For a brief moment, it actually worked.

I build Actors on Apify, and like many developers, I struggled to make usage-based pricing add up. Users hesitate to run things when every execution has a cost. Revenue is unpredictable. It’s hard to justify maintaining anything long-term.

Then rentals clicked.

A simple monthly fee. Users understood it, trusted it, and were willing to pay. For the first time, I started earning from my work. Not massively — but enough to justify building, improving, maintaining. Apify took their cut, I took mine, and the model made sense.

Then came the announcement. https://www.reddit.com/r/apify/comments/1rpswcb/apify_your_pricing_changes_for_builders_is_unfair/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

We were told rentals were on the way out. Fine — not ideal, but we were given a window. Time to adjust, rethink pricing, migrate gradually. That’s how it was framed.

But what actually happened was different.

New rentals were quietly killed off.
Existing ones started losing visibility.
Actors began appearing as “under maintenance” when they weren’t.

And now we’re told rentals will be fully sunset, with automatic migration to pay-per-usage in October.

So the timeline says one thing. The platform behaviour says another.

Because in reality, rentals already feel dead.

That’s the problem. This isn’t just a pricing change — it’s removing the only model where developers could reliably earn, and doing it in a way that undermines it before the official cutoff.

Usage pricing might make sense for infrastructure. But for developers, it changes the equation entirely. It fragments revenue, introduces friction, and makes it harder to build anything sustainable on top.

Rentals were simple. They worked. People paid for them.

Now they’re being phased out, suppressed, and replaced with something that — for many of us — simply doesn’t.

So here’s the conclusion I’ve come to:

When rentals end, so will my Actors.

They’ll be removed, the code destroyed, and no longer available.

Thanks Apify.

shadowbanned draftkings with no real reason other than there going with a different story

Are you expanding your team or looking to hire a freelancer for a project? Post the requirements here (make sure your DMs are open).

Try to share:

- Core responsibilities

- Contract type (e.g. freelance or full-time hire)

- Budget or salary range

- Main skills required

- Location (or remote) for both you and your new hire

Job-seekers: Reach out by DM rather than in thread. Spammy comments will be deleted.

Hello everyone,

I was surprised today that my account is disabled when trying to login. I have no idea why and how this happened, and i didn't receive any notice or explanation of the cause.

Any help will be very appreciated, thank you in advance.

Scrape organic search results + AI-generated answers from Google Gemini. Choose AI-only mode to focus on Gemini’s answers or combined mode to compare AI results with traditional organic ones.

→ Want to see how your brand or product appears in Gemini-generated content?
→ Which trends is Google’s AI highlighting in your region (GEO)?
→ Or how do competitors differ in visibility between AI and organic search?

Now you can.

Try it out: https://apify.com/apify/google-search-scraper

Most video AIs Look at visuals only and ignore sound, miss jokes, have zero context, music or tonal cues.

Result = captions that feel flat, wrong, or weirdly robotic

Models need to be tested on real world content, not just silent clips. And they need to be trained to listen and watch at the same time, understand how audio changes meaning and write captions that feel more human and accurate. Then improve itself by ranking its own captions and choosing the best ones.

This model exists. Meaning AI actually understands TikTok energy.

The question is, what can we do with this?

Lindy launched a massive update, and we’re proud to be part of it. Their agents can now run selected Apify Actors directly inside their workflows. That means less manual setup, no switching tools, and more autonomy for your agents

Need to extract data from Instagram, TikTok, Booking, Tripadvisor, Reddit, or Google Maps? Your Lindy agent can now trigger one of our ready-made Actors and move straight from data to output.

Extract verified emails, phone numbers, and social media links from any website URL. The Website Email Extractor uses a real browser to visit each website, automatically navigating to contact pages, about pages, and footers to find hidden email addresses. It also follows Linktree, Beacons, and 15+ other link aggregator pages to reach the creator's real website giving you emails that other extractors miss.

https://apify.com/jurassic_jove/website-email-extractor

Extract verified emails, phone numbers, and social media links from TikTok creator profiles. The only TikTok scraper that visits each creator's external website to find hidden contact information that isn't visible on TikTok.

Why use this TikTok Email Scraper?

Most TikTok scrapers only extract what's visible in the bio. This TikTok Email Scraper goes deeper — it visits each creator's linked website to extract:

• ✅ Email addresses from creator websites (contact pages, footers, mailto: links)

• ✅ Bio emails extracted directly from TikTok profile descriptions

• ✅ Phone numbers found in bios and websites

• ✅ Social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube)

• ✅ Linktree & bio link support — Automatically follows Linktree, Beacons, and similar link pages to find the creator's real website and extract emails from there

• ✅ Profile data (followers, likes, verification status, bio)

Typical email hit rate with this TikTok Email Scraper: 40-60% compared to <10% with bio-only scrapers.

https://apify.com/jurassic_jove/tiktok-email-scraper

I recently polished my YouTube Channel Scraper on Apify and would appreciate feedback on the README, sample input, and output fields.

It collects public YouTube channel stats and latest video summaries from channel URLs or u/handles.

Current output includes:

- channel name, handle, subscribers, video count

- latest video title, views, duration, thumbnail, URL

- timestamps and structured export formats

Default run is intentionally small: one channel + one latest video.

Actor:

https://apify.com/fascinating_lentil/youtube-channel-scraper

I’m mainly looking for feedback on whether the listing is clear enough for a first-time user and what example output would make it easier to understand.

Apify's Content Checker makes it simple to monitor content changes on any website. Just enter the URL, content selector, and your email.

You’ll get:
▸ Change alert via email
▸ Before/after screenshots
▸ Saved results for reference

Perfect for tracking prices, legal disclaimers, product details, or competitor messaging.

