Dexi.io with Mozenda vs. Tracxn

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.

Incentivized

Well suited: - Good for scouting targets for clients, based on their industry preferences, maturity level, and investor profile preference - Helped in buy-side due diligence. Less appropriate - Lacking in terms of readily available insights, with sector reports published in-house being extremely shallow and hence not much of value addition.

Incentivized

• 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.

• Data management
• User friendly
• User centric

Incentivized

• 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

Incentivized

• Sector reports could be better e.g. competitors like CB Insights do a better job at it.
• Pricing is a bit steep, when compared to peers like Dealroom.
• Credibility of the data is a question mark (CB Insights has way more traction with investors).

Incentivized

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.

This beats all of the other programs. I have used all of them and Tracxn makes using the software so much easier. Using it daily I found out that it has an easy learning curve and a user-friendly interface. Data is more organized in this program as well.

Incentivized

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

Incentivized

• Positive: Reduced time to source information.
• Positive: Helped in sharper insights, leading to better outcomes on scouting engagements.
• Negative: Pricing is on the higher side.

Incentivized