QuickScraper

AI Powered Web Scraping & Automation

Custom Scraping & Automation Built for Your Workflow

QuickScraper designs and runs production grade scraping, browser agents, monitoring pipelines, and data integrations — scoped to your systems, not a one size fits all tool.

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AnalyticsLive Data FeedLive Extraction99.8%Global ProxiesActive100+
50+

Custom Parsers Delivered

100+

Automation Workflows Delivered

10+

Core Service Offerings

Services

AI Powered Web Scraping & LLM Ready Data

Extract, clean, structure, and transform web content into Markdown, JSON, and AI ready datasets for RAG, knowledge bases, and AI agents.

AI Browser Agents & Web Automation

Build intelligent browser agents that navigate websites, handle dynamic workflows, interact with web applications, and complete multi step tasks.

Self Healing Web Scraping & Automation

Build resilient automation that detects website changes, adapts selectors, and recovers from common scraping and automation failures.

Real Time Data & Competitive Monitoring

Monitor prices, products, inventory, competitors, listings, rankings, and website changes with automated alerts and data feeds.

Advanced Web Scraping & Data Extraction

Extract structured data from dynamic websites, marketplaces, portals, directories, and JavaScript heavy applications.

AI Powered QA & Test Automation

Build intelligent end to end, regression, and cross browser test automation with Playwright and CI/CD integration.

Browser Automation at Scale

Run high volume browser workflows using Playwright and Puppeteer with parallel workers, queues, scheduling, screenshots, and PDF generation.

Intelligent Document Processing (IDP)

Extract structured information from PDFs, invoices, receipts, forms, scanned documents, and images using OCR and multimodal AI.

Data Quality & Anomaly Detection

Validate extracted data and detect missing fields, duplicates, schema changes, invalid values, and anomalies before production use.

Custom Web to API & Data Pipelines

Connect permitted web data sources and legacy systems to APIs, databases, dashboards, CRMs, and automated data pipelines.

Platform strengths

Capabilities built for reliable data at scale

From anti-bot resilience to delivery and orchestration, these capabilities keep extraction pipelines running so your team gets clean, timely data—not fire drills.

  • Reliability
  • Scalability
  • Automation

Anti-Bot Handling

Reliability

Navigate common anti-bot protections so extraction stays consistent across sites with different defense levels—fewer blocked runs, more predictable delivery.

CAPTCHA Handling

Reliability

Keep automated collection moving when CAPTCHA challenges appear, with workflows designed to reduce interruptions and protect job completion rates.

Proxy Rotation

Scalability

Distribute requests across rotating IPs to improve throughput and reduce IP-based blocking as volume and target coverage grow.

Scheduling

Automation

Run scrapers on recurring, daily, weekly, or custom schedules aligned to business cycles—so fresh data arrives without manual kicks.

Breakage Monitoring

Reliability

Detect failures, site changes, selector issues, and odd response patterns early so teams can fix problems before data gaps hit production.

Delivery Formats

Automation

Export structured data as JSON, CSV, Excel, Markdown, or other formats your analysts and systems already use—ready for the next step.

API / Database Integration

Scalability

Pipe extracted data into APIs, databases, dashboards, and internal apps so web sources feed live pipelines instead of one-off downloads.

n8n Integration

Automation

Connect scrapers to n8n to trigger workflows, sync third-party apps, and build custom automation from web data to downstream actions.

Ready to put these capabilities to work?

Tell us your sources, volume, and destination systems—we’ll map the right mix of reliability, scale, and automation for your pipeline.

Sample outputs

Proof

Example outputs that demonstrate the structure and quality of data we extract. These are realistic mocks—not live private data—so you can evaluate field depth, formats, and delivery readiness.

Facebook Group Scraper

Posts, engagement metrics, and media from public Facebook groups.

