The Apify agency.Clean data, every run.
Apify is the platform that reads websites for you and pulls the data out clean. A ready-made Store scraper rarely fits your exact target, and one that works once gets blocked at scale. We build custom Actors for your sites, beat blocking with proxy rotation and retries, and deliver clean data to your sheets, database or app, whether you're tracking competitor prices, enriching a prospect list or feeding a database.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
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GeminiAn Apify agency delivers clean data, not just a running scraper.
Anyone can launch a Store Actor. Building one for your real target, keeping it unblocked at scale, and delivering data your team can use is a different job. Here are the four things we own.
- Custom Actors
Custom Actors built for the sites you actually target
Apify Store has thousands of ready-made scrapers, but the one that fits your exact target rarely exists. We build a custom Actor (a small program that opens a page like a browser and pulls out the fields you want) for your sites: the pagination that trips the generic tool, the login wall, the list that only loads as you scroll. Whether you're tracking competitor prices, enriching a prospect list or feeding a database, the Actor reads a simple input and writes clean, structured rows.
See a typical build - Anti-blocking
Anti-blocking and proxy rotation that holds at scale
A scraper that runs fine on your laptop and dies in production is the failure we see most. We set up Apify's proxy rotation (routing requests through many IP addresses, so the target doesn't recognise you and block you), pace the requests, retry the ones that fail, and vary the browser fingerprint. The point is a run that finishes and hands back the full dataset, not one that quietly drops half the rows the moment the site tightens its defenses.
See the method - Data delivery
Clean data delivered to your sheets, database or warehouse
Raw scraped HTML isn't the deliverable. We structure the output, drop duplicates, normalise the fields and check it, then push it where your team already works: Google Sheets, a database, your data warehouse, or straight into your app through Apify's API and webhooks (an automatic message that fires the second fresh data lands). Runs go on a schedule, so the prices or leads refresh on their own. You get usable rows, not a file you still have to clean.
See the delivery - Ops & enablement
Runs scheduled, monitored, and handed over to your team
A scraper is only useful while it keeps working, and targets rewrite their markup without warning. We schedule the runs, wire alerts so you hear about a broken Actor before your dashboard goes stale, and document the setup so your team can maintain it. We're an automation and AI agency first, so the data feeds the workflows and enrichment you already run. Since 2024 we've shipped more than 150 automations doing exactly that.
See AI enablement
We build Apify scrapers like a production pipeline, not a one-off script.
Most scraping projects die the same way: an Actor that works in a demo, no proxy strategy, no monitoring, and it returns nothing the week a target changes its markup. So we treat it like infrastructure: scoped against the real site, hardened with proxy rotation and retries, delivered as clean datasets, and scheduled with alerts so a quiet failure surfaces fast.
- Audit: we map your targets, the data you need, and whether scraping is even the right tool for the job.
- Build: custom Actors on Crawlee, with proxy rotation and retries tuned for each target site.
- Deliver: structured, deduplicated rows pushed to your sheets, database or warehouse through webhooks.
- Operate: scheduled runs, monitoring and alerts, with the whole setup documented and handed to your team.
We run real Apify pipelines in production.
We don't sell a partner tier. We build on Apify for real data pipelines, so we set it up the way it actually holds: custom Actors on Crawlee, proxy rotation tuned per target, retries when a request fails, and monitoring on every run. That's exactly what's missing when a project ends at a scraper that worked in the demo. More than 40 companies worldwide have trusted us with this kind of work since 2024.
- We build on Apify for real production pipelines, so proxies, retries and anti-blocking are set up the way they actually hold, not the way a quick demo suggests.
- Honest by default: if a site's terms forbid scraping, or an official API gives the data cleaner and cheaper, we say so before you pay us to build an Actor.
- You leave with usable datasets and a documented setup, so your team can rerun and maintain the Actors without us. More than 150 automations shipped since 2024 back that up.
- No partner badge to sell. We're judged on whether the data keeps arriving clean after we leave, and on the reviews clients leave us on Trustpilot.
From a web page to your spreadsheet, the circuit we build.
Every project follows the same six links, from the page you want data off to the tool where your team actually works, wired into n8n so a fresh row triggers the rest on its own. Here's the circuit, step by step.
- Link
1 · The target page
We point the Actor at the pages holding your data: competitor product pages, a directory full of prospects, a public listing you need refreshed on a schedule. You tell us which fields matter, we take it from there.
