Free Apify Alternative: No-Code Scraping in Your Own Browser

If you have ever priced out a serious scraping project on Apify, you have probably felt the same two emotions in quick succession. First, admiration: the platform is genuinely powerful, with a huge library of prebuilt actors and real infrastructure behind it. Then, a slow dawning concern as you realize the meter is running on compute units, the free credits expire every month, and many of the actors you want add their own per-result fees on top.

For a lot of people, especially solo operators, freelancers, agencies, and anyone who just wants a clean list of public data without a cloud bill, that second emotion wins. This guide is for those people. It is an honest, side-by-side comparison of Apify and a free, no-code alternative that runs entirely in your own browser, with no cloud account, no credits, and no per-result charges.

We are not going to pretend Apify is bad. It is not. For large-scale, scheduled, server-side data pipelines, it is one of the best tools available. The point of this article is to help you figure out whether you actually need that machinery, or whether you are paying cloud-scale prices for a job your own browser can do for free.

What Apify actually is#

Apify is a cloud web scraping and automation platform. The core idea is that you run small programs called “actors” on Apify’s servers. Some actors are official, many are community-built, and they cover everything from generic website crawlers to purpose-built scrapers for specific sites. You configure an actor, press run, and Apify’s infrastructure does the work in the cloud, then hands you the results as JSON, CSV, Excel, or via API.

That cloud-first design is Apify’s biggest strength and, depending on your needs, its biggest cost driver. Because the work runs on Apify’s machines, you get scheduling, parallelism, proxy rotation, storage, and an API out of the box. You also get a billing model built around how much of those machines you consume.

The compute unit model, briefly#

Apify meters usage in compute units. A compute unit is roughly one gigabyte of memory running for one hour. Your bill is a function of how much memory your runs use multiplied by how long they run. On top of that, many Store actors charge a separate pay-per-result or pay-per-event fee, so the platform compute is not always the whole story.

This is a sensible model for a cloud platform. It is also the thing that surprises people, because the cost of a job is not a fixed sticker price. It depends on the actor, the memory it needs, how long the target site takes to respond, and how many results you pull.

Apify pricing in 2026, honestly#

Let me lay out the real numbers rather than hand-waving, because the pricing is the whole reason most people go looking for an alternative.

Apify’s published plans in 2026 look like this:

Plan	Monthly price	Platform credits	Notes
Free	$0	$5 in monthly credits	No card required, credits expire monthly, $0.20 per compute unit
Starter	$29	Included usage at $0.20 per CU	Entry tier for steady small jobs
Scale	$199	Lower per-CU rate (around $0.16)	For higher volume
Business	$999	Lowest per-CU rate (around $0.13)	For heavy, ongoing pipelines

A few honest observations about this table.

The Free plan is real and useful for testing. Five dollars of credit per month at twenty cents per compute unit gives you a meaningful amount of experimentation. No credit card is required to start. That is genuinely generous for kicking the tires.

But the Free credits do not roll over. Unused credit expires at the end of each billing cycle. So the free tier is best understood as a recurring trial allowance, not a sustainable way to run monthly workloads.

And the headline plan prices are not the full cost. Because many actors layer pay-per-result charges on top of compute, your actual spend can exceed the plan price. This is not a hidden trick on Apify’s part; it is disclosed. But it does mean budgeting is harder than reading a single number.

If you want to confirm these figures yourself, Apify publishes them on its official pricing page, and several independent reviews break down the compute unit math in detail.

The alternative: free, no-code, in your own browser#

Now the other side. Free Social Media Scraper takes a completely different approach. Instead of running jobs on a cloud platform and billing you for compute, it is a browser extension that automates tasks directly in the browser you already use.

The model is closer to a macro recorder for the web than to a cloud platform. You perform a task once, by hand, on a page you are authorized to use. The extension watches what you do and saves those steps as a reusable preset. Next time, you press run and it replays the steps in your own browser tab, visibly, at a gentle human-like pace, while you watch.

Three things follow from that design, and they are the reasons it can be free.

It runs locally. The work happens in your browser on your machine, using your existing logged-in session where applicable. There is no server farm to pay for, so there is no compute meter.

It is no-code and point-and-click. You do not configure an actor or write a crawler. You click through the task once and the tool remembers it. If you can do the task by hand, you can automate it.

It has no credits and no cloud bill. There is nothing to top up. The cost model is simply: the tool is free.

That is the core trade. Apify gives you cloud scale and pays for it with a compute meter. Free Social Media Scraper gives you your own browser and pays for it with your own machine’s time and attention.

