Apify Reviews & Product Details

The most helpful aspect of Apify is the combination of a powerful cloud infrastructure and the extensive Actor Store. It effectively handles complex anti-scraping measures like browser fingerprinting and proxy rotation automatically. Being able to deploy pre-built scrapers for major sites in minutes, rather than writing custom code for weeks, is a massive upside for our productivity. Review collected by and hosted on G2.com.

The credit-based pricing system can be somewhat difficult to predict for complex, large-scale crawls, which makes budgeting a bit of a challenge. Additionally, while the platform is incredibly powerful, the sheer number of features creates a steep learning curve for non-technical team members who just need to download a simple dataset. Review collected by and hosted on G2.com.

What I like best about Apify is how quickly I can go from idea to actual data. For things like Google Maps scraping, I don’t need to build a crawler from scratch, I can just use an existing actor, set my search keywords and locations, and start getting results in minutes.

The platform handles things like proxies, browser automation, and blocking much better than most DIY setups. I also like that the data comes out clean in JSON, CSV, or Excel, which makes it easy to use in my own tools and dashboards. Overall it saves a lot of engineering time compared to running and maintaining my own scrapers. Review collected by and hosted on G2.com.

One thing I don’t like is that the pricing can become expensive when you run scrapers at scale, especially for data-heavy sources like Google Maps where a lot of proxy and compute usage is required. If you’re running large jobs or frequent crawls, the costs add up quickly.

I also found that some actors can fail or return partial data when Google changes something, so you sometimes have to rerun jobs or tweak settings. It’s not a deal breaker, but it does mean you still need to monitor runs instead of treating it as completely hands-off. Review collected by and hosted on G2.com.

I love Apify’s interface and usability, which sets it apart from other platforms that tend to be difficult to navigate. This user-friendly design made it easy for me to get accustomed to the software right from the start. Apify has greatly simplified my ability to access lead data for my outbound outreach campaigns, specifically when scraping LinkedIn profile data. Its ease of use is invaluable, especially compared to my previous experience with other products like ScrapeNinja, which didn't perform as effectively. I also feel confident in recommending Apify to others based on its strong points, and I rate it highly due to these features. Review collected by and hosted on G2.com.

I find the API side of Apify could be improved in terms of ease of use. Integrating actors with some automation platforms like n8n can get complicated at times. Additionally, the API documentation could be simplified to make it easier for users to understand and implement. Review collected by and hosted on G2.com.

Apify provides an excellent balance between flexibility and infrastructure. I can build custom Actors for complex data extraction without worrying about servers, scaling, proxy rotation, retries, or failures. The SDK, scheduling, webhooks, datasets, and API access make it easy to go from idea to production very fast. It saves a huge amount of development and maintenance time. Review collected by and hosted on G2.com.

Apify offers multiple pricing plans and usage based components, which can sometimes feel a bit complex or confusing at first. For new users, understanding how different plans, compute units, and add on services interact may require extra time. Clearer upfront guidance or simpler pricing tiers would help reduce this learning curve. Review collected by and hosted on G2.com.

- ready-to use templates or services

- faster delivery

- the ability to publish SaaS or automation Actors (services) Review collected by and hosted on G2.com.

- the pricing docs / structure

- for developers: dynamic select options rather than static options in the json file

- for UX: there are inputs that depend on another input value and thus based on the input value we shall show only the relevant inputs, for example an input 1 is a select input that has 2 options (option 1 and option 2), based on it's value I shall show input 2 and input 5 if I select option 1, and I shall show input 3 and input 4 if I select option 2, what happens is that we display all the inputs (input 1, input 2, input 3, input 4, input 5) Review collected by and hosted on G2.com.

What I like best about Apify is how it combines power, flexibility, and reliability in one platform. The ready-made actors make it easy to get started quickly, while the option to build custom actors allows us to handle complex, real-world use cases. It handles dynamic websites extremely well, scales without infrastructure headaches, and fits seamlessly into our existing workflows—helping us move faster and focus on insights rather than manual data collection. Review collected by and hosted on G2.com.

What I dislike about Apify is that some advanced use cases come with a steeper learning curve, especially for non-technical users. Debugging failed runs can also take time, as logs are detailed but not always easy to interpret quickly. Additionally, at higher usage levels, cost predictability requires close monitoring, which means teams need to plan and optimize runs carefully. Review collected by and hosted on G2.com.

The sheer versatility of the platform is unmatched. I was able to build a sophisticated "Intelligence Engine" using Playwright and PDF parsing while staying within a 1GB RAM footprint. The "Bring Your Own Key" (BYOK) AI flexibility is a huge advantage, allowing me to build scalable tools without worrying about vendor lock-in or high compute costs. Review collected by and hosted on G2.com.

The learning curve for the metadata and input schemas is quite steep. The platform is very strict about naming conventions (like dataset names needing specific hyphenation) and mandatory description fields. While it ensures high-quality tools in the Store, it can be a bit frustrating for new developers during the first few builds. Review collected by and hosted on G2.com.

I’ve been using Apify mainly for YouTube Scraper and Instagram Scraper, and overall, the experience has been very positive. The platform is easy to use, cloud-based, and offers ready-made scrapers that save a lot of time. The Instagram Scraper works smoothly for pulling posts, hashtags, and comments, while the YouTube Scraper is great for extracting video data without much hassle. I also appreciate that Apify provides scalability, scheduling options, and integration with APIs, which makes automation feel effortless. Review collected by and hosted on G2.com.

There are a few things that could be better. Pricing can get expensive if you’re running large-scale scrapes, and sometimes the scrapers need tweaking when platforms change their structures. Review collected by and hosted on G2.com.

What I like best about Apify is the extensive library of pre-built Actors. It completely removes the barrier to entry for complex web scraping. Instead of coding from scratch, I can deploy a reliable solution in minutes. This ecosystem, combined with their robust cloud infrastructure, makes data extraction incredibly efficient and scalable for our business. Review collected by and hosted on G2.com.

While Apify is powerful, the initial learning curve for custom coding can be steep. However, their excellent documentation and pre-built templates quickly solve this issue. Once you understand the logic, the flexibility it offers is unmatched. I appreciate how the platform balances advanced features with enough support to overcome any technical challenge. Review collected by and hosted on G2.com.

Apify gives me a reliable “web data layer” without having to run my own scraping infrastructure. Actors handle proxies, captchas, and scheduling, and I just wire the JSON into Make, CRMs, or databases. It is flexible enough for custom use cases but still easy to manage day to day. Review collected by and hosted on G2.com.

There is a learning curve for non-technical users, especially around actors and datasets. When you manage many actors, the UI can feel a bit crowded and I wish there were stronger built-in dashboards and alerting. None of these are deal breakers, but they are areas that could improve. Review collected by and hosted on G2.com.