- Link
2 · The Actor that reads it
A custom Actor built on Crawlee (Apify's scraping framework) opens each page like a real browser, clicks through pagination and login walls, and pulls the exact fields you asked for into structured rows.
- Link
3 · Proxy rotation so it holds
Requests route through rotating proxies (many IP addresses), paced and retried, so the target keeps serving pages instead of blocking you halfway through a big run.
- Link
4 · Clean, deduplicated rows
We normalise the output, drop duplicates and validate it, so what leaves the pipeline is usable on arrival, not a pile of raw HTML someone still has to reformat by hand.
- Link
5 · Straight into your spreadsheet
The rows land where you work through the Apify API and webhooks: Google Sheets, a database or your warehouse. A webhook fires the moment a run finishes, so nothing waits on a manual export.
- Link
6 · Wired into n8n for the rest
We connect the feed to n8n (an automation tool that links your apps), so a fresh row can enrich a lead, update your CRM or ping your team on its own. That's the circuit, from a web page to your spreadsheet and into the work.
We scope your scraping target, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your targets, the data you need, and how it has to land in your stack. You leave with an honest read on whether scraping is the right tool, what we'd build, and where anti-blocking will be the hard part. Zero pitch, just an engineer's take on your data problem.
- An honest read on whether Apify scraping fits your target
- The custom Actors worth building first
- The proxy and anti-blocking strategy per target
- A ballpark cost (from $2,000) and a timeline, a week to six months
- A frank take on when an official API beats scraping
How we run an Apify scraping project.
Five steps, in order. We don't build before we've confirmed scraping is the right tool, we don't ship a pipeline without anti-blocking and monitoring, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Scraping audit
We map your targets and check scraping is the right tool
We look at the sites you want data from, the volume and freshness you need, and how it has to land in your stack. Half the value is honesty early: if a target's terms forbid scraping, or an official API gives the same data cleaner and cheaper, we say so before you pay for an Actor. You leave knowing what we'd build, a realistic timeline from a week to six months, and pricing that starts from $2,000.
- Step 2 · Build the Actors
Custom Actors on Crawlee for your exact targets
We build Actors on Crawlee (Apify's scraping framework) that open each page like a browser and handle pagination, login walls, lazy-loaded lists and content that only appears after a click. Each one takes a simple input and writes structured rows. We test against the real site, not a copy, so the Actor survives the edge cases that break a generic Store scraper.
- Step 3 · Beat anti-blocking
Proxy rotation and retries that hold at scale
A scraper that works once and gets blocked at volume is useless. We set up Apify's proxy rotation (requests spread across many IP addresses), pace and retry them, and vary the browser fingerprint. The goal is a run that finishes and returns the full dataset, even when the target tightens its bot defenses in the middle of a crawl.
- Step 4 · Deliver clean data
Structured rows pushed where your team works
Raw HTML isn't the deliverable. We structure, deduplicate and validate the output, then push it to your sheets, a database or your warehouse through Apify's API and webhooks. A webhook tells your stack the second fresh data lands. You get clean, usable rows on arrival, not an export you spend a day tidying up.
- Step 5 · Operate & hand over
Schedule, monitor, then get out of the way
Targets change their markup, so a scraper needs operating, not just building. We schedule the runs, wire monitoring and alerts so a broken Actor surfaces fast, and document everything so your team owns it. Want to run the next one yourself? Our Apify training covers Actors, Crawlee, proxies and the API end to end. Want us on call as it scales? We sort that out separately.
We're judged on the data that keeps flowing.
No partner badge to display, so we lead with what matters: feedback from the teams whose Apify pipelines we built, and whether the data kept arriving clean after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The Actors and setup are documented and owned by your team
- Anti-blocking and monitoring wired before anything runs at scale
- Datasets validated, deduplicated and delivered clean
- Trustpilot reviews come from the teams we built pipelines for
The questions we get asked on repeat.
What does an Apify agency actually do?
An Apify agency builds the custom web scraping and automation that the ready-made Actors in Apify Store don't cover, then keeps it running. (Apify is the platform that reads websites for you and pulls the data out clean.) We build custom Actors for your exact targets, set up proxy rotation so runs hold at scale, structure the output into clean rows, and push it to your sheets, database or app through webhooks. The point is a data feed that keeps returning usable rows, not a script that works once and breaks the next time the site changes.How much does an Apify scraping project cost?
