The Apify web scraping, data extraction, and automation platform
Apify Web scraping and AI agent platformReviews from AWS customer
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Reliable Platform for Scalable Search and LinkedIn Data Collection
What do you like best about the product?
What I like most about Apify is that it makes web data collection scalable and repeatable without forcing us to build everything from scratch. The ready-made actors are especially useful for use cases such as Google Search monitoring, LinkedIn research, lead generation, and competitor tracking.
The biggest benefit for us is the time savings. Rather than manually collecting and organizing data, we can automate the process, schedule recurring runs, and export results in formats like CSV, Excel, JSON, or Google Sheets. The API access is also a major plus, since it lets us connect scraped data to our internal workflows and reporting tools.
Overall, Apify stands out because it brings flexibility, automation, and usability together in one platform. It helps our team get more consistent data, move through research cycles faster, and scale data collection without adding extra manual effort.
The biggest benefit for us is the time savings. Rather than manually collecting and organizing data, we can automate the process, schedule recurring runs, and export results in formats like CSV, Excel, JSON, or Google Sheets. The API access is also a major plus, since it lets us connect scraped data to our internal workflows and reporting tools.
Overall, Apify stands out because it brings flexibility, automation, and usability together in one platform. It helps our team get more consistent data, move through research cycles faster, and scale data collection without adding extra manual effort.
What do you dislike about the product?
What I dislike about Apify is that some workflows can still feel quite technical, especially for non-engineering users. Setting up certain actors, configuring inputs properly, choosing the right proxy settings, and understanding usage limits often takes some trial and error.
Another downside is that scraper reliability can vary depending on the target website. With sources like Google Search or LinkedIn, changes in page structure, access rules, or rate limits can lead to failed runs or incomplete results. That’s understandable with web scraping, but it still means you need to monitor runs and do occasional troubleshooting.
The cost structure can also be hard to predict before running larger jobs. More upfront cost previews, clearer error messages, and more guided setup steps would make the platform easier to use and reduce uncertainty, especially for business users.
Another downside is that scraper reliability can vary depending on the target website. With sources like Google Search or LinkedIn, changes in page structure, access rules, or rate limits can lead to failed runs or incomplete results. That’s understandable with web scraping, but it still means you need to monitor runs and do occasional troubleshooting.
The cost structure can also be hard to predict before running larger jobs. More upfront cost previews, clearer error messages, and more guided setup steps would make the platform easier to use and reduce uncertainty, especially for business users.
What problems is the product solving and how is that benefiting you?
Apify helps us solve the challenge of manually collecting and organizing web data from sources like Google Search and LinkedIn. Before using it, these tasks took a lot of repetitive research, copying, cleaning, and formatting. With Apify, much of that work is automated, and we get structured data that’s easier to analyze and put to use.
The biggest business benefit for us is improved efficiency. Our team can gather search results, company information, job postings, prospect data, and competitor insights far faster than we could manually. This directly supports lead generation, market research, recruiting intelligence, and competitor monitoring.
It also lets us scale our research without adding extra headcount. By scheduling recurring runs and exporting data into tools like CSV, Excel, JSON, or Google Sheets, we can keep information current and make decisions more quickly. Overall, Apify saves time, improves data consistency, and helps our team spend more time on analysis and outreach instead of manual data collection.
The biggest business benefit for us is improved efficiency. Our team can gather search results, company information, job postings, prospect data, and competitor insights far faster than we could manually. This directly supports lead generation, market research, recruiting intelligence, and competitor monitoring.
It also lets us scale our research without adding extra headcount. By scheduling recurring runs and exporting data into tools like CSV, Excel, JSON, or Google Sheets, we can keep information current and make decisions more quickly. Overall, Apify saves time, improves data consistency, and helps our team spend more time on analysis and outreach instead of manual data collection.
Apify Makes Scalable Web Scraping Effortless with Reliable Proxy Rotation
What do you like best about the product?
Apify makes it incredibly easy to scale our web scraping operations. Their built-in proxy rotation is highly reliable and handles IP bans flawlessly. It has saved our team countless hours that we would have otherwise spent managing custom scraping infrastructure, allowing us to focus on extracting and analyzing the data rather than dealing with request blocks.
What do you dislike about the product?
The learning curve can be a bit steep for absolute beginners. While the pre-built Actors are extremely helpful for standard use cases, building a custom scraper from scratch requires a solid understanding of Node.js or Python, which might be a bit challenging if you don't have a technical background.
What problems is the product solving and how is that benefiting you?
We use Apify to automate our market research and competitor price tracking. Before Apify, we struggled with building robust scrapers that would break frequently due to website structure changes or IP blocks. Apify's reliable platform, scheduling features, and proxy management resolved these issues, reducing our scraper maintenance time by 80% and allowing us to gather clean, structured data on a daily schedule.
Apify Delivers a Fantastic Developer Experience with a Rich Actor Ecosystem
What do you like best about the product?