{
  "groupId": "g_4829103756",
  "groupName": "Indie SaaS Founders Network",
  "postId": "p_9912044581",
  "authorName": "Jordan Hale",
  "authorUrl": "https://facebook.com/example.jordan.hale",
  "content": "Just launched our waitlist for a B2B pricing intelligence tool. Looking for early feedback from founders who scrape competitor pages weekly.",
  "createdAt": "2026-03-14T18:42:11Z",
  "likes": 128,
  "comments": 34,
  "shares": 9,
  "postUrl": "https://facebook.com/groups/example/posts/9912044581",
  "mediaUrls": [
    "https://cdn.example.com/media/fb-post-9912044581-1.jpg",
    "https://cdn.example.com/media/fb-post-9912044581-2.jpg"
  ]
}

Amazon Seller Product Scraper

Catalog details, pricing, ratings, and seller metadata for marketplace products.

{
  "asin": "B0EXAMPLE42",
  "title": "AeroBrew Compact Espresso Maker — 15 Bar, Stainless Steel",
  "brand": "AeroBrew",
  "price": 89.99,
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 1842,
  "availability": "In Stock",
  "sellerName": "AeroBrew Official Store",
  "sellerId": "A2SELLEREXMPL",
  "category": "Home & Kitchen > Coffee, Tea & Espresso",
  "imageUrl": "https://cdn.example.com/amazon/B0EXAMPLE42.jpg",
  "productUrl": "https://www.amazon.com/dp/B0EXAMPLE42"
}

TikTok Profile Detail Scraper

Public profile stats, bio, and identity fields for creator research.

{
  "userId": "7123456789012345678",
  "username": "nova.crafts",
  "displayName": "Nova Crafts",
  "bio": "DIY + upcycled home finds. New builds every Tue/Thu. Business: hello@novacrafts.example",
  "followers": 482300,
  "following": 312,
  "likes": 9200000,
  "videoCount": 486,
  "verified": false,
  "avatarUrl": "https://cdn.example.com/tiktok/avatars/nova-crafts.jpg",
  "profileUrl": "https://www.tiktok.com/@nova.crafts"
}

Twitter Post Scraper

Tweet text, engagement counts, hashtags, and canonical post URLs.

{
  "tweetId": "1748291044556623872",
  "authorHandle": "datastacknotes",
  "authorName": "Data Stack Notes",
  "text": "Shipping a weekly competitor price feed in under 20 minutes with scheduled scrapers + schema validation. Thread on the pipeline below.",
  "createdAt": "2026-02-28T14:11:09Z",
  "likes": 842,
  "retweets": 196,
  "replies": 57,
  "views": 48200,
  "hashtags": [
    "webscraping",
    "dataengineering",
    "automation"
  ],
  "mediaUrls": [
    "https://cdn.example.com/twitter/1748291044556623872.png"
  ],
  "tweetUrl": "https://twitter.com/datastacknotes/status/1748291044556623872"
}

LinkedIn Profile Scraper

Public profile headlines, experience, education, and connection signals.

{
  "profileId": "urn:li:example:a1b2c3d4",
  "fullName": "Morgan Ellis",
  "headline": "Senior Data Engineer | Marketplace Intelligence & Pipelines",
  "location": "Austin, Texas, United States",
  "about": "I build reliable extraction and enrichment pipelines for e-commerce and social datasets. Focused on schema quality, monitoring, and delivery into warehouses.",
  "experience": [
    {
      "title": "Senior Data Engineer",
      "company": "Northline Analytics",
      "startDate": "2023-05",
      "endDate": null,
      "location": "Austin, TX"
    },
    {
      "title": "Data Engineer",
      "company": "BrightCart Labs",
      "startDate": "2020-08",
      "endDate": "2023-04",
      "location": "Remote"
    }
  ],
  "education": [
    {
      "school": "University of Texas at Austin",
      "degree": "B.S. Computer Science",
      "endYear": 2019
    }
  ],
  "connections": 500,
  "profileUrl": "https://www.linkedin.com/in/example-morgan-ellis"
}

Business outcomes

Use Cases

Practical ways teams use QuickScraper to collect, monitor, and act on web data—without building and maintaining brittle scrapers in-house.

