Apify vs. Fortra’s Automate vs. ScrapeStorm

Apify is great when I need to collect data from public websites and get the export in a structured format, such as product catalogs, contacts, and location details, and if that data must be exported on a regular basis, the same actor can be reused again and again. However, when I need just a one-off task or information, Apify is less useful, as writing a script directly is much faster and cheaper. The platform is also less useful, when the website or provider where I need data in a structure format, has already some sort of an API or MCP connection available, then it makes sense just using the API I need, rather then a web scraper.

It's great for repetitive or regularly scheduled activities like reports or file transfers. However, it's not so good for on-demand activities. It doesn't support task shortcuts to run specific tasks. If it did it would be perfect.

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• They feature a massive actor library, so you don't have to build everything from scratch or maintain it.
• Scheduling + web hooks makes automating data collection super easy.
• Easy to scale from small tests to much bigger scraping jobs and fairly cheap to scale.

• Very detailed task builder. Easy to read step by step a task's operation even if you don't have much programming knowledge.
• Scheduling for automation jobs is very flexible. Allows us to create all kinds of job schedules as needed.
• Organization of jobs, tasks, conditions is done well. Allows us to easily manage our items.

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• I think monetization part needs some improvement. Sometimes it stops working.
• Second issue is that when you run actor locally on your device using Apify run command, it runs fine and does not show errors. However, when you run on Apify platform, it starts showing error that this python based library is not supported etc. I think, error logging needs to be improved.
• Issue support is very slow. If you create an issue it takes a lot of time that somebody reply.
• Automated testing also needs to be improved. Testers run simple tests and if extra keys are used or something else, test is failed.

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• A reporting capability on tasks: enabled, disabled, by folder, by trigger, etc. Currently there is none.
• An "OR" in their conditional statements - currently there is only "AND".
• Some kind of temporary backup when changing a task - separate from the current back up/restore functionality (which works well).

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It's the best because you can just load in a limited amount of money and limit your financial exposure to using a tool like this. so renewing isn't a big consideration... i know that i'm going to need the tool in the future and i'll load it with money accordingly when im ready.

Extremely easy when connected via MCP with Claude Co-Work. I do not really understand the Apify website itself. It's a bit confusing, but when I use Claude as an operator and translator, it is absolutely a game-changer. Whenever I have an issue, I ask Claude to connect to Apify and ask what the best way for me to do things is. Should I use the Google Maps scraper in this area or this area? Which one has the highest chance of giving me the best results that I need? Claude's code can completely simplify the whole process, which makes the whole thing a lot easier for me to make faster and better decisions. I do not know what I would do now without Apify. My business cannot even be a business without it.

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It's just very easy to use, extremely versatile, and very reliable. It's hard to find use cases where it won't work.

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We never needed to contact support directly because the platform was always clear and easy to use. The documentation is thorough, there are plenty of how-to guides, and YouTube.

Support is very helpful and responsive, although using the tool is very user-friendly, so I hardly use the service.

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1. Strategy for Anti-Blocking & Proxies 2. Cost Optimization (Compute Units) 3. Data Management & Storage

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I use Oxylabs and ScraperAPI as paid backup tools; I also have backup parsers on my own VPS, set up to run on a timer. They solve the problem of retrieving data but do not help to present it as a product or find a buyer. I chose Apify because it turns a parser into something you can sell, and the proxies come as part of the infrastructure. Running your own infrastructure is cheaper—until you factor in the hours spent maintaining it.

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• Apify has delivered great ROI from the sheer time saved by not having to do even short-ish tasks manually.
• By saving us from repetitive data entry, we can focus on much bigger things while Apify runs in the background.
• The risk-free actor pricing structure lets us test and deploy new automated pipelines with zero upfront commitment.

• It's been a net positive as AutoMate requires less eyes on specific tasks so that people can focus attention elsewhere and do more analysis.
• Less manual work also decreases the chances of mistakes and/or missed jobs. Since Automate can schedule everything, send email notifications, etc., there is less time wasted.

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