PhantomBuster is noted by a small number of reviewers as a tool used alongside or in evaluation with Apify. Reviewers often pair it with other data-focused platforms, suggesting its utility in a broader data collection or lead generation workflow.

A few reviewers have identified Bright Data as another product they have used or considered in the same space. Its mention alongside other data-centric tools implies its role in data acquisition strategies.

Apollo.io is mentioned by some reviewers as a tool evaluated alongside Apify, often in combination with other sales and lead generation platforms. This suggests its perceived value in sales intelligence and contact data enrichment.

Reviewers occasionally cite Clay as a product they have experience with, often in conjunction with other data and sales tools. This indicates its use within a broader ecosystem for data aggregation or lead management.

Apify is widely recognized for its ability to dramatically reduce the time spent on data-related tasks, with 51% of reviewers reporting significant time savings. Users frequently noted that the platform transforms multi-hour manual processes, such as data gathering and lead sourcing, into automated operations completed in minutes or hours. This efficiency allows teams to reallocate labor from repetitive tasks to more strategic activities.

Reviewers frequently incorporate n8n into their technology stacks, often using it for workflow automation and integration with other APIs and data platforms. The tool is seen as a versatile component in complex data processing and automation workflows, frequently appearing alongside various AI platforms, data tools, and cloud services. Its mixed sentiment likely reflects its role as an integration layer whose overall value is tied to the broader ecosystem it connects.

Anthropic Claude is a notable AI platform regularly used by 12% of reviewers, often in conjunction with other large language models and development tools. Its inclusion in various tech stacks indicates a reliance on advanced AI for tasks such as content generation or data analysis. The mixed sentiment suggests that while it's a valued component, its application might be specialized or its performance evaluated in comparison to other AI offerings.

The OpenAI API Platform is a commonly used tool, cited by 10% of reviewers, indicating its role in integrating AI capabilities into custom applications and workflows. It is frequently paired with other cloud platforms, automation tools, and data services, suggesting its use in developing AI-driven solutions. The mixed sentiment implies that while it is a powerful resource, its implementation or specific use cases might present varying degrees of satisfaction.

Apollo.io is utilized by 4% of reviewers, primarily in conjunction with other sales and automation tools, suggesting its role in lead generation, sales engagement, or data enrichment processes. Its appearance alongside tools like n8n and LinkedIn Sales Navigator points to its integration into broader sales and marketing automation workflows. The mixed sentiment could reflect the specific use cases or the perceived value within a larger sales tech stack.

Supabase is mentioned by 4% of reviewers, often alongside development platforms and other integration tools, indicating its use as a backend service for building applications. Its presence in these lists suggests its utility for database management, authentication, or real-time functionalities. The mixed sentiment may stem from its specific application within development projects or comparison with alternative backend solutions.

Reviewers extensively use Apify for extracting and scraping data from websites, social media, and other online platforms. This capability is crucial for building data pipelines, enriching leads, and gathering competitive intelligence, particularly when official APIs are not available for certain sources. The platform is valued for making the process of obtaining structured data smooth and efficient.

Organizations leverage Apify to automate various tasks and seamlessly integrate data into their existing workflows, often using tools like Make.com or n8n. This integration capability allows teams to build complex automations for lead generation, content creation, and data analysis, significantly reducing manual effort. Reviewers appreciate how Apify's APIs and actors simplify the process of connecting data collection with other business processes.

Apify is frequently cited as a go-to solution for web scraping, enabling users to collect data from diverse online sources efficiently. Reviewers find it particularly valuable for overcoming challenges posed by changing website layouts and for gathering information for lead generation and research. The platform is seen as an easy and powerful tool for obtaining structured data without the need for extensive in-house development.

Apify plays a significant role in lead generation and sales processes for many organizations, helping them acquire and qualify leads. By scraping data from platforms like LinkedIn and various directories, users can build targeted lead lists and enrich existing customer profiles. This capability allows sales and marketing teams to focus more on engagement rather than manual data collection and research.

Reviewers frequently utilize Apify to power their lead generation engines and enrich existing lead data, which is a core component of their tech stacks. The platform helps in extracting specific information such as contact details, company insights, and property listings to create intelligent, targeted lead bases. This allows businesses to validate and enhance their leads, improving the effectiveness of outreach campaigns.

A substantial 35% of reviewers express dissatisfaction with Apify's pricing structure, citing its complexity and unpredictability as major drawbacks. Users find it challenging to budget due to varying costs for different actors, credit-based systems that don't roll over, and charges based on execution time, memory, and bandwidth. There is a clear call for more transparent, unified, and understandable pricing models, with some suggesting cheaper tiers or custom plans for lower usage.

Concerns regarding the quality and functionality of actors are raised by 21% of reviewers. Users report issues such as some actors being ineffective, failing to provide accurate data, or lacking specific controls like crawl depth or duplicate result avoidance. There's also a desire for a wider range of high-quality actors, particularly in areas like lead generation, and better guidance on selecting the most appropriate actors for specific use cases.

Approximately 9% of reviewers highlight the need for improved documentation and more accessible learning resources. Users indicate that setting up schemas and understanding API endpoints can be difficult, contributing to a steep learning curve for customization. There is a call for better guides, step-by-step explanations, and more educational content to help users effectively test and evaluate actors.

The user interface and overall ease of use are areas for improvement for 9% of the reviewers. While some find it simple, others, particularly those without a technical background, experience a learning curve with advanced features. Reviewers suggest that the platform's marketplace could improve actor discoverability and that the interface could be more user-friendly and less daunting for newcomers.

About 6% of reviewers point to issues with the reliability and consistency of actors. Users report that some actors frequently break or return irrelevant and voluminous data, necessitating a search for alternatives. This is particularly noted for community-maintained actors, where response times for problem resolution can be slow, affecting the overall efficiency of data extraction.

Reviewers consistently praise Apify's core web scraping functionality, noting its effectiveness in extracting data from complex sources, including those designed to resist scrapers. Its ability to perform social media scraping for platforms like LinkedIn and X (formerly Twitter) is frequently highlighted as a key strength, enabling users to gather large volumes of data quickly.

Users appreciate the breadth of Apify's web scraping capabilities, which extend to various specific data types and platforms. The platform offers a wide catalog of scrapers for diverse purposes, allowing users to extract information such as emails, LinkedIn jobs, YouTube content, and Google reviews with speed and efficiency.

A significant number of reviewers, 22%, commend Apify for its user-friendly design and intuitive interface. They find the platform easy to navigate and implement, often requiring minimal to no coding knowledge to set up and run scraping workflows effectively, contributing to a smooth user experience.

Apify's robust API capabilities and seamless integration options are highly valued by users. Reviewers highlight the ease with which they can connect to the platform's API endpoints, enabling efficient automation and data transfer to other systems.

Reviewers specifically emphasize Apify's strong integrations with popular no-code automation platforms. The ability to integrate with tools like Make.com and n8n allows users to streamline their data workflows and automate tasks effectively, enhancing overall productivity.