Price Monitoring

Track product and service prices across websites and marketplaces to identify price changes, competitor pricing, discounts, and market trends.

Stay ahead of competitors with automated pricing intelligence that feeds directly into pricing and merchandising decisions.

  • Monitor prices automatically
  • Track competitor pricing
  • Detect price changes and promotions
  • Receive structured, up-to-date pricing data
  • Support pricing and business decisions

Data Backups

Automatically collect and securely store important website or business data to maintain reliable historical records and reduce the risk of data loss.

Build a durable archive of critical public and business data so teams can recover, audit, and analyze without starting from scratch.

  • Scheduled data collection
  • Automated backups
  • Historical data retention
  • Structured and exportable data
  • Reliable recovery and data access

Lead Generation

Collect relevant business and prospect information from online sources to build targeted, high-quality lead databases.

Fill your CRM with cleaner prospect lists so sales and marketing spend time on outreach—not manual research.

  • Identify potential customers
  • Collect business and contact information
  • Build targeted prospect lists
  • Filter and organize leads
  • Export data for CRM and sales workflows

Market Intelligence

Collect and analyze publicly available web data to understand competitors, market trends, products, pricing, and customer activity.

Turn fragmented public signals into a clear view of your market so strategy is driven by evidence, not guesswork.

  • Competitor monitoring
  • Market and industry research
  • Product and pricing analysis
  • Trend identification
  • Data-driven business insights

Hire a Specialized Web Scraping Developer

Engage experienced developers who design production-grade scrapers, browser automation, and AI-assisted extraction—scoped to your workflows, integrations, and compliance requirements.

All engagements emphasize legal, ethical, and website terms-compliant data collection. We do not build solutions intended to circumvent access controls or violate site terms.

Custom Web Scraper Developer

Hire a custom web scraper developer to build extraction systems tailored to your business rules—not generic templates. From one-off structured pulls to scheduled pipelines, we design scrapers that fit your sources, schemas, and destination systems while respecting applicable laws and site terms.

What we build

  • Bespoke scrapers for specific product, listing, or research workflows
  • Extraction pipelines that clean, transform, and export to your preferred formats
  • Browser-assisted collection for JavaScript-rendered and multi-step sites
  • Scheduled jobs with monitoring, retries, and operational alerts
  • Integrations into APIs, databases, CRMs, dashboards, and cloud storage

Key capabilities

  • Structured and unstructured data extraction from permitted web sources
  • Handling dynamic pages, pagination, sessions, and authenticated flows you are authorized to access
  • Data transformation, deduplication, cleaning, and schema normalization
  • Proxy and session strategies for reliable, rate-respectful collection where appropriate
  • CAPTCHA and anti-bot considerations framed as resilience and compliance—not circumvention
  • Error handling, logging, scraper maintenance, and scalable architectures

Technologies & integrations

  • Python, Node.js, Playwright, Puppeteer
  • HTTP clients, HTML parsers, and headless browsers
  • Queues, schedulers, and worker pools
  • REST/GraphQL APIs, SQL/NoSQL databases, warehouses
  • AWS, GCP, Azure, and containerized deployments
  • CRM, BI, and dashboard connectors

Business use cases

  • Market research and competitive intelligence
  • Price and inventory monitoring
  • Lead generation from public business directories (where permitted)
  • Real estate listing aggregation
  • E-commerce product and catalog intelligence
  • Business intelligence feeds for internal analytics

Why hire this specialist

  • Solutions shaped around your exact fields, edge cases, and SLAs
  • Fewer brittle workarounds than one-size-fits-all scraper tools
  • Clear ownership of monitoring, maintenance, and change response
  • Architecture that grows with volume without rewriting from scratch

Scale, reliability & maintenance

Scalability
Horizontal workers, queues, and cloud runtimes sized to your volume and freshness needs.
Security
Secrets management, least-privilege access, and secure handling of credentials you provide for authorized systems.
Maintenance
Selector reviews, schema checks, and proactive fixes when target sites change layouts.
Performance
Efficient parsing, caching where appropriate, and tuned concurrency that respects rate limits.

