Crawlee with Playwright | Scrape JavaScript-Heavy Dynamic Sites | WebFootprint
Data Integrations Crawlee → Playwright SPA Scraping

Crawlee with Playwright: Scraping JavaScript-Heavy Dynamic Sites

Your team keeps failing to scrape modern SPAs with HTTP scrapers. Competitor prices, stock, and catalogue data never appear because the page only renders after JavaScript runs, and every missed feed costs decisions and engineer babysitting hours.

We build Crawlee Playwright scrapers that recover the dynamic site data your current scrapers miss.

A glass CRM panel and the Apify logo linked by a cyan ribbon of SPA product cards, illustrating Crawlee Playwright scraping of JavaScript-heavy dynamic sites
70%+
of modern pages need JavaScript to show meaningful content (2026)
53.5%
of reachable top-1M sites sit behind a managed anti-bot or WAF wall
40%
of a data team's time spent just keeping scrapers alive (Zyte 2025)
15–25 hrs
per week of engineer babysitting on fragile scrapers (typical 2–3 person team)
The Problem

Sound Familiar?

These are the exact issues our clients faced before switching to Crawlee Playwright for SPA scraping:

  • HTTP scrapers return empty shells from React, Vue, and Angular competitor sites
  • Pricing and catalogue feeds sit at 60–70% coverage because SPA pages never hydrate for the bot
  • Engineers burn evenings on fixed sleeps and brittle selectors that still miss late-loading content
  • Cloudflare and JS challenges block simple requests while your team stares at blank datasets
  • Competitive intel arrives late or incomplete, so pricing and sales decisions run on guesswork

Over half the reachable web now sits behind managed bot walls, and Cloudflare alone accounts for about 84% of those protected sites. Sites keep migrating to SPA frameworks while HTTP scrapers stay stuck on empty shells. Waiting longer will not fix JavaScript-rendered page extraction.

How It Works

What Crawlee Playwright Scraping Actually Does

Open the SPA → wait for hydration → extract live data → deliver complete feeds. No empty shells.

1

Target Queued

Competitor SPA or JS-heavy catalogue URL enters the Crawlee request queue

2

Browser Renders

Playwright opens a real browser, runs the page JavaScript, and waits for selectors

3

Data Extracted

Live DOM or intercepted JSON yields prices, stock, and product fields your HTTP scrapers never saw

4

Feed Delivered

Clean rows land in CRM, warehouse, or BI with fill-rate checks and alerts

What We Build

Everything You Need for Reliable SPA Scraping

Crawlee Playwright Crawlers

Real browser automation through Crawlee and Playwright so JavaScript-heavy SPAs render fully before extraction, not after a blind HTTP fetch.

Wait-for-Selector Discipline

Scrapers wait for the live DOM elements that matter, not arbitrary timeouts. SPA hydration finishes before product cards, prices, or stock flags are read.

SPA Interaction Flows

Clicks, infinite scroll, and "load more" loops trigger the same lazy content a human sees, so dynamically rendered catalogues are not truncated.

Anti-Bot Aware Sessions

Fingerprints, session pools, and proxy rotation sit behind the browser crawler so JS challenges and geo blocks stop killing overnight runs mid-flight.

Adaptive Browser Use

Where mixed sites allow it, cheap HTTP runs first and Playwright only engages when the page needs JavaScript, cutting compute without losing SPA coverage.

Monitoring & Fill-Rate Alerts

Run status and field fill checks so silent SPA layout changes surface in minutes, not when ops discovers empty competitor pricing on Monday.

Stack We've Deployed for Dynamic Site Scraping

PlaywrightCrawlerAdaptive PlaywrightReact / Vue / Angular SPAsApify ActorsResidential proxiesCRM & warehouse delivery
Client Story

From 65% Coverage to 96% on SPA Competitor Sites

How a retail competitive-intel team stopped collecting empty shells and cut scraper babysitting from 18 hours a week to four.