What I like best about Apify is the overall developer experience. The platform has excellent documentation, a very good CLI, strong MCP support, and a huge ecosystem of ready-made Actors and integrations. It makes building scraping and automation workflows much faster compared to doing everything manually.
I also like how easy it is to experiment and build creative projects on Apify. The platform is flexible enough for both simple monitoring tasks and larger automation workflows. On top of that, the community and developer events around Apify are very active and helpful.
I also like how easy it is to experiment and build creative projects on Apify. The platform is flexible enough for both simple monitoring tasks and larger automation workflows. On top of that, the community and developer events around Apify are very active and helpful.
What do you dislike about the product?
One thing I dislike about Apify is the way Actor earnings and negative balances are handled for developers. Sometimes if one Actor goes into negative profit, it can affect overall earnings for a long time before adjustments are processed. I would prefer a shorter settlement cycle, like weekly instead of monthly.
Another issue is that some community Actors can vary in quality and reliability, so it occasionally takes time to find the best solution for a specific use case. Better discovery and quality ranking for Actors would improve the experience further.
Another issue is that some community Actors can vary in quality and reliability, so it occasionally takes time to find the best solution for a specific use case. Better discovery and quality ranking for Actors would improve the experience further.
What problems is the product solving and how is that benefiting you?
Apify helps us solve the problem of collecting and monitoring public feedback from many platforms in one automated workflow. We use it to track discussions, reviews, complaints, and sentiment from Reddit, Google Reviews, X (Twitter), Quora, Instagram, Threads, and Glassdoor.
Without Apify, this work would require a lot of manual searching and monitoring every day. With automation, we can find customer feedback faster, monitor competitor products more efficiently, and identify product issues earlier. This saves time, improves visibility into customer sentiment, and helps us make better product decisions.
Without Apify, this work would require a lot of manual searching and monitoring every day. With automation, we can find customer feedback faster, monitor competitor products more efficiently, and identify product issues earlier. This saves time, improves visibility into customer sentiment, and helps us make better product decisions.
Apify Is a Game-Changer for Automation: Huge Actor Store, Seamless API, Strong Performance
What do you like best about the product?
The Apify Store is a game-changer — thousands of ready-made actors mean I rarely have to build scrapers from scratch. The API integrates seamlessly into my n8n automation workflows, and the new MCP server support lets AI agents access scraping tools directly, which saves hours of manual work every week. Performance on large crawling jobs is consistently solid, and the documentation is thorough enough that onboarding is straightforward even for complex use cases. The AI/intelligence direction Apify is heading — especially with the MCP integration — makes it one of the most forward-thinking platforms in the automation space.
What do you dislike about the product?
The pricing model can become costly quickly once you scale up — compute unit consumption adds up faster than expected, and there's no very affordable middle tier between the free plan and the paid options. This makes it harder to justify for smaller projects or budget-conscious teams. The UI could also be more intuitive; navigating between actors, runs, storage, and settings feels a bit fragmented at times, especially for new users. A cleaner dashboard overview and more granular cost monitoring per workflow would go a long way in improving the overall experience.
What problems is the product solving and how is that benefiting you?
Before using Apify, collecting data from websites required building and maintaining custom scrapers from scratch — time-consuming and fragile. Apify solves this by providing a reliable infrastructure for web scraping and browser automation that I can plug directly into my existing workflows. I integrate Apify via API into n8n to automate data collection pipelines that previously took hours of manual work. The MCP server integration is a particular game-changer: my AI agents can now trigger scraping tasks autonomously, extracting structured data from social media, e-commerce sites, and search engines in real time. This has reduced data collection time by a significant margin and allowed me to scale automation projects that simply weren't feasible before.
Apify Makes Scalable Scraping Workflows Fast and Reliable
What do you like best about the product?
What I like best about Apify is how easy it makes scaling and managing scraping workflows. The platform handles infrastructure, proxies, scheduling, and reliability really well, so we can focus on building products instead of maintaining scrapers. The developer experience is also excellent — fast to build, deploy, and iterate.
What do you dislike about the product?
The main downside is that the dashboard can become a bit cluttered when managing many actors and runs at scale.
What problems is the product solving and how is that benefiting you?
Apify solves the complexity of building and maintaining reliable web scraping infrastructure — things like proxy rotation, scaling, scheduling, retries, and deployment.
For us, that translates into faster development cycles, lower operational overhead, and more stable data pipelines. Instead of spending time on infrastructure and scraping edge cases, we can focus on using the data for product features, analytics, and automation. It has also made it much easier to scale data collection without increasing engineering effort proportionally.
For us, that translates into faster development cycles, lower operational overhead, and more stable data pipelines. Instead of spending time on infrastructure and scraping edge cases, we can focus on using the data for product features, analytics, and automation. It has also made it much easier to scale data collection without increasing engineering effort proportionally.
Great Dashboard, Flexible Pricing, and a Huge Variety of Prebuilt Scrapers
What do you like best about the product?