AI Web Scraper Developer

Hire an AI web scraper developer to combine traditional scraping with machine learning and LLMs—so semi-structured and messy web content becomes clean, classified, and ready for analytics or AI applications. Ideal when layouts shift often or content is narrative rather than tabular.

What we build

  • AI-assisted extraction pipelines that identify, classify, and normalize fields
  • LLM-powered parsing for articles, listings, and document-like pages
  • Hybrid systems that pair browser automation with model-based understanding
  • Enrichment, categorization, and validation layers on top of raw extracts
  • Cloud workflows that feed databases, APIs, and downstream AI products

Key capabilities

  • Intelligent structuring of unstructured and semi-structured web content
  • Layout-resilient extraction that adapts when page structures drift
  • Automated cleaning, categorization, enrichment, and confidence scoring
  • Document and content understanding for research and knowledge bases
  • Combining AI with Playwright/Puppeteer and classic parsers where each fits best
  • Human-in-the-loop review hooks for high-stakes data quality gates

Technologies & integrations

  • LLMs, embeddings, and classification models
  • Python/Node pipelines with Playwright or Puppeteer
  • OCR and multimodal extraction where documents appear on the web
  • Vector stores and RAG-ready Markdown/JSON outputs
  • Orchestration on cloud functions, containers, and managed queues
  • Analytics platforms, data lakes, and application APIs

Business use cases

  • Product and catalog intelligence from mixed page formats
  • Content analysis and topic clustering at scale
  • Research automation across public reports and articles
  • Lead enrichment from public firmographic pages
  • Competitive intelligence summaries
  • Knowledge-base and RAG dataset creation

Why hire this specialist

  • Higher yield from messy pages that break rigid CSS selectors alone
  • Faster adaptation when competitors redesign templates
  • Outputs shaped for AI agents, search, and analytics—not just CSV dumps
  • Clear separation of model cost, latency, and accuracy trade-offs

Scale, reliability & maintenance

Scalability
Batch and stream pipelines with model routing, caching, and cost controls.
Security
Careful handling of prompts, PII minimization, and vendor model policies you approve.
Maintenance
Prompt/schema versioning, evaluation sets, and monitoring for extraction drift.
Performance
Selective AI use—deterministic parsers first, models where they add clear value.

Playwright Developer

Hire a Playwright developer for reliable browser automation across Chromium, Firefox, and WebKit. We build scraping workflows, end-to-end tests, and production automation that handle modern JavaScript apps with solid selectors, contexts, and CI-friendly execution.

What we build

  • Custom Playwright scrapers for dynamic, SPA-heavy websites
  • Multi-browser automation for Chromium, Firefox, and WebKit where needed
  • Authenticated flows, form workflows, downloads, and file handling you are authorized to use
  • End-to-end and regression test suites integrated with CI/CD
  • Headless and headed runs for debugging, monitoring, and production jobs

Key capabilities

  • Navigation, locators, waits, and resilient interaction patterns
  • Browser contexts, cookies, sessions, and parallel workers
  • Proxy, timeout, retry, and structured error-handling strategies
  • Screenshots, traces, and artifacts for debugging failures
  • Scalable architectures with queues and cloud browser fleets
  • Ongoing maintenance and performance tuning of Playwright projects

Technologies & integrations

  • Playwright (Node.js and Python bindings)
  • TypeScript/JavaScript test and scraping projects
  • GitHub Actions, GitLab CI, Jenkins, and similar pipelines
  • Docker and cloud workers for parallel execution
  • API and database handoffs after browser collection
  • Monitoring hooks and alerting on job health

