The Apify web scraping, data extraction, and automation platform
Apify Web scraping and AI agent platformReviews from AWS customer
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Great integration with my stack, powerful, developer-friendly web scraping at Scale
What do you like best about the product?
What I like best about Apify is how it combines powerful, scalable web scraping with a clean, developer-friendly workflow. It lets me automate complex data pipelines—like extracting YouTube data at scale—without worrying about infrastructure or maintenance. The combination of ready-made actors, API access, and seamless integrations saves a huge amount of time while still giving me full control when I need it.
What do you dislike about the product?
Some actors need fine-tuning, and initial setup can be slightly complex for advanced workflows and scaling needs.
What problems is the product solving and how is that benefiting you?
What I like best about Apify is how it combines powerful, scalable web scraping with a clean, developer-friendly workflow. It lets me automate complex data pipelines—like extracting YouTube data at scale—without worrying about infrastructure or maintenance. The combination of ready-made actors, API access, and seamless integrations saves a huge amount of time while still giving me full control when I need it.
Clean API, Predictable JSON, and Time-Saving Pre-Built Actors
What do you like best about the product?
The API is clean and the JSON output is predictable. I connect it to LLMs in minutes without fighting parsers or handling edge cases. Pre-built actors for websites, YouTube, and Spotify save hours compared to building scrapers from scratch. It just works.
What do you dislike about the product?
The dashboard UX feels clunky. Finding actors, managing runs, and navigating the platform isn't smooth. I haven't tested deep linking much yet, but it hasn't worked well when I tried. The core functionality is solid even if the interface needs polish.
What problems is the product solving and how is that benefiting you?
We needed structured data from websites for client projects but building custom scrapers took too much time. Now we use Apify to pull data from websites, YouTube, and Spotify in minutes instead of days. The clean JSON output connects directly to LLMs for analysis and automation. We've cut data collection time by hours per project and can deliver enriched datasets to clients faster.
Best-in-Class Scraping Platform with a Stellar Actor Ecosystem and Deployment Pipeline
What do you like best about the product?
The Actor ecosystem and deployment pipeline are best-in-class. I can go from an idea to a production-ready web scraper or automation tool in under an hour, publish it to the Apify Store, and have it running immediately on managed infrastructure with built-in proxy rotation, scheduling, and storage.
The platform takes care of the painful parts of scraping at scale proxy management, browser orchestration, rate limiting, and retry logic so I can stay focused on the actual extraction logic. The pay-per-result pricing model for Store actors is a genuine differentiator: it lets me monetize the tools I build while giving users a low-friction way to try them.
The API and SDK are well-documented and consistent, and the recently added MCP server support makes it trivial to plug scrapers into AI agent workflows. I run 80+ actors and MCPs on the platform, and reliability has been solid.
The platform takes care of the painful parts of scraping at scale proxy management, browser orchestration, rate limiting, and retry logic so I can stay focused on the actual extraction logic. The pay-per-result pricing model for Store actors is a genuine differentiator: it lets me monetize the tools I build while giving users a low-friction way to try them.
The API and SDK are well-documented and consistent, and the recently added MCP server support makes it trivial to plug scrapers into AI agent workflows. I run 80+ actors and MCPs on the platform, and reliability has been solid.
What do you dislike about the product?
The build system can be frustrating — when a deployment fails, the error messages are often vague and don't point you
to the actual problem. Debugging a failed Docker build on the platform sometimes means pushing multiple
trial-and-error commits just to get a useful stack trace. The Store discovery algorithm is also opaque; it's hard to
understand why some actors rank well and others with better SEO and more users don't. Pricing transparency for
platform compute could be improved — estimating costs for a new actor before running it at scale requires a lot of
guesswork. The web IDE is underpowered compared to local development, and the dashboard UI can feel sluggish when
managing a large portfolio of actors. Minor gripe: the documentation sometimes lags behind SDK changes, so you
occasionally find examples that use deprecated patterns.
