Apify?

KINDAYou can build the valuable core, but the established product has meaningful operational complexity. Pick one narrow promise for v1.

BUILD FIRST

One specific customer type and one primary use case
A vertical slice that completes the main job without manual workarounds
Visible limits, review steps, and a fallback when an external dependency fails

LEAVE FOR LATER

Broad third-party integrations
High-scale collaboration, syncing, and permissions
Automation that can cause harm without human review

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

Apify is a cloud platform for web scraping, data extraction, and automation. Its core unit is the 'Actor' — a serverless cloud program that takes a JSON input, runs in the cloud for as long as needed, and stores results in a dataset or key-value store. The Apify Store is a marketplace of 30,000+ ready-made Actors for scraping social media, e-commerce, search engines, maps, and travel sites, turning websites into structured data for lead generation, competitor research, and monitoring. Users can customize universal scrapers with JavaScript, use code templates, or build from scratch with the JavaScript/Python SDKs or Crawlee (Node.js and Python), a scraping library usable independently of the platform. Platform features include managed proxies and anti-blocking (Apify Proxy for IP rotation), cloud execution, datasets and key-value storage with schemas, request queues, scheduling, webhooks,

SOURCES

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build a self-hosted web scraping and automation platform inspired by Apify's Actor workflow. Core concept: an 'Actor' is a serverless-style job that accepts a JSON input, runs in the cloud (or locally) for a bounded duration, and writes results to a dataset (structured rows) or key-value store. Implement: (1) an Actor runtime that executes user-defined scraping scripts (Node.js and Python) with a sandboxed execution environment, concurrency limits, and a timeout; (2) a job scheduler with cron-like scheduling and webhook notifications on completion; (3) storage backends for datasets (with optional JSON schema validation) and key-value stores, plus a request queue for URL crawling; (4) a simple marketplace/catalog where users can publish and install prebuilt Actors; (5) proxy rotation and basic anti-blocking (rotating IPs, retries, custom headers) for scraping reliability; (6) a REST API and a minimal web console to create, run, monitor, and export Actor results; (7) an optional Model Context Protocol (MCP) server exposing Actor discovery, execution, and result retrieval to AI agents. Use Node.js or Python with a queue (e.g., Redis/BullMQ or Celery), a relational DB for metadata, and object storage for datasets. Do NOT copy Apify's brand, logo, proprietary assets, UI, or any of its actual Actor code. Out of scope: production-scale distributed crawling, advanced CAPTCHA solving, billing/pay-as-you-go metering, and enterprise compliance tooling. Deliver a README covering setup, the Actor execution model, storage schema, scheduling/webhook config, and important limitations (sandbox isolation, anti-blocking effectiveness, single-node scaling).

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