Before

The HTTP Scraper Process

  • HTTP scrapers hit React and Vue storefronts and returned blank product grids
  • Engineers added longer sleeps hoping SPA hydration would finish; it rarely did
  • Coverage stuck around 65% across seven priority competitor domains
  • Pricing decisions waited on incomplete sheets or manual spot-checks
  • Two engineers spent evenings restarting failed runs and patching selectors
18 hrs/week spent babysitting scrapers
After

The Crawlee Playwright Process

  • PlaywrightCrawler opens each SPA, waits for product selectors, then extracts
  • Scroll and "load more" loops pull the full lazy catalogue, not the first screen
  • Fill rates on JavaScript-rendered targets rose to 96%
  • Overnight feeds land complete enough for morning pricing reviews
  • Ops reviews exceptions; engineers stop living in the scrape queue
4 hrs/week reviewing exceptions and alerts
670+ engineer hours recovered per year
96% fill rate on SPA competitor targets
R290K+ recovered in staff time (year 1)
11 weeks to full ROI
The Difference

Before vs After Crawlee Playwright

Before
After
SPA / JS site coverage
60–70% (empty shells)
95%+ fill rates
Hydration strategy
Fixed sleeps, still incomplete
Wait-for-selector on live DOM
Engineer babysitting
15–25 hrs/week
3–5 hrs/week review
Success drift over 6 months
20–40% degradation
Monitored, alerted, patched
Anti-bot / JS challenges
HTTP requests often blocked
Browser sessions + proxies
Annual time recovered
None
650+ engineer hours
Getting Started

How It Works

From first conversation to stable SPA fill rates in 2–4 weeks for focused targets.

01

Tell Us Your Targets

Which SPA and JS-heavy sites fail today, what fields matter, and how incomplete data hurts pricing or sales.

02

Free Scoping Call

30-minute call to map hydration points, anti-bot friction, success criteria, and where Playwright replaces HTTP scrapers.

03

Build & Test

We build Crawlee Playwright scrapers, validate wait strategies against live SPA targets, and measure fill rates before go-live.

04

Go Live & Monitor

Switch off the empty-shell ritual. Alerts, runbooks, and fill-rate checks keep JavaScript-rendered extraction reliable.

Questions

Frequently Asked Questions

Why do our HTTP scrapers fail on modern competitor websites?

Most modern sites are SPAs or hybrid apps. Over 70% of pages now need JavaScript to show meaningful content, up from roughly a third in 2018. A plain HTTP request often receives an empty shell. Crawlee with Playwright drives a real browser, waits for hydration, then extracts the live DOM or intercepted JSON.

How is Crawlee with Playwright different from a general Crawlee scraper build?

General Crawlee work covers queues, retries, and maintainable scrapers across HTTP and browser modes. This engagement focuses on JavaScript-heavy dynamic sites: Playwright rendering, wait-for-selector discipline, SPA clicks and scroll loops, and anti-bot JS challenges that defeat HTTP scrapers. If your pain is empty SPA pages, this is the build you need.

Will browser scrapers cost much more to run than our current HTTP jobs?

Browsers use more memory and run slower than HTTP crawlers (often tens of pages per minute versus hundreds). We only use Playwright where the page needs it, and Adaptive Playwright patterns can cut compute by 5–10× on mixed estates. Apify compute units for a typical Playwright pass are still a fraction of the engineer hours you spend babysitting failed HTTP runs.

Can this handle Cloudflare and other bot walls on SPA targets?

Browser automation plus session-aware proxies and fingerprints recovers far more of those sites than plain HTTP requests. Commodity anti-bot walls now cover over half of the reachable top million sites. We scope each target honestly: some need residential proxies and tuned sessions; a few enterprise walls remain out of reach without specialised tooling.

How long does a Crawlee Playwright SPA scraper take to deliver?

A focused Playwright scraper for one to three well-understood SPA targets typically takes 2–4 weeks from scoping to stable fill rates. Multi-source estates with CRM or warehouse delivery, adaptive routing, and monitoring take closer to 4–8 weeks. We measure coverage on your live targets before calling it done.

How much does Crawlee Playwright dynamic-site scraping cost?

Focused Playwright scrapers for a small set of SPA targets start from around R35,000. Multi-source production builds with adaptive browser use, proxies, monitoring, and CRM or warehouse delivery typically range from R55,000 to R95,000. Teams burning 15+ hours a week on failed HTTP scrapers usually recover the project cost within 2–4 months from engineering time alone.

Ready to recover the data?

Stop Losing SPA Data to Empty HTTP Shells

If your competitive intel or pricing feeds still fail on JavaScript-heavy dynamic sites, you are paying engineer hours for a problem that Crawlee with Playwright already solves.

Tell us which SPA targets break today, what fields ops needs every morning, and how incomplete coverage shows up in the business. We will show you what Playwright-based extraction would recover and how quickly it pays for itself.

Chat with us