to the actual problem. Debugging a failed Docker build on the platform sometimes means pushing multiple
trial-and-error commits just to get a useful stack trace. The Store discovery algorithm is also opaque; it's hard to
understand why some actors rank well and others with better SEO and more users don't. Pricing transparency for
platform compute could be improved — estimating costs for a new actor before running it at scale requires a lot of
guesswork. The web IDE is underpowered compared to local development, and the dashboard UI can feel sluggish when
managing a large portfolio of actors. Minor gripe: the documentation sometimes lags behind SDK changes, so you
occasionally find examples that use deprecated patterns.
What problems is the product solving and how is that benefiting you?
Apify eliminates the entire infrastructure burden of running web scrapers and data pipelines at scale. Before Apify,
maintaining scraper infrastructure meant managing headless browser pools, rotating proxies, handling IP bans, and
babysitting cron jobs on VPS instances — all of which broke constantly and ate up time that should have gone toward
building the actual product. Now I deploy an actor and the platform handles orchestration, scaling, storage, and
monitoring.
The Apify Store turned scraping from a cost center into a revenue stream. I build specialized data extraction tools —
lead enrichment, contact scraping, compliance searches, review aggregation — and monetize them directly through the
Store's pay-per-usage model. That changed the economics entirely: every actor I build is both a tool I use internally
and a product that earns while I sleep.
The platform also makes it practical to offer data-as-a-service to clients without building custom infrastructure for
each one. I can hand a client a Store link or an API endpoint and they're up and running in minutes. For AI and
automation workflows, the MCP server integration means my scrapers plug directly into LLM-powered agents, which is
where the industry is heading. Apify is the connective tissue between raw web data and the AI tools that consume it.
maintaining scraper infrastructure meant managing headless browser pools, rotating proxies, handling IP bans, and
babysitting cron jobs on VPS instances — all of which broke constantly and ate up time that should have gone toward
building the actual product. Now I deploy an actor and the platform handles orchestration, scaling, storage, and
monitoring.
The Apify Store turned scraping from a cost center into a revenue stream. I build specialized data extraction tools —
lead enrichment, contact scraping, compliance searches, review aggregation — and monetize them directly through the
Store's pay-per-usage model. That changed the economics entirely: every actor I build is both a tool I use internally
and a product that earns while I sleep.
The platform also makes it practical to offer data-as-a-service to clients without building custom infrastructure for
each one. I can hand a client a Store link or an API endpoint and they're up and running in minutes. For AI and
automation workflows, the MCP server integration means my scrapers plug directly into LLM-powered agents, which is
where the industry is heading. Apify is the connective tissue between raw web data and the AI tools that consume it.
Actor Store Makes Scaling Reliable Scraping Fast and Easy
What do you like best about the product?
The Actor Store is a major differentiator. Having access to thousands of pre-configured scrapers means we can scale our data gathering across platforms like Google Maps or Amazon in minutes, not days. The way it manages headless browsers and residential proxies automatically is extremely reliable for high-volume tasks.
What do you dislike about the product?
While the platform is powerful, the pricing model based on compute units can be a bit tricky to forecast accurately for new, unoptimized scrapers. A more detailed cost-estimator tool within the Actor setup would be a great addition to help with budget planning.
What problems is the product solving and how is that benefiting you?
Apify has removed the infrastructure headache of web scraping for our team. It allows us to funnel clean, structured web data into our internal CRM and AI pipelines without having to maintain a custom server stack or rotate proxies manually. It has significantly reduced our "time-to-data."
Powerful Automation Agents Without the Hosting Headache
What do you like best about the product?
It’s useful for creating automation agents, especially web scrapers, which would otherwise require complex infrastructure to host and run, and that can get expensive.
What do you dislike about the product?
There are some low-quality and not very useful actors in the marketplace. I think better vetting could help remove them and maintain higher standards.
What problems is the product solving and how is that benefiting you?