Business use cases

  • Scraping JavaScript-heavy portals and dashboards
  • Cross-browser QA and release verification
  • Workflow automation that must “use the UI” like a user
  • Scheduled monitoring of critical customer journeys
  • PDF/screenshot capture and reporting pipelines
  • Hybrid scrape-then-API enrichment systems

Why hire this specialist

  • One toolkit for scraping, testing, and monitoring with shared patterns
  • Strong multi-browser coverage when your audience spans engines
  • Faster debugging with traces and consistent project structure
  • Automation that survives SPA quirks better than naive HTTP scraping

Scale, reliability & maintenance

Scalability
Sharded suites and worker pools for high-volume scraping and CI parallelism.
Security
Isolated contexts, secret injection for authorized logins, and safe artifact storage.
Maintenance
Locator audits, flake reduction, and version upgrades without wholesale rewrites.
Performance
Smart waits, reuse of contexts, and avoidance of unnecessary full-page loads.

Puppeteer Developer

Hire a Puppeteer developer for Chromium-focused scraping and automation in Node.js. We automate navigation, forms, screenshots, PDFs, and data extraction from dynamic sites—then wire results into your APIs, databases, and cloud jobs with clear logging and maintenance plans.

What we build

  • Puppeteer scrapers for JavaScript-rendered sites and web apps
  • Interaction scripts for clicks, scrolls, forms, and multi-page journeys
  • Screenshot, PDF, and file-download automation for reporting
  • Session, cookie, and pagination handling for authorized workflows
  • Node.js services that expose results via APIs or scheduled workers

Key capabilities

  • Headless Chrome/Chromium automation tuned for production
  • Data extraction from SPAs and interactive UIs
  • Scalable scraping with concurrency controls and queues
  • Error handling, structured logging, and retry policies
  • Performance optimization and resource cleanup for long-running jobs
  • Ongoing scraper maintenance as target UIs evolve

Technologies & integrations

  • Puppeteer and Node.js
  • Express/Fastify or serverless HTTP wrappers
  • Redis/SQS-style queues and cron schedulers
  • SQL/NoSQL stores and object storage
  • Docker, Kubernetes, or managed container platforms
  • CI hooks for smoke tests and regression checks

Business use cases

  • Dynamic marketplace and catalog extraction
  • Automated reporting via screenshots and PDFs
  • Repetitive browser tasks that should not stay manual
  • Monitoring critical pages for content or availability changes
  • Feeding CRMs and internal tools from permitted web sources
  • Prototyping Chromium automation before scaling out

Why hire this specialist

  • Deep Chromium control with a mature Node.js ecosystem
  • Faster delivery when your stack is already JavaScript-centric
  • Clear path from script to scheduled production worker
  • Maintainable code with logging and ownership—not fragile one-offs

Scale, reliability & maintenance

Scalability
Worker pools and job queues sized for your concurrency and memory budget.
Security
Hardened browser flags, credential isolation, and controlled network egress.
Maintenance
Selector updates, dependency bumps, and runbook-driven incident response.
Performance
Page blocking of unused assets, pooled browsers, and lean extraction paths.

Pricing

Engagement Models & Pricing

Choose the billing model that matches how you prefer to work—predictable monthly capacity or flexible hourly support. Both include clear communication, scoped priorities, and production-minded delivery.

Most popular

Fixed Price

$1,900/month

Best suited for clients who need predictable monthly costs and a clearly defined scope of work.

Key benefits

  • Predictable monthly pricing
  • Clearly defined deliverables and priorities
  • Suitable for ongoing development and maintenance
  • Regular progress updates
  • Flexible allocation based on project priorities

Best suited for

  • Ongoing scraper development and maintenance
  • Roadmapped features with monthly capacity
  • Teams that want a fixed budget and steady progress
Flexible

Hourly Price

$15/hour

Best suited for clients who need flexible development support or have tasks that vary from month to month.