Head-to-head feature comparison#

Here is a fair, side-by-side look. I have tried to be honest about where Apify genuinely wins.

Capability	Apify	Free Social Media Scraper
Where it runs	Apify cloud servers	Your own local browser
Pricing model	Compute units plus possible per-result fees	Free
Free tier	$5 monthly credit, expires monthly	Free to use
Coding required	Often none (prebuilt actors), but advanced use is code-heavy	None, point-and-click
Scheduling and unattended runs	Yes, native	No, runs are visible and supervised by design
Massive parallel scale	Yes, this is its core strength	No, single browser, human pace
Proxy rotation and anti-blocking	Yes, built in	No, by design it does not hide or rotate
Prebuilt scrapers for specific sites	Large actor store	You build presets yourself
API access	Yes	No
Visibility and control during runs	Runs in the cloud, you watch logs	Runs in front of you, stop anytime
Best for	Large, scheduled, server-side pipelines	Repetitive personal or client tasks, public data collection

If you read that table and your eyes lit up at “scheduling,” “massive parallel scale,” and “API,” then Apify is probably the right tool for you and you should stop reading. Those are real capabilities a single browser cannot match, and there is no shame in needing them.

If instead you found yourself thinking “I do not need any of that, I just want my list,” keep going.

Honest pros and cons#

Apify pros#

Apify is mature and powerful. The actor store means you can often find a prebuilt scraper for exactly the task you have, which saves real time. The cloud infrastructure handles scheduling, scaling, storage, and proxies so you do not have to think about them. The API makes it easy to wire scraping into a larger system. For engineering teams building production data pipelines, that is a strong package.

Apify cons#

The pricing is consumption-based and therefore unpredictable. Compute units plus per-result actor fees make it hard to know your bill in advance. The free tier resets monthly and does not accumulate, so it is a trial allowance rather than a free product. And there is a learning curve: getting the most out of the platform, especially custom actors, rewards technical skill.

Free Social Media Scraper pros#

It is free, with no credits to track and no cloud bill to fear. It is genuinely no-code; if you can click, you can build a preset. It runs visibly in your own browser, so you can see exactly what it is doing and stop it instantly. And because it uses your own session and a gentle pace, it stays in the territory of “the fast version of work I would do by hand anyway.”

Free Social Media Scraper cons#

It is not built for massive, unattended, server-side scale. It does not schedule jobs to run while you sleep, and it does not rotate proxies or parallelize across hundreds of machines, because those are explicitly not its goals. If your project genuinely needs to pull millions of records on a cron schedule with no human present, a single supervised browser is the wrong tool, and Apify or a similar platform is the right one.

I would rather tell you that plainly than oversell. The honest framing is that these tools sit at different points on a spectrum, not that one is a strict upgrade over the other.

When Apify is the right call#

Choose Apify when your needs look like infrastructure rather than chores. Specifically:

You need scheduled, unattended runs that fire without anyone present. You need to pull very large volumes regularly. You want an API so scraping feeds a bigger system automatically. You have engineering resources to build or customize actors. Or you specifically need the proxy rotation and scaling that a cloud platform provides.

In those situations, paying for compute is buying something real, and the per-unit cost is reasonable for what you get.

When the free browser approach wins#

Choose the free, in-browser approach when the job is fundamentally a repetitive task you could do by hand, just slower. Specifically:

You want a clean list of public data and you do not want a cloud account or a bill. You are an agency or freelancer doing the same browser steps across many clients and you want to capture them once and replay them. You value seeing the automation run and being able to stop it instantly. You are collecting from pages you are authorized to use, at a sane volume, where a human pace is perfectly fine.

For that whole category of work, paying cloud-platform prices is paying for machinery you will not use.

A practical workflow that costs nothing#

Here is how the free approach fits into a realistic lead pipeline, end to end, without a single cloud invoice.

Start with public sources. If you are after local businesses, the Google Leads Scraper pulls names, phone numbers, websites, and ratings from public map listings into a clean CSV, so you are gathering published listing data rather than hammering a logged-in account.

Capture the repetitive enrichment as a preset. Open a result, extract the fields you care about, flag the good ones, and let Free Social Media Scraper replay those steps for you visibly on pages you are authorized to use.

Clean the list before you act on it. Run email addresses through a business email verifier so you are not sending to dead inboxes, and check phone numbers with a phone number verifier to sort mobile from landline from dead. Clean data protects your sender reputation and your time.