In our business we have a need to collect structured data from various sources so by building actors and scrapers we are able to achieve it.
Powerful Social Media Data Scraping for Twitter and Instagram
What do you like best about the product?
Scraping data from social media platforms like Twitter and Instagram.
What do you dislike about the product?
UI and UX, its challenging for a new user
What problems is the product solving and how is that benefiting you?
Helped me complete the automation which was built around trying Outlier detection post from social media
Apify Saves Time with Intuitive Workflows and Ready-Made Actors
What do you like best about the product?
Pros:
Apify has saved me a huge amount of time. The interface is intuitive, and the ready‑made actors cover almost everything I need. I like that I can set up workflows without writing complex code.
Apify has saved me a huge amount of time. The interface is intuitive, and the ready‑made actors cover almost everything I need. I like that I can set up workflows without writing complex code.
What do you dislike about the product?
Sometimes the documentation feels a bit scattered, so it takes a moment to find the exact example I need.
Also you need to read a lot in order to chose the correct tool that most probably will help you.
Also you need to read a lot in order to chose the correct tool that most probably will help you.
What problems is the product solving and how is that benefiting you?
I’m very satisfied — the platform is stable, fast, and helps me automate tasks that used to take hours.
Apify Makes Python Scraping Easy—and Lets Me Publish Actors
What do you like best about the product?
I love Apify because it saves me from having to build scrapers from scratch, and I can write my scrapers in Python, which fits seamlessly into my existing workflow. I also appreciate that I can publish my own Actors to the marketplace and potentially earn from them as well.
What do you dislike about the product?
I end up paying for compute time even when a big chunk of that time is just spent waiting for slow pages to load, which feels pretty wasteful. I also can’t always rely on a third-party Actor for sensitive scraping tasks, because I don’t fully control what it’s doing behind the scenes. And for simple, small-scale scraping, it honestly feels like overkill—I’d rather just run my own script.
What problems is the product solving and how is that benefiting you?
Apify takes the burden off my plate when it comes to provisioning servers, managing browser instances, and handling failures. Its structured datasets, built-in export options, and results API make it easy to pull data and plug it straight into my backend or analysis workflow, without having to write a bunch of glue code in between.
Apify Supercharged Our Lead Generation with Automated Crawlers
What do you like best about the product?
We use Apify to run automated crawlers that gather data from multiple sources, clean and normalize the results, and export them into structured formats like CSV or JSON. This data is then integrated into our outreach and CRM workflows, where we use it for prospecting, qualification, and targeted campaigns.
Overall, Apify helps us scale our lead generation efforts, reduce manual work, and maintain a consistent pipeline of relevant prospects.
Overall, Apify helps us scale our lead generation efforts, reduce manual work, and maintain a consistent pipeline of relevant prospects.
What do you dislike about the product?
However, the platform has a noticeable learning curve, especially for non-technical users. Setting up actors, handling errors, and navigating logs can be challenging at first. The interface can also feel a bit cluttered when managing multiple tasks. So while it’s highly capable, it takes some time and experience to use it comfortably and effectively.
What problems is the product solving and how is that benefiting you?
The main business problem Apify solves for us is access to high-quality, up-to-date lead data at scale. Manually collecting this information would be extremely time-consuming and inconsistent. With Apify, we’re able to automate the extraction of key data points such as company names, product details, websites, and social profiles, which significantly improves both efficiency and accuracy.
Super Easy Competitor Social Scraping for Actionable Intelligence
What do you like best about the product?
to scrape competitors, makes analying socials of competitors, makes it super easy to get data and intelligence
What do you dislike about the product?
Prepaid credits do not roll over to the next month
What problems is the product solving and how is that benefiting you?
It converts chaotic web pages into clean text and JSON, automates the extraction of massive datasets, providing the fresh, high-quality training data, It bypasses anti-bot walls and complex site structures, serving as the "eyes" that allow AI agents to reliably fetch real-time answers
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