Apify
Web scraping and automation platform for extracting data at scale
Our take
Where Apify fits in an AI agent stack
We would not call Apify a universal answer, but it clearly has a place in this market. Across the directory, it shows up repeatedly in seo/sem and lead gen work. That usually means builders are trusting it with a meaningful slice of the workflow rather than treating it as a throwaway experiment.
What I like is that the use cases are not all theoretical. We see Apify across sectors like SEO Agencies and Marketing Agencies, which gives us a better signal about where it actually holds up in the wild. When a tool keeps resurfacing in different business contexts, it usually means it solves a real operational problem instead of just looking good in a demo.
The main caveat is fit. Apify looks best when the team knows whether it wants speed, control, or reach. Based on the directory, the usage mix leans intermediate, and the most common pairings with Claude Code, Google Search Console, and OpenClaw suggest that operators are rarely using it alone. We would frame it as one layer in a working stack, not the whole strategy by itself.
Best for
- Teams building SEO/SEM and Lead Gen workflows where the tool needs to do real work inside the process
- Operators in sectors like SEO Agencies and Marketing Agencies who want a proven starting point instead of inventing the stack from scratch
- Intermediate builders who want to work from existing patterns we can already see in the directory
Not ideal if
- Teams looking for Apify to replace every other system in the stack
- Operators who do not yet have a clear workflow, owner, or business goal behind the automation
- Anyone expecting the tool choice alone to create ROI without good process design around it
Why we think builders keep coming back to Apify
We usually pay attention when a tool keeps appearing in live strategies instead of just comparison content. Apify has that pattern here, which is why I think it deserves a stronger page than a simple feature summary.
Watch-out: Apify still needs a clear role in the stack. If the workflow is vague, the tool will not rescue it by itself.
Top Strategies Using Apify
Claude Code SEO Agent That Replaces Your $200/mo Tool Stack
A Claude Code SEO agent that finds keyword gaps, maps competitors, writes content in your brand voice, and tracks rankings for free.
100 Free HVAC Leads in 10 Minutes Using OpenClaw and Apify
An OpenClaw agent scraped 100 HVAC leads from Google Maps, scored each one for AI opportunity, and auto drafted personalized outreach emails in Gmail from a single voice command in under 10 minutes.
Where Apify shows up most
Frequently Asked Questions
What does Apify actually do in these AI agent stacks?
Apify usually handles one important layer of the system rather than the entire business workflow. On this site, it most often appears in seo/sem and lead gen deployments where the operator needs the stack to do something useful, repeatable, and measurable.
Who is Apify best for?
Teams building SEO/SEM and Lead Gen workflows where the tool needs to do real work inside the process Operators in sectors like SEO Agencies and Marketing Agencies who want a proven starting point instead of inventing the stack from scratch Intermediate builders who want to work from existing patterns we can already see in the directory
When is Apify probably the wrong choice?
Teams looking for Apify to replace every other system in the stack Operators who do not yet have a clear workflow, owner, or business goal behind the automation Anyone expecting the tool choice alone to create ROI without good process design around it
How are builders pairing Apify with other tools?
Most teams here are not using Apify in isolation. The most common pairings we see are Claude Code, Google Search Console, and OpenClaw, which suggests builders are using it as one layer in a broader operating stack.
Is Apify beginner friendly or more advanced?
The usage pattern on BuiltWithAgents leans intermediate. I would not judge the tool only by its UI; the real question is whether the workflow around it is simple or operationally complex.
What kinds of businesses are using Apify?
We see Apify used across sectors like SEO Agencies and Marketing Agencies. That does not mean it fits every business, but it is a good sign that the tool is surviving outside a single niche or creator bubble.
How should I evaluate whether Apify is worth it for me?
I would start by reading the case studies on this page and asking a simple question: does Apify solve the bottleneck, or is it just adjacent to it? If the tool is helping the workflow move faster, close more leads, save more time, or reduce operational drag, that is the signal that matters.
Example Use Cases
SEO/SEM workflows
The clearest fit we see for Apify is inside seo/sem systems where speed and reliability matter more than novelty.
SEO Agencies operating systems
Several examples on the site point to Apify being useful when teams in SEO Agencies want to turn a good manual process into something repeatable and easier to scale.
Stack glue for real deployments
I would look at Apify most seriously when it needs to sit alongside other tools and own one important part of the workflow well, rather than pretending to do everything.
Common Stack Pairings
Claude Code
1 shared strategies
Anthropic's agentic coding tool for building and editing codebases
Google Search Console
1 shared strategies
Free Google tool for monitoring and optimizing search performance
OpenClaw
1 shared strategies
Open-source AI agent that runs autonomously on your local machine
Claude
1 shared strategies
Anthropic's AI assistant for analysis, writing, and complex tasks