Hand outreach to a system built for it. Once the list is sourced, enriched, and verified, plug it into Inflowave, the all-in-one platform for lead generation, outreach automation, and client growth, so multi-touch follow-up is handled by software designed for it rather than by a pile of fragile scripts.

Every step there is either free or a dedicated tool, and none of it requires a cloud scraping platform.

The hidden costs people forget to budget for#

When teams compare scraping tools, they usually compare the headline plan prices and stop there. That is a mistake, because the headline price is rarely the total cost of ownership. Here are the line items that tend to surprise people on a cloud platform, and how the in-browser model treats each.

Per-result and per-event fees. On Apify, the platform compute is only part of the story for many Store actors, which charge separately for each result or event they produce. A scrape that looks cheap in compute can become expensive once those fees stack up on a large pull. The in-browser model has no per-result fee at all, because there is no platform taking a cut of each row.

Proxy and bandwidth. Cloud scrapers against protected sites lean on proxies, and proxy bandwidth is metered money on top of compute. The in-browser tool uses your own connection and your own session, so there is no proxy bill, though the flip side is that it does not try to defeat blocking by rotating identities.

Engineering time. This is the cost nobody puts on the invoice. Configuring, debugging, and maintaining custom actors takes skilled time, and skilled time is the most expensive resource a small team has. A point-and-click preset that anyone on the team can record and replay removes that line item almost entirely.

Storage and retention. Cloud platforms store your datasets and runs, and at volume that storage has a cost and a lifecycle to manage. With an in-browser tool, the data lands wherever you export it, a CSV on your own machine, and there is nothing extra to store or pay for.

Add those up and the gap between “the plan costs $29” and “this workflow costs us X per month” can be large. For workloads that do not need cloud scale, most of those line items are pure overhead.

Who each tool is really for#

A useful way to cut through the comparison is to ignore features for a moment and think about who you are.

If you are a data engineering team building production pipelines that feed dashboards or downstream systems, you are an Apify customer. You need the API, the scheduling, the scale, and the reliability of managed infrastructure, and the compute bill is a reasonable cost of doing business.

If you are a growth or research team that occasionally needs a large, specific, scheduled pull and has the technical skill to configure actors, Apify is also a strong fit, and the free tier plus a Starter plan may cover you.

If you are a freelancer, a solo operator, a small agency, or anyone whose scraping is really a series of repetitive browser chores, the in-browser, free model is almost certainly the better fit. You do not need an API or a scheduler; you need the same handful of tasks done faster, supervised, and for free.

Most people who go looking for an “Apify alternative” turn out to be in that third group. They reached for a cloud platform because it is the famous answer to “how do I scrape,” not because their actual job demanded cloud machinery. Recognizing which group you are in answers the whole question.

Understanding the real cost of “free” credits#

It is worth slowing down on Apify’s free tier, because the word “free” does a lot of work in marketing and not always the work you expect.

Apify’s $5 monthly credit is real money you can spend on real compute, and for evaluation it is great. But think about what $5 buys at $0.20 per compute unit: roughly 25 compute units, where one unit is a gigabyte of memory running for an hour. A modest actor configured at 4 gigabytes of memory burns through a compute unit every fifteen minutes. Run a few of those and your monthly allowance is gone before the month is. Then, because credits do not roll over, anything you did not use simply evaporates at the billing boundary and resets.

The deeper issue is predictability. With a metered model, your cost is a function of variables you do not fully control: how much memory an actor requests, how slow the target site is on a given day, how many results you end up pulling, and whether the actor adds a per-result fee. Two runs of the same job can cost different amounts. For a business trying to forecast expenses, “it depends on the site’s response time” is an uncomfortable line item.

A free, local tool sidesteps the entire question. There is no unit to count, no allowance to exhaust, and no billing boundary to reset against. The resource you spend is your own machine’s time and a few minutes of your attention to supervise a run. For the kind of work most people are actually doing, that is a far more comfortable trade than a meter that resets every month.

How to move a simple Apify job into your browser#

If you have been using Apify for a task that does not really need cloud scale, migrating it to an in-browser preset is usually straightforward. Here is the mental translation.

First, identify what the actor was actually doing in human terms. Most generic scraping actors do some version of: go to a page, read a list, click into each item, copy a few fields, go to the next page, repeat. Strip away the cloud machinery and that is just a sequence of clicks and copies a person could do by hand.

Second, do that sequence once, by hand, with the extension recording. Open the listing, click the first result, select the fields you want, note how you move to the next page. The tool captures these as steps. You are not configuring an actor; you are demonstrating the task.

