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Apify Store Directory: Enterprise Extraction Pipelines (2026)

· 4 min read
Yassine El Haddad
Yassine El Haddad
Software Developer & Automation Specialist

I build production AI agents, web scrapers, and automation pipelines. Most of what I publish here comes from the actual problems they run into: proxies that get banned, anti-bot stacks that fingerprint your client, RAG that drifts when the underlying data moves. Stack: Python, TypeScript, Go, FastAPI, LangChain, Crawlee, Playwright, deployed on AWS, GCP, and Cloudflare.

Maintaining a separate scraper stack for every site—one-off Puppeteer for real estate, another pipeline for maps, another for social—does not scale. You end up babysitting browsers, proxies, and parsers instead of shipping.

The Apify Store is a catalog of 19,000+ ready-made Actors: packaged scrapers and automations (often built on Crawlee, Playwright, or similar) that someone else keeps patched as sites change. You pick an Actor, pass inputs, and run it in the cloud instead of owning the whole stack.

Below is a use-case map with links to our deeper category and collection pages.

Architectures by Use Case & Protocol​

Pick a lane that matches what you are trying to pull or automate:

AI & LLM Infrastructure​

MCP integrations, turning pages into clean Markdown for RAG, and browser automation you can drive from agents or workflows.

Local Business & Geospatial Topologies​

Places and local listings: grids, search tiles, and similar patterns to work around “load more” limits and pull complete coverage for a region.

Social Graph & Telemetry Extraction​

Public-facing social data without wiring everything to official APIs yourself. Many Actors lean on page structure and embedded JSON (for example Next.js __NEXT_DATA__) so you are not reinventing the parser on every deploy—still expect rate limits, blocks, and policy risk like any scraper.

B2B Outreach & Lead Ingestion​

Company and people discovery from directories and networks—often with proxy rotation and structured output for CRMs and enrichment tools.

E-Commerce & Retail Arbitrage​

Price and catalog monitoring across retailers: good when you need recurring checks rather than one manual export.

Content & Platform Infrastructure​

Specialized Ecosystems​

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The Serverless Compute Advantage​

Running Actors on Apify means the heavy work happens in ephemeral containers on their infrastructure, not on your laptop. You still pay for compute (and proxies where you use them), but you are not stuck sizing a fleet of VMs for every scrape.

What you get in practice: scaling out parallel runs, no local Chrome farm, and a clean split between “what to scrape” (inputs, schedules, webhooks) and “how this Actor works” (maintained by the publisher).

Apify also offers $5 in free monthly compute so you can try real runs before you commit.


Provision your Apify Environment →

Frequently Asked Questions

Usually no. For Store Actors, the maintainer ships the runtime image, dependencies, and crawl logic. You configure the run (inputs, proxies, memory) and start it from the console or API—no Dockerfile required on your side unless you are building a custom Actor.

Yes. Results land in Apify Datasets. You can download them as JSON, CSV, or JSONL from the API, stream them in your code, or fire a webhook when a run finishes so n8n, Make, or your own service ingests the payload.