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.

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.

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.

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

What do you like best about the product?

Templates and low price and nice customer service

What do you dislike about the product?

Can't delete code in source section and affiliate program it's difficult to join

What problems is the product solving and how is that benefiting you?

Google Map scraper

What do you like best about the product?

Easy to set up actors, flexible automation tools, and good integration options for scraping workflows.

What do you dislike about the product?

Our experience with Apify’s Twitter scraper started positively, but over time it became extremely disappointing and costly due to multiple issues that directly affected reliability and budget control.

1. Parameters not working as expected
Many of the parameters provided by the actor did not behave consistently. Even when we configured limits such as maximum items to fetch, the scraper did not always respect them. This made it very difficult to rely on the actor in a production workflow where predictable behavior is critical.

2. Unnecessary fetching that wasted our budget
On several occasions the scraper fetched thousands of tweets even though strict limits were configured. These runs consumed a large amount of resources and unexpectedly increased our costs. What made this worse was that these fetches were not intentionally triggered by us, yet the platform still charged for them. When we raised the issue, there was no meaningful resolution or refund, even though the behavior clearly went beyond the configured limits.

3. Fetching outdated tweets instead of recent ones
Another recurring issue was that the scraper frequently returned old tweets instead of the latest ones, even when using options intended to retrieve the most recent results. For time-sensitive workflows this makes the data unreliable. We often saw situations where tweets from the previous day appeared while tweets posted within the last hour were missing entirely.

4. Uncertain and inconsistent scraper behavior
The overall behavior of the Twitter scraper felt unpredictable. Identical configurations would sometimes produce completely different results between runs. Some runs would miss relevant tweets, while others would return irrelevant or outdated data. This level of inconsistency makes it difficult to trust the tool for automated systems.

While Apify provides a capable platform and a developer-friendly interface, the lack of strict control over limits, unreliable scraping results, and poor cost safeguards created serious operational issues for us. For any system that depends on predictable data collection and controlled spending, these problems can become very costly very quickly.

Until stronger safeguards, clearer parameter behavior, and better cost protection mechanisms are implemented, it is difficult to recommend relying on the Twitter scraper for production-critical workflows.

What problems is the product solving and how is that benefiting you?

We want the tweets of several profiles and it helped to scrap tweets at affordable cost

What do you like best about the product?

The platform is a powerful way to automate web data collection, and it makes deploying scraping workflows much faster than building and maintaining custom infrastructure. It’s especially helpful when you combine scraped data with automation tools to support lead generation, research, or monitoring workflows. ≈

What do you dislike about the product?

There’s a bit of a learning curve when working with different actors, but once everything is set up, the platform runs reliably and saves me a significant amount of time.

What problems is the product solving and how is that benefiting you?

Apify has accelerated my data-driven workflows by making it straightforward to collect, store, and integrate web data into automated pipelines and broader business processes.

What do you like best about the product?

I love the various features I can use but most importantly the Google maps scraper that has helped me scrape a ton of leads for my business

What do you dislike about the product?

I don't dislike anything about the product.

What problems is the product solving and how is that benefiting you?

Saves 100s of hours trying to get leads for my business by manually scraping Google Maps.

What do you like best about the product?

Apify saved us from doing competitive research by hand. We set up the Facebook Ad Library scraper to run on a schedule — it pulls live ad data across dozens of brands in seconds, automatically. What used to take an afternoon of manual browsing now happens before we open our laptops. The more useful thing, though, is that it runs whether we remember to check or not. For a small team with too many things to track, that's the part that actually matters.

What do you dislike about the product?

Where it's less appropriate: anything requiring real-time data. The scheduling and run queues introduce latency that makes it unsuitable for anything time-sensitive. It's also not the right tool when you need highly customized extraction logic on a platform that doesn't have a maintained actor, building and maintaining your own actor is more work than it looks.

What problems is the product solving and how is that benefiting you?

1. Competitive research that used to take a full afternoon now runs automatically in the background. We stopped paying attention to that task entirely, it just happens.

2. We caught a gap in our market early. One scraper run showed us that most competitors in our space were running fewer than 5 active ads. We scaled our own campaigns while that window was open. Hard to put an exact number on that, but the timing mattered.

3. The biggest ROI is honestly just not having to build and maintain scrapers ourselves. Every homegrown script we've written has broken within a month. Apify actors stay maintained by people whose only job is that specific site. That reliability compounds over time, you stop budgeting engineering hours for something that should just run.

What do you like best about the product?

Tons of choice, flexibility, great value for money - very affordable, good customer support. Easy to use manually, easy to integrate too.

What do you dislike about the product?

No strong dislikes, but you may come across some faulty actors

What problems is the product solving and how is that benefiting you?

Using Apify in my marketing agency for scraping, enrichment, automation and research.

What do you like best about the product?

There are ready made web scrapers and automation bots

What do you dislike about the product?

Free tier is limited, usage based building

What problems is the product solving and how is that benefiting you?

There is a huge amount of useful data spread across on internet which is scattered across different websites