Apify is the largest ecosystem where developers build, deploy, and publish data extraction and web automation tools. We call them Actors.
Features & Capabilities
—Crawl websites and extract text content. Supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.
—Extract Google Maps contact details. Scrape websites of Google Maps places for contact details and get email addresses, website, location, address, zipcode, phone number, social media links. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
—Extract data from hundreds of Facebook posts from one or multiple Facebook pages and profiles. Get post URL, post text, page or profile URL, timestamp, number of likes, shares, comments, and more. Download the data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.
—Scrape and download Instagram posts, profiles, places, hashtags, photos, and comments. Get data from Instagram using one or more Instagram URLs or search queries. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
—Extract data about videos, users, and channels based on hashtags or scrape full user profiles including posts, total likes, name, nickname, numbers of comments, shares, followers, following, and more.
—Gets you product data from Amazon. Unofficial API. Scrapes and downloads product information without using the Amazon API, including reviews, prices, descriptions, and ASIN.
—Crawls websites using raw HTTP requests, parses the HTML with the Cheerio library, and extracts data from the pages using a Node.js code. Supports both recursive crawling and lists of URLs. This actor is a high-performance alternative to apify/web-scraper for websites that do not require JavaScript.
—Crawls websites with the headless Chrome and Puppeteer library using a provided server-side Node.js code. This crawler is an alternative to apify/web-scraper that gives you finer control over the process. Supports both recursive crawling and list of URLs. Supports login to website.
—⚡️ Lightning-fast search, URL, list, and profile scraping, with customizable filters. At $0.40 per 1000 tweets, and 30-80 tweets per second, it is ideal for researchers, entrepreneurs, and businesses! Get comprehensive insights from Twitter (X) now!
—Scrape leads from apollo io search results including verified emails and phone numbers. This apollo io data scraping bot helps you to extract leads from your apollo search results without subscribing to costly apollo pricing plans
—Scrape up to 50,000 leads per search URL.
—Scrape linkedin posts or updates from linkedin post search results. Supports advanced linkedin search filters. Extract posts from any linkedin member.
—Companies & Profiles Linkedin scraper. Get comprehensive profiles of individuals and companies based on your keywords and filters. Unleash the power of data! 🌐🔍
Apify is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
How are Apify reviews calculated?
This page shows 57 ratings with an average of about 4.7 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
Where can I browse more agents?
Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
Save 5-10 hours/week on routine coordination tasks
Information Synthesis
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
✓
Reduce research time from hours to minutes
Decision Support
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
✓
Make data-driven decisions faster
Architecture
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
LLM Core
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
Tool Integration
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Memory System
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Orchestration Logic
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Implementation Guide
Prerequisites
›Clear task definition and success criteria
›APIs and tools agent will need to access
›Approval workflows for sensitive actions
›Monitoring and logging infrastructure
Steps
1Define agent scope and capabilities
2Integrate necessary tools and APIs
3Build orchestration logic for task planning
4Test with low-risk tasks in sandbox
5Monitor performance and iterate
Best Practices
✓ Do
+Start with narrow, well-defined tasks
+Monitor agent actions and outcomes
+Provide human oversight for critical decisions
+Iterate based on real-world performance
+Measure ROI: time saved, errors reduced, costs
✗ Don't
−Don't deploy without testing edge cases
−Don't give agent access to sensitive systems without safeguards
−Don't ignore agent errors—investigate and fix root cause
−Don't scale before proving value on pilot tasks
Performance & Optimization
Key Metrics
Task completion rate: % of tasks agent completes successfully
Time to completion: Agent vs. human baseline
Error rate: % of tasks requiring human intervention
Cost per task: LLM costs vs. human labor savings
Optimization Tips
→Cache common workflows to reduce redundant LLM calls
→Fine-tune decision logic based on failure patterns
→Expand tool library to handle more use cases
→Implement human-in-loop for high-stakes decisions
agent reviews
Ratings
4.7★★★★★57 reviews
★★★★★Kwame Smith· Dec 28, 2024
I recommend Apify for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
★★★★★Kwame Anderson· Dec 28, 2024
Apify reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
★★★★★Chaitanya Patil· Dec 20, 2024
Good discoverability: Apify shows up in the agents directory with enough detail to pre-qualify buyers.
★★★★★Kwame Garcia· Dec 16, 2024
We compared Apify with three neighbors in the same category; this one had the most concrete “what it does” framing.
★★★★★Li Agarwal· Dec 12, 2024
Apify has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
★★★★★Arya Farah· Nov 19, 2024
Apify is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
★★★★★Ishan Abbas· Nov 7, 2024
Good discoverability: Apify shows up in the agents directory with enough detail to pre-qualify buyers.
★★★★★Harper Chen· Nov 7, 2024
Solid agent profile: Apify links out cleanly and the on-site reviews add signal beyond marketing copy.
★★★★★Hassan Nasser· Nov 3, 2024
Apify is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.
★★★★★Meera Shah· Oct 26, 2024
I recommend Apify for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
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6Scale to production use cases
Key Considerations
→Security: What actions can agent take without approval?
→Reliability: What happens when agent fails mid-task?
→Cost: LLM API calls can add up at scale
→Monitoring: How to detect and fix agent mistakes?