Key benefits

  • Pay only for the hours used
  • Flexible task allocation
  • Suitable for small enhancements, bug fixes, and ad-hoc development
  • Transparent hourly billing
  • Easy to scale development support based on requirements

Best suited for

  • Small enhancements and bug fixes
  • Ad-hoc or bursty development needs
  • Exploratory work before committing to a retainer

How to choose

Pick Fixed Price when…

You have continuous work each month, want a clear monthly budget, and prefer prioritized deliverables with regular updates.

Pick Hourly when…

Workload fluctuates, you need short bursts of help, or you want to pay only for the hours actually used.

Not sure which fits? Start with a short discovery call and we will recommend a model based on scope, urgency, and how work tends to arrive each month.

Tell us your goals and constraints—we will map them to the right engagement model and a clear next step.

Why Hire a Specialized Web Scraping Developer?

Off-the-shelf tools are useful for simple jobs. Specialized developers ship durable systems when sources are complex, volumes grow, or data must land cleanly in your stack.

Built for your constraints

Schemas, SLAs, auth you are allowed to use, and destination systems are first-class—not afterthoughts.

Production operations

Monitoring, retries, alerting, and ownership so failures are visible and fixable.

Compliance-minded delivery

Collection designed around legal, ethical, and terms-compliant access—not shortcuts that create risk.

Long-term maintainability

Readable code, docs, and change processes so the scraper survives site redesigns.

Web Scraping Development Process

A clear path from discovery to production keeps scope honest and delivery predictable.

  1. 1

    Discover & scope

    Confirm sources, fields, volume, freshness, and compliance boundaries. Align on success criteria.

  2. 2

    Prototype

    Prove extraction on representative pages and edge cases before committing to full volume.

  3. 3

    Build & integrate

    Implement scrapers or browser workflows and connect APIs, databases, or dashboards.

  4. 4

    Harden

    Add retries, logging, rate respect, validation, and monitoring for production readiness.

  5. 5

    Operate & improve

    Schedule jobs, watch health, and iterate when sites or requirements change.

Technologies and Tools We Use

We pick the lightest stack that meets reliability, cost, and integration goals.

Browsers & automation

  • Playwright
  • Puppeteer
  • Headless Chromium

Languages & runtimes

  • Python
  • Node.js
  • TypeScript

AI & structuring

  • LLMs
  • Classifiers
  • Embeddings
  • OCR where needed

Data & cloud

  • SQL/NoSQL
  • Object storage
  • Queues
  • Docker
  • AWS/GCP/Azure

Custom Scraping vs. Off-the-Shelf Scrapers

Choose the approach that matches complexity, control, and total cost of ownership.

Custom scraping

  • Exact fields, workflows, and business rules
  • Deep integrations with your stack
  • Ownership of code, logs, and SLAs
  • Best for complex or long-lived pipelines

Off-the-shelf tools

  • Faster start for simple, common sites
  • Less control over edge cases and scale
  • Vendor limits on customization and data flow
  • Can become costly or brittle as needs grow

AI-Powered vs. Traditional Web Scraping

Most strong systems blend both: deterministic extraction where structure is stable, AI where content is messy.

Traditional scraping

  • Selectors and parsers for known layouts
  • Predictable cost and latency
  • Excellent for stable catalogs and tables
  • Needs updates when DOM structures change

AI-powered extraction

  • Handles narrative and semi-structured pages
  • More resilient to template drift
  • Useful for classification and enrichment
  • Requires evaluation, cost controls, and quality gates

Web Scraping Use Cases by Industry

Teams across industries hire specialists when public, permitted data must feed decisions and products.

E-commerce & retail

Pricing, assortment, and availability intelligence for planning and merchandising.

Real estate

Listing aggregation and market snapshots from authorized public sources.

