Why Apollo Beats Clay for Recruitment Agencies Doing Outreach
If you run a recruitment agency and you’re trying to grow your business through lead generation and outbound, you face a unique challenge. You need to find companies within your total addressable market (TAM) that are actively hiring for the specific roles you specialize in filling. This isn’t just a sales problem—it’s a tech challenge. And in this post, I’m going to reveal why Clay is no longer the best solution for recruiters, and what tool you should be using instead.
The Clay Problem: Death by Action Credits
Let’s start with Clay. Many recruiters have used Clay in the past because it was fairly good for recruitment workflows. But here’s the problem: Clay recently introduced action credits, and now they charge you for every single column in a table that runs an action.
Let me break down what this means in practice. A typical recruitment agency workflow in Clay has six tables with approximately 32 action columns from start to finish. Each row that runs through an action column costs one action credit. So one complete row running through the entire workflow consumes 32 action credits.
Now let’s look at Clay’s pricing. Their lowest plan at $185 per month gives you 15,000 actions per month. When you divide 15,000 by 32 action columns, you get just 468 rows of data that you can run through the entire workflow in a month. That’s barely enough to get started.
The pricing basically forces you to upgrade to their $495 per month plan with 40,000 action credits. Even at this level, you’re only getting 1,250 rows per month (40,000 divided by 32). Spread that across 20 business days, and you can only send 62 emails per day.
This is a massive problem. If you want to run cold email as a recruitment agency effectively, you need to be sending at least 500 emails per day—ideally closer to 1,000—to get a consistent flow of meetings booked into your calendar every month.
Clay’s Limited Job Filtering Capabilities
Beyond the cost issue, Clay has another fundamental limitation for recruiters: inadequate filtering for job searches. Clay’s “find jobs” feature lets you search LinkedIn jobs with filters like job titles, job description keywords, location, employment type, and seniority. That sounds good on paper, but there’s a critical missing piece.
You cannot apply company-level filters.
This means you can’t filter jobs to only show companies between 20 and 200 employees, for example. When you run a search without company-size filters, you get flooded with jobs at massive companies like Amazon, Google, and Meta—companies that have huge in-house recruitment teams and will never work with an external recruitment agency.
The only workaround Clay offers is to first build a list of companies, then search for jobs at those specific companies. But here’s the reality: typically only 1 to 3% of companies in an industry are actively hiring for the roles you focus on at any given time. You end up building a massive company list, running the job search, and feeling thoroughly disheartened when your final list is tiny—nowhere near enough to run consistent outbound campaigns.
What About the Alternatives?
Prospector
Prospector is a lead database that comes close to solving the recruitment problem. It has a job postings feature where you can search for keywords and filter by the number of active job postings. But it’s missing a crucial filter: you can’t specify when the job was posted.
Why does this matter? Because if a job has been open for more than 30 days, the company probably isn’t that serious about filling it. They might just be harvesting resumes to build a talent pool for future direct outreach. Without the ability to filter by posting date, you can’t set up an automated daily workflow that only finds fresh opportunities.
Apify Scrapers
Apify has some excellent LinkedIn job scrapers. One of the best is from Harvest API, which offers impressive filtering capabilities including location, workplace type (remote, hybrid, office), employment type, experience level, and even salary ranges.
The scraper also lets you filter by posted date—including jobs posted within the last hour or 24 hours, which makes daily automation possible. It has industry filters too, so you’re getting closer to the ideal solution.
But there’s still a problem: you can’t filter by company size. Larger companies tend to have many more open positions, so without a company-size filter, your list gets filled with noise from companies that are way too big for your services.
The Solution: Apollo
Apollo is the tool I actually recommend for recruiters doing outbound, and many of you are probably already familiar with it. What makes Apollo special is its comprehensive filtering capabilities that let you accomplish everything in a single search.
Here’s what you can filter for in Apollo:
- Decision-maker filters: Job titles, seniority, department, and more
- Company filters: Founded date, employee count by department, industry (including keyword-based exclusions), custom headcount ranges, and even technology stack
- Job posting filters: Keywords for roles you’re hiring for, job location, number of active postings (min/max), and posting date with granular control (specific number of days, weeks, or months)
The job posting date control is particularly powerful. You can set it to find jobs posted just one or two days ago, making it perfect for daily automated workflows. If a company has five sales job postings and they’re only a 50-person company, that’s a strong signal they’re ramping up their sales team—making them an ideal target.
In one single Apollo search, you get the right companies, companies actively hiring for your target roles, and the decision-makers you need to contact. This is exactly what recruiters need.
Building the Complete Workflow
Apollo doesn’t give you the actual job descriptions directly in the search results, but that’s where workflow automation comes in. At Client Tribe, we build end-to-end workflows for recruitment agencies that combine Apollo with other tools to create a complete system.
Here’s how it works:
First, you communicate with Apollo’s API using tools like Claude to pull data based on your exact criteria: company industry, size, location, decision-maker job titles, and job posting keywords. Then the workflow automatically sends those companies to an Apify scraper to grab the actual job descriptions.
Now you have the specific job title for every position, so when you reach out to decision-makers, you can reference the exact role. You also have the full job description, which you can analyze with AI to extract key details like the most important skills required and what the job posting reveals about the company’s current priorities.
All of these details get used to personalize your messaging at scale. The system runs end-to-end every single day, automatically adding new leads to your sequences and reaching out to them. When someone sends a positive reply, you get pinged via Slack or email with their contact details, and the system has already sent them a LinkedIn connection request from you.
We build these workflows using n8n instead of Clay. n8n is an orchestration layer that connects different tools together in a sequence, running the Apollo search, the Apify scrape, enrichment, lead qualification, message personalization, and adding leads to your sequences in tools like SmartLead, Instantly, or HeyReach.
The Bottom Line
If you’re a recruitment agency trying to scale your outbound efforts, Clay is no longer viable due to prohibitive action credit costs and limited company-level filtering for job searches. Apollo offers the most comprehensive filtering capabilities for finding companies that match your TAM and are actively hiring for your target roles.
When combined with workflow automation through n8n and Apify scrapers, you can build a complete system that runs daily, finds fresh opportunities, personalizes outreach at scale, and delivers a consistent flow of qualified meetings to your calendar—all while keeping costs under control.
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