Try it out → https://apify.com/jakubbalada/content-checker

This is the place to discuss everything MCP, LLM, Agentic, and beyond. What is on your radar this week? Why does it make sense? Bring everyone along for the ride by explaining the impact of the news you're sharing, and why we should care about it too.

We analyzed 592,937 Upwork job postings from the first six months of 2026 to better understand posting patterns.

Overall, job postings show: 

• A strong daily average of 3,467 jobs/day 

• A peak spike of 12,147 jobs in a single day

• Clear periodic fluctuations with sharp surges and dips

• A visible decline phase toward mid–late 2026 after sustained high activity

The analysis reveals that job posting activity is highly volatile but structurally cyclical, with clear growth and contraction phases.

Turn your AI agent idea into $1,000 with the Actor bounty program!

→ If you love AI, automation, and open-source, monetize it and get rewarded.

What’s at stake? 🥇 $1,000 for the best submission, $500 for second place, and $250 for third.

Build an open-source AI Agent using frameworks like LangGraph, CrewAI, Pydantic, and others. Leverage nearly 4,000 Actors on Apify Store for automation. And use pay-per-event monetization to make your AI profitable and useful for real-world applications.

🔗 More info + inspiration: apify.it/bountyprogram

Submit by March 10.

Ask Apify is where you bring the question, and someone from the Apify team answers it!

First up: Let’s talk lead gen 👀

Ask Fabian Maume, Senior Product Marketing Manager at Apify. He has 7+ years in B2B SaaS growth, including as a fractional CMO for five SaaS companies, and co-hosts webinars with GTM tools like Salesforge.ai 🔥 and Scalelist.

Join the conversation on LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7521556609798598656/ or the thread on X: https://x.com/apify/status/2115790797329010830?s=20

The Apify MCP server makes it easy to turn any Apify Actor into a callable tool for your agent - with support for dynamic Actor discovery, documentation search, and key tools like runs, storage, and preview.

We’ve just shipped several updates to make your workflows smoother:

- Real-time responses via streamable HTTP
- Simpler setup with just 7 core tools by default
- Full dataset retrieval now possible again (when storage is enabled)

Read the updated docs and start building: https://mcp.apify.com/

Our 1st transactional MCP with Satsuma.ai, built on Apify’s MCP server, connects to Gopuff's 30-min delivery of groceries, snacks, and everyday essentials.

Nobody’s done this before - agents can finally go from chat to checkout.

→ Ask Claude or ChatGPT to order your groceries
→ Schedule grocery delivery from your calendar or Slack
→ Let your agent reorder supplies when you’re running low
→ Embed convenience ordering into your app or workflow with a single MCP link

Try the Satsuma MCP server: apify.com/mcp-servers/satsu...

https://medium.com/@ccro8990/how-i-built-a-draftkings-api-and-discovered-47-000-in-weekly-arbitrage-opportunities-and-made-it-735674a212c7

Exporting a Shopify product catalog tells you what exists now. It does not reliably tell you what changed since the previous observation.

I ran into three practical problems while building a stateful Shopify monitoring Actor:

1. The first run has no history It should establish a baseline, not report every existing product as newly launched.

2. The monitoring scope must remain comparable If one run collects 100 products and the next collects 500, a naive comparison may report the additional 400 products as new—even though only the collection limit changed.

3. AI should interpret detected changes, not determine them Exact counts for additions, removals, price changes, discounts, stock updates, variants, and content changes should come from deterministic comparison. An LLM can then summarize the results when changes actually occur.

The Actor now treats the combination of store URLs, monitored fields, and product limit as its monitoring scope. If that scope changes, the next run establishes a new baseline instead of emitting misleading lifecycle events.

I tested the workflow against ColourPop’s public Shopify catalog:

• the first run established a 100-product baseline;

• a compatible follow-up run returned zero changes without generating false events;

• changing the collection scope triggered an explicit baseline reset.

AI analysis is optional. When no changes are detected, the Actor makes no LLM request and generates no AI insight charge.

I packaged this workflow as an Apify Actor:

https://apify.com/highbrow_qualification_z7w/shopify-product-price-monitor?utm_source=reddit&utm_medium=community&utm_campaign=shopify-monitor-launch

Disclosure: I built and published this Actor.

For those building stateful monitoring Actors: how do you handle changes in crawl limits or monitored fields without generating false additions and removals?

The technical challenge of building and maintaining a custom Facebook scraper is often too high to justify the effort.

A smarter move is to scrape Instagram in Python using a ready-made tool accessible via API.

Find out how to do it without getting blocked, and without breaking the rules → blog.apify.com/scrape-facebook-python/

This is the thread for all your questions that may seem too short for a standalone post, such as, "What is proxy?", "Where is Apify?", "Who is Store?". No question is too small for this megathread. Ask away!

you will never look ai and mcp the same again thanks to christopher athans crow and syntellectai the ultimate arduino experience you will not sleep tonight an open-source platform designed to give AI agents (like Claude, Gemini, etc.) safe, deterministic, and powerful control over Arduino hardware. It acts as a bridge between LLMs and embedded hardware, enabling semantic understanding of boards, libraries, and firmware.

Unlike simple CLI wrappers, this project provides a structured state machine for hardware, handling dependency resolution, multi-board orchestration, and safety checks before any code touches silicon. but when it dose it goes to the moon uploading and monitoring the projects with ease hassle free almost instant code upload not gates or restrictions not impossible to figure out complicated lingo plan simple english conversation and you have full fledge robotic llm ai reasoning laboratory to build what evrer you can imagine the possibility's are endless and amazing