ApifyWeb scraping and automation platform for extracting live data to power AI models and agents.

4.8 (5)

Reviewed by Daniel Nikulshyn·Updated May 2026

Web Scraping Automation Cloud Platform Developer Tools API LLM Integration RAG AI Agents

Overview

Apify is a cloud platform for collecting and processing web data at scale. Developers can choose from thousands of pre-built scrapers (called Actors) in its marketplace or build custom ones in Python or JavaScript, then run them on managed infrastructure with proxies, scheduling, and storage included. The platform is widely used to feed AI workflows, from gathering training datasets and powering retrieval-augmented generation to enabling autonomous agents that browse the live web. Outputs can be exported as JSON, CSV, or Excel, or pushed directly into databases, vector stores, and LLM pipelines through APIs and integrations with tools like LangChain, LlamaIndex, and n8n. Apify offers a free tier with monthly platform credits, plus paid plans that scale with usage, making it accessible for both individual developers and enterprise teams handling large extraction jobs.

Key features

Marketplace of pre-built scraping Actors
Managed proxy rotation and anti-blocking
Cloud runtime with scheduling and monitoring
Dataset, key-value, and request queue storage
REST API and SDKs for Python and Node.js
Integrations with LangChain, LlamaIndex, and Zapier

Pricing

Model: Freemium
Category: Research Assistants
Rating: 4.8 / 5 (5)

Use cases

Power RAG pipelines with live web data

Scrape and structure web content, then push it into vector stores via LangChain or LlamaIndex integrations to give LLMs up-to-date, retrieval-augmented context.

Build training datasets at scale

Use marketplace Actors or custom Python/JavaScript scrapers with managed proxies to collect large, structured datasets exportable as JSON, CSV, or Excel for AI model training.

Enable autonomous web-browsing agents

Provide AI agents with live web access through Apify's REST API and SDKs, letting them fetch real-time information from sites during automated workflows.

Automate recurring data collection

Schedule Actors on Apify's cloud runtime to monitor competitor prices, news, or listings, then route results into databases or tools like Zapier and n8n.

Pros & Cons

Pros

Large marketplace of ready-made scrapers
Handles proxies, scaling, and scheduling automatically
Integrates with major LLM and automation frameworks
Supports custom Actors in Python and JavaScript

Cons

Pricing can grow quickly with heavy usage
Learning curve for building custom Actors
Some sites still block scraping despite proxy support

Reviews

4.8

Average from 5 ratings.

Naomi Suzuki

May 17, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is marketplace of pre-built scraping Actors — handled better than most — and supports custom Actors in Python and JavaScript. Learning curve for building custom Actors is my one real gripe. Worth the time if this is your use case.

Hannah Goldberg

Apr 3, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: marketplace of pre-built scraping Actors and large marketplace of ready-made scrapers. On balance the feature set — especially integrations with LangChain, LlamaIndex, and Zapier — justifies the 5 stars for our use case.

Omar Haddad

Feb 19, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on managed proxy rotation and anti-blocking, and handles proxies, scaling, and scheduling automatically caught me off guard. still, I'd recommend giving it a real trial.

Olga Ivanova

Oct 30, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: rEST API and SDKs for Python and Node.js and large marketplace of ready-made scrapers. On balance the feature set — especially dataset, key-value, and request queue storage — justifies the 5 stars for our use case.

Grace Okafor

Sep 17, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is cloud runtime with scheduling and monitoring — handled better than most — and integrates with major LLM and automation frameworks. Learning curve for building custom Actors is my one real gripe. Worth the time if this is your use case.