshooting guides worth checking before filing a support ticket.

Does Clay use my Apollo credits when running enrichment?

Yes. Clay calls the Apollo API using your API key, which means every enrichment query draws from your own Apollo credit balance. Clay doesn't have a shared Apollo credit pool. A no-match result still consumes one credit.

What input does Clay's Apollo enrichment accept?

Clay's Apollo column accepts LinkedIn profile URLs, email addresses, or a name plus company name combination. LinkedIn URL input produces the highest match rates, typically 60-70% for B2B audiences. Name plus company is the least reliable option.

Is the Apollo-Clay integration real-time or batched?

It runs on demand, not on a schedule. Clay queries Apollo when you trigger an enrichment run on a row or table selection. There's no automatic background sync. You control when enrichment fires.

What happens when Apollo doesn't find a match in Clay?

Clay marks the enrichment cell as not found and still charges one Apollo credit for the query. You can set up a Clay waterfall to automatically try a secondary enrichment provider when Apollo returns no match.

Do I need a paid Apollo plan to use this integration?

Yes. Apollo's API is only available on paid plans. The Basic plan at $49/month is the minimum tier that exposes API access. The free Apollo plan doesn't support API-based enrichment through Clay or any other tool.