Pricing starts from $2,000, and where it lands depends on scope: a single Actor against one site is nothing like a multi-target pipeline with anti-blocking, scheduling and warehouse delivery. We skip the flat package. We start with a free 60-minute audit to scope your targets and confirm scraping is even the right tool, then quote a fixed price for the work. Projects usually run from a week to six months. The Apify platform usage itself (the compute and proxy credits) you pay Apify directly, and we tune the runs so that bill stays predictable instead of burning credits on retries.How long does it take to get an Apify scraper running?
For a single well-behaved target, a first working Actor can be up in one to two weeks. A bigger job, several targets, heavy anti-blocking, scheduling and warehouse delivery, runs closer to a month or more, and complex pipelines can stretch toward six months. The audit is where we pin the timeline, because a public site with clean HTML is fast, while a login wall behind aggressive bot defenses takes real engineering. You'll get a realistic estimate before anything is billed, not an optimistic guess.Can Apify track competitor prices or enrich a prospect list?
Yes, those are two of the most common jobs we build. For price tracking, an Actor visits your competitors' product pages on a schedule, pulls price and stock, and drops the rows into a sheet or database so you see moves as they happen. For prospect enrichment, it works through a directory or list, collects the public fields you need, deduplicates them, and feeds them straight into your CRM through n8n. Same circuit either way: a web page in, clean rows out, wired into the tool where your team already works.Is web scraping with Apify legal and safe?
It depends on the target and the data, and being straight about it is part of the job. Public data is generally fair game, but a site's terms of service can forbid scraping, and personal data brings its own legal duties. We check the target's terms and the data type before building, keep request rates respectful, and never collect personal data without a proper legal basis. If a site clearly forbids scraping, or an official API gives the same data cleanly, we tell you up front. We'd rather lose a build than hand you a pipeline that becomes a liability.What is an Apify Actor and do we need a custom one?
An Actor is a small program on Apify that takes a simple input, runs a task (usually scraping or automation), and returns structured rows. Apify Store has thousands of ready-made Actors, and when one fits your target we'll just use it. You need a custom one when your target has quirks the generic scraper can't handle: a login wall, awkward pagination, data that only loads as you scroll, or output that has to match a specific format. We build those on Crawlee (Apify's scraping framework) so they're reusable and maintainable, not one-off scripts.Can you handle anti-blocking and proxies for large scrapes?
Yes, that's where most scraping projects actually fail. We use Apify's proxy rotation (spreading requests across many IP addresses so the target can't recognise and block you), rotate sessions, vary browser fingerprints, and retry failed requests with backoff so a run survives rate limits and bot defenses. The aim is a crawl that finishes and returns the complete dataset, not one that silently drops half the rows when the target tightens its protection mid-run. We also monitor for empty results, so a quiet failure doesn't go unnoticed.How do we get the scraped data into our own systems?
Through Apify's API, webhooks and integrations. We structure and validate the rows, then push them to your API, Google Sheets, a database or your data warehouse, and fire a webhook (an automatic message) so your stack knows the moment fresh data lands. Runs go on a schedule, and we can wire the feed into n8n so a new row triggers the rest of your workflow on its own. The deliverable is clean rows in the system your team already uses, not a CSV someone has to download and reformat by hand.When is Apify not the right fit?
We'll tell you honestly: if the target site's terms of service forbid scraping, or if it already exposes an official API that gives you the same data cleaner, cheaper and without the blocking arms race, then building an Apify Actor is the wrong move. Scraping shines when there's no API, the data is public, and you need it at scale on a schedule. When an official API exists, we'll usually point you to it instead. The free audit exists partly to catch this before you spend on a build you don't need.Do you maintain the scrapers or just build them?
Both, and maintenance matters more than people expect, because targets change their markup without warning and a scraper that worked last month can silently return nothing. We schedule runs, wire monitoring and alerts on failures and empty datasets, and document the Actors so your team can fix and rerun them. If you'd rather own it fully, we run an Apify training covering Actors, Crawlee, proxies and the API, so your team can build and maintain the next Actor without us.
Stop fighting blocked scrapers. Build it right.
A 60-minute audit, your scraping target scoped, a pipeline plan with anti-blocking baked in. If your team can run the Actors in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.