Great dashboard for seeing the results of API requests and covers all of the scraping issues you'd face if you implemented it from scratch. Nice to have a competitive market and for it to be priced per result. Huge variety of prebuilt scrapers and the SDK to add your own works well.
What do you dislike about the product?
Some scrapers are not as well maintained as they could be. Would like to see bulk pricing for when requests grow to a large number and more Apify maintained scrapers as a sign of quality.
What problems is the product solving and how is that benefiting you?
Scraping infrastructure to save rebuilding this internally for our team. We can rely on their code and monitor the results in a dashboard, with team permissions and transparent pricing
Game‑changer for AI automation and web data workflows
What do you like best about the product?
The combination of ready-made Actors and the flexibility to build custom ones is what I value most. The marketplace of pre-built scrapers and automations lets us prototype fast, then harden solutions with our own code when the use case proves itself. Scheduling, logging, and proxy management are all handled in one place, so we focus on logic and outcomes instead of infrastructure. The platform makes it straightforward to turn almost any website into an API and plug that data directly into LLMs, CRMs, and marketing stacks, which has saved us countless hours of manual work and brittle in-house scripts.
What do you dislike about the product?
Honesty is important for a fair review, so while I have few major complaints, there are some areas where I think improvements could be made. The pricing can add up quickly when you're running heavy workloads at scale with premium proxies, which can be a consideration for smaller clients still proving their ROI. Additionally, while the documentation is generally good, some of the more advanced custom Actor patterns could use more detailed examples and step-by-step guides for common edge cases. The learning curve for first-time users building custom Actors is steeper than the platform suggests. Finally, the develop-locally-and-push workflow could be smoother with better IDE integration and real-time debugging tools, especially when working across distributed teams.
What problems is the product solving and how is that benefiting you?
Apify is solving several critical problems for our AI automation workflows. Before using it, we relied on brittle in-house scraping scripts that would break constantly and required ongoing maintenance. Apify replaced all of that with reliable, scalable web data extraction that plugs directly into our LLMs, CRMs, and marketing stacks. It's benefits us by turning what used to be days of manual data gathering into automated, scheduled workflows that run reliably in the background. For client projects, it means we can prototype data extraction solutions in hours instead of weeks, which has dramatically shortened our sales cycles and improved client retention. The proxy management and anti-blocking capabilities alone have saved us from countless hours of debugging failed requests.
Apify: A Game-Changer for Data Automation and Scalable Workflows
What do you like best about the product?
Apify has been a game-changer for my business. It’s made collecting and automating data so much easier, saving me hours of manual work. The platform is reliable, flexible, and super powerful once you start using it. Highly recommend it to anyone looking to streamline their workflows and scale more efficiently.
What do you dislike about the product?
UI/UX is not beginner friendly, thats the only downside
What problems is the product solving and how is that benefiting you?
1. Powerful web scraping at scale
Apify makes it easy to extract data from websites—even complex or dynamic ones. Whether you're pulling leads, product data, or social media insights, it handles large-scale scraping reliably.
2. Automation that saves serious time
You can automate repetitive workflows (like data collection, monitoring, or updates), which frees up hours in your week and keeps your business running more efficiently in the background.
3. Flexible + developer-friendly ecosystem
With ready-made “Actors” and the option to build custom ones, Apify works for both beginners and advanced users. It integrates well with other tools, making it easy to plug into your existing systems and scale as you grow.
Apify makes it easy to extract data from websites—even complex or dynamic ones. Whether you're pulling leads, product data, or social media insights, it handles large-scale scraping reliably.
2. Automation that saves serious time
You can automate repetitive workflows (like data collection, monitoring, or updates), which frees up hours in your week and keeps your business running more efficiently in the background.
3. Flexible + developer-friendly ecosystem
With ready-made “Actors” and the option to build custom ones, Apify works for both beginners and advanced users. It integrates well with other tools, making it easy to plug into your existing systems and scale as you grow.
Pre-Built Actors and a Clean API That Just Works
What do you like best about the product?
Pre-built actors. Clean API. Just works.
What do you dislike about the product?
No middle ground between cap & upgrade..
What problems is the product solving and how is that benefiting you?
Cuts time-to-proposal from hours to mins.
Flexible scraping that saves time
What do you like best about the product?
What I like best about Apify is how flexible it is for real-world scraping tasks. The ready-made actors save time, and you can easily customize workflows when needed. It’s especially helpful for automation—once set up, tasks run reliably in the background and reduce a lot of manual work.
What do you dislike about the product?
One downside is that there’s a bit of a learning curve, especially if you’re new to scraping or automation. Some setups can take time to get right, and debugging isn’t always straightforward. Pricing can also add up depending on usage, so it takes a bit of monitoring to keep costs under control.
What problems is the product solving and how is that benefiting you?
Apify helps us automate data collection and scraping, which would otherwise take a lot of manual time. It’s especially useful for gathering large volumes of data consistently, whether for research, monitoring, or lead generation. This saves time, reduces human error, and lets us focus more on analysis and decision-making instead of repetitive tasks.
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