Finance & research

Structured feeds for analysts, with validation and audit-friendly pipelines.

Travel & hospitality

Rate and inventory monitoring within legal and contractual boundaries.

Recruiting & sales

Public firmographic and role signals for enrichment—not unauthorized private data access.

Media & content

Topic monitoring and knowledge-base building from public articles and feeds.

Scalable Cloud Web Scraping Solutions

Production scraping belongs in cloud environments with queues, autoscaling workers, secrets management, and observability—not a laptop cron job.

  • Horizontal scale for peak loads without over-provisioning idle capacity
  • Regional deployment options to meet latency and data residency needs
  • Centralized logs, metrics, and alerts for job health
  • Safe credential storage and controlled network egress

Data Quality, Validation, and Maintenance

Extraction is only valuable if the data stays trustworthy. We bake quality and maintenance into the engagement.

  • Schema validation, required-field checks, and duplicate detection
  • Anomaly alerts when volumes or distributions shift unexpectedly
  • Versioned parsers and change logs when sites update
  • Documented runbooks for incidents and selector repairs
  • Scheduled health checks so silent failures do not go unnoticed

Ready to Hire a Developer?

Tell us which specialty you need—custom scraping, AI extraction, Playwright, or Puppeteer—and we will scope a clear path to production.

Frequently Asked Questions

We handle static and dynamic sites, JavaScript-heavy SPAs, marketplaces, portals, authenticated applications, and multi-step browser workflows. Projects range from one-off extractions to production pipelines with scheduling, retries, and ongoing maintenance. We also build AI-powered QA and Playwright test automation, intelligent document processing, and custom web-to-API data pipelines.

AI powers LLM-ready data structuring (Markdown, JSON, RAG datasets), intelligent browser agents, self-healing selectors, document extraction (IDP), and anomaly detection. We turn raw web content into clean datasets your systems and AI agents can use immediately.

Yes. We build custom web-to-API pipelines that deliver data to your databases, CRMs, dashboards, webhooks, APIs, or cloud storage—and can connect into tools like n8n. Exports include JSON, CSV, Excel, Markdown, or any schema your team requires.

When a target site’s layout or DOM changes and selectors break, our systems detect the failure, adapt to the new structure, and retry automatically—reducing downtime without a full rewrite. Breakage monitoring catches selector issues and odd response patterns early so data gaps are fixed before they hit production.

Yes. We set up monitoring for prices, inventory, competitor listings, rankings, and content changes. You get structured feeds and alerts on a recurring schedule or in real time via webhooks.

Tell us the workflow you want to automate. We’ll review it and come back with a clear scope, timeline, and cost to run—not a sales deck. We only work with 10 clients per quarter so each engagement stays focused.

Yes. You can engage specialists for custom web scrapers, AI-assisted extraction, Playwright automation, or Puppeteer/Chromium workflows. Share your sources, volume, and destination systems and we will recommend the right approach.

We offer a Fixed Price model at $1,900/month for predictable capacity and defined deliverables, and an Hourly model at $15/hour for flexible or ad-hoc work. See the Engagement Models & Pricing section for benefits and which option fits best—or request a quote and we will recommend one.

Yes. Engagements emphasize legal, ethical, and website terms-compliant collection. We design for authorized access, rate respect, and responsible use. CAPTCHA and anti-bot work is framed as resilience and compliance—not circumventing access controls or violating site terms.

Depending on the engagement, we can include monitoring, alerting, retries, data validation, and maintenance when target sites change. Ongoing support is scoped upfront so ownership and response expectations are clear.

Use traditional parsers when layouts are stable and fields are well structured. Add AI when content is semi-structured or narrative, or when templates change often. Many projects combine both for cost and accuracy.

Limited Slots Left!

We only work with 10 clients per quarter.

Tell us the workflow. We'll come back with a scope, timeline, and what it costs to run — not a sales deck.

Your information stays with QuickScraper. We never sell leads or send spam.