Apify vs. Dexi.io with Mozenda

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.

The Mozenda platform is well suited to some specific scenarios that may work well for your organization. It is especially helpful for basic scraping of information from simple websites. If the information you need to obtain is clearly stated on a website, then Mozenda is a simple solution to capture that data quickly and easily.

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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.

• Action Items. Mozenda is broken down into a series of actions that can be performed on a page. Some actions take you to other pages. The action list, while short, provides a comprehensive set of tools for scraping just about any website (I haven't met one where it didn't work yet).
• Error Handling. I've used some scraping tools that have virtually no error handling. Mozenda has great error handling; the software almost always pinpoints the exact action where the agent failed and why.
• Speed. Mozenda is very fast at obtaining results. Other "bot" software can be slow and cumbersome but Mozenda plows through pages rapidly and accurately aggregates information.
• XPath compatibility. One of the most powerful features of Mozenda is the integrated ability to use XPaths to get at the exact bits of information we're after on a particular website. Access to visible information is only limited by imagination.

• 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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• The user interface for managing agents can be improved
• When websites change, the agents could be better at dynamically updating
• The "credit" usage can be confusing

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Independently Invited by TrustRadius

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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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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.

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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I'm only personally experienced with UBot Studio and Scrapy. UBot Studio isn't a bad application, though it has quite a large number of bugs when compared to Mozenda. UBot touts itself as low-code, but requires a significant understanding of programming logic to use the program effectively. Using UBot, we were able to get virtually all the results we wanted, but at a much higher labor cost than Mozenda. During initial implementation of UBot, it took me a full week to develop a particularly complicated agent. Using Mozenda, I was able to recreate the same agent in 4 hours. The ROI has been remarkable, and Mozenda really is a low-code platform.

• 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.

• Stay relevant in the market
• Ensure product placement against competitors
• Dramatically enhance profitability

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info