Third, save it as a preset and name it for the job. Now the workflow you used to pay compute units for is a free, replayable preset that runs in front of you.

The honest limit of this migration: it works cleanly when the job is supervisable and reasonably sized. If your actor was pulling half a million records overnight on a schedule with rotating proxies, that does not translate to a single browser, and you should keep it on Apify. The migration is for the long tail of small and medium jobs that ended up on a cloud platform mostly because that is the tool people reach for, not because they needed the scale.

What you give up, stated plainly#

I want to be fair to Apify, so here is an explicit list of what the in-browser approach does not give you, with no spin.

You lose unattended scheduling. A browser preset runs when you run it, supervised. If you need data pulled at 3 a.m. with nobody present, that is a cloud job.

You lose horizontal scale. Apify can run many actors in parallel across its infrastructure. A single browser does one thing at a time at a human pace.

You lose managed proxies and anti-blocking. Apify rotates IPs and handles a lot of blocking automatically. The in-browser tool deliberately does not, because rotating to evade detection is exactly the hide-and-hammer behavior a compliant tool avoids.

You lose the prebuilt actor store. If someone has already built and maintained a scraper for your exact target, Apify lets you use it. In the browser, you capture your own preset.

You lose the API. Apify exposes results and runs over an API so they can feed a larger automated system. A supervised browser tool is not an API endpoint.

If any of those losses is a dealbreaker for your specific project, that is your answer: stay on Apify. If you read the whole list and shrugged, that is also your answer.

Frequently asked questions#

Is there a genuinely free alternative to Apify?#

Yes, for a large class of tasks. If your job is collecting public data through steps a person could perform by hand, a free, no-code browser extension like Free Social Media Scraper does it without any cloud account, credits, or per-result fees. The caveat is scale: it is supervised and runs at a human pace, so it does not replace Apify for very large, scheduled, unattended pipelines.

What does Apify actually cost in practice?#

Apify uses a metered model. The free tier gives $5 in monthly credits at $0.20 per compute unit, where a compute unit is one gigabyte of memory running for one hour. Paid plans run from $29 (Starter) to $199 (Scale) to $999 (Business), with lower per-unit rates on higher tiers. Many Store actors add per-result fees on top, so the real cost depends on the actor and the job, not just the plan price.

Do Apify free credits roll over?#

No. Unused monthly credits expire at the end of each billing cycle and reset. The free tier is best understood as a recurring trial allowance rather than a way to run sustained monthly workloads for free.

Is a browser scraper safe to use?#

It depends entirely on how you use it, not on the tool itself. The in-browser model is designed to keep you on the right side of the line, by running visibly, at a gentle pace, in your own session, on pages you are authorized to use. That makes compliant behavior the default, but you are still responsible for respecting each site’s terms, rate limits, and the law.

When should I still choose Apify over a free browser tool?#

Choose Apify when you genuinely need cloud scale, scheduled unattended runs, parallel execution, managed proxies, an API, or a prebuilt actor for a specific site. Those are real capabilities that a single supervised browser cannot match, and for production data engineering they are worth the compute bill.

Can I combine both tools?#

Yes, and many people do. Use Apify for the heavy, scheduled, large-scale pulls, and use a free in-browser tool for the everyday, supervisable, repetitive tasks that do not justify cloud cost. They sit at different points on the spectrum and there is no rule that you must pick only one.

Related comparisons and guides#

If you are weighing other tools in this space, these companion articles take the same honest approach. See our look at a free PhantomBuster alternative for social lead lists, our Octoparse alternative comparison for a lightweight point-and-click scraper, and our breakdown of Bardeen and Instant Data Scraper alternatives for free browser automation.

A note on compliant scraping#

Whichever tool you pick, the rules of the road are the same. Only collect data you are authorized to collect, respect each site’s terms of service and rate limits, focus on public information, and do not build automation whose purpose is to hide itself. The in-browser approach makes compliant behavior the path of least resistance, because it runs visibly, at a human pace, in your own session, but the responsibility for using any tool lawfully is always yours.

The bottom line#

Apify is an excellent cloud scraping platform, and if you need scheduled, large-scale, API-driven data pipelines, it earns its compute-unit bill. But a large share of the people who reach for it do not actually need cloud scale. They need a clean list of public data, gathered without writing code and without paying for machinery they will not use.

If that is you, the honest answer is that a free, no-code tool running in your own browser will do the job. Free Social Media Scraper lets you mark a repetitive task once, save it as a preset, and replay it visibly in your own browser, with no credits and no cloud bill. Join the waitlist and we will email you the moment it is live.