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OrzaenOrzaen

Web Scraping & Data Extraction

Stop losing hours to manual data collection

Your competitors already have automated feeds. You are still copy-pasting. We turn messy web sources into clean datasets, so your team can move faster.

2,000+
Websites Scraped
100M+
Rows Delivered
4+
Years Experience
API + OCR
Advanced Extraction

What usually breaks first

Most teams lose 10+ hours every week to manual data collection; copy-pasting from websites, chasing outdated spreadsheets, and paying premium prices for data subscriptions that never quite fit. When the source changes, the process breaks.

Web scraping and data extraction workflow

Reliable web data pipelines for teams tired of manual collection

At Orzaen, we build custom extraction workflows for websites, directories, e-commerce platforms, PDFs, login portals, hidden APIs, mobile app endpoints, and protected sources where access is permitted.

We inspect the source first, then choose the cleanest stable path: static crawling, browser automation, hidden APIs, OCR, AI cleanup, session handling, proxy rotation, or scheduled data pipelines. The result is clean structured data delivered in the format your workflow needs.

Client Feedback

“Wonderful to work with, knowledgable and kind! Great work!”

Karah S. / CRM Operations Manager, MarketSurge User

Barriers We Remove

The parts that usually break first

We turn fragile sources into stable extraction workflows your team can rely on.

Market Intelligence

Competitors already track pricing and listings

Our Solution

Automated feeds keep teams informed

Revenue Operations

Lead lists decay before outreach begins

Our Solution

Fresh data improves campaign timing

Compliance

Manual checks miss source changes

Our Solution

Monitoring flags changes before risk

Operations

Teams waste hours collecting records

Our Solution

Scheduled extraction removes repeat work

Finance

Messy documents delay reporting workflows

Our Solution

OCR converts files into records

Data Quality

Duplicate records break downstream systems

Our Solution

Validation keeps datasets usable

Market Intelligence

Competitors already track pricing and listings

Our Solution

Automated feeds keep teams informed

Revenue Operations

Lead lists decay before outreach begins

Our Solution

Fresh data improves campaign timing

Compliance

Manual checks miss source changes

Our Solution

Monitoring flags changes before risk

Operations

Teams waste hours collecting records

Our Solution

Scheduled extraction removes repeat work

Finance

Messy documents delay reporting workflows

Our Solution

OCR converts files into records

Data Quality

Duplicate records break downstream systems

Our Solution

Validation keeps datasets usable

Services

Extraction systems built around your actual data source

01

Web, Directory & API Extraction

Extract structured data from websites, directories, search portals, login flows, JavaScript-rendered pages, hidden APIs, GraphQL endpoints, and backend network calls.

02

Bot-Protection & Access Resilience

Handle rate limits, blocked requests, session expiry, rotating IPs, browser fingerprints, CAPTCHA workflows, Cloudflare challenge pages, retries, and source changes with responsible extraction controls.

03

E-commerce & Price Monitoring

Collect product catalogs, SKUs, prices, inventory, variants, images, supplier data, marketplace listings, and competitor price changes through scheduled tracking systems.

04

Lead, Social & Market Intelligence

Build datasets from company directories, professional profiles, social platforms, YouTube, forums, comments, job boards, real estate sources, and market research platforms.

05

OCR, PDF & Public Records Extraction

Process scanned PDFs, image-based files, invoices, reports, government portals, licenses, patents, healthcare records, and other public or regulated data sources.

06

Scheduled Data Pipelines & Delivery

Build recurring extraction systems with cleaning, deduplication, validation, databases, Google Sheets or Airtable sync, API delivery, dashboards, webhooks, alerts, and handover documentation.

Use Cases

What teams automate with extracted data

01

Competitor price tracking

Before

Manual checks across 50+ product pages, 2 hrs/day

After

Automated daily feed to Google Sheets with change alerts

02

Lead generation at scale

Before

Copy-pasting contacts from directories, incomplete data

After

10K verified leads delivered weekly with enrichment

03

Product catalog aggregation

Before

Outdated spreadsheets, missing SKUs and images

After

Real-time sync with supplier APIs, normalized output

04

Market research

Before

Paying $5K+/month for data subscriptions

After

Custom extraction pipeline at fraction of the cost

05

Document digitization

Before

Manual data entry from scanned PDFs and forms

After

OCR pipeline extracting 100K+ records with validation

06

Social media monitoring

Before

Checking platforms manually for brand mentions

After

Automated collection of posts, comments, and engagement

Data Sources

Sources we can turn into usable data

Source Registry

Websites

Approach

Static HTML parsing for simple pages. JavaScript rendering via Playwright/Selenium for dynamic SPAs. Rate limiting, retry logic, and proxy rotation for resilience.

Output

Structured JSON, CSV, or database records with normalized fields and deduplicated entries.

Examples

Directories, listings, news sites, blogs, documentation portals, job boards, review aggregators.

Data Types

Data organized for decisions, reporting, and operations

We do not just collect raw rows. We structure the output around how your team will search, compare, verify, and use the data.

6core data categories covered through custom extraction pipelines

Commerce & Product Intelligence

Product catalogs, prices, inventory, reviews, restaurants, vehicles, and marketplace listings.

Products · Reviews · Prices · Inventory · Restaurants · Vehicles

Lead & Organization Data

Company profiles, directories, contacts, jobs, professional profiles, and business metadata.

Companies · Contacts · Jobs · Profiles · Directories

Social & Community Signals

Social posts, comments, forums, hashtags, engagement, creator data, and audience activity.

Posts · Comments · Forums · Hashtags · Engagement

Market & Search Intelligence

Search results, keyword trends, news, articles, rankings, SERP data, and market visibility signals.

Search Results · Keywords · News · Articles · Rankings

Public & Regulated Records

Government portals, licenses, patents, healthcare listings, public datasets, and official records.

Licenses · Patents · Healthcare · Public Records · Government Data

AI & Analytical Datasets

Clean structured datasets prepared for AI systems, analytics, enrichment, and internal workflows.

AI Data · Training Data · Analytics · Enrichment · Internal Data

Production Stack

Built with tools that support reliable extraction at scale

We use proven automation, parsing, validation, storage, and delivery tools depending on the source complexity and business workflow.

01

Acquisition

Tools for stable collection from public sites, portals, dynamic pages, and source-specific workflows.

Python logoPython
Playwright logoPlaywright
Selenium logoSelenium
Requests
Browser Bots logoBrowser Bots
Automation Scripts logoAutomation Scripts

02

Access Stability

Controls for sources with sessions, rate limits, changing access behavior, or blocking patterns.

Proxy Rotation
Session Handling
Request Pacing
Retry Logic
Browser Automation
CAPTCHA Workflows

03

Processing

Cleanup, normalization, enrichment, and document extraction workflows.

Pandas logoPandas
OpenRefine
DuckDB logoDuckDB
OCR logoOCR

04

Scale & Scheduling

Systems for recurring jobs, large volumes, queues, and controlled execution.

Apache Spark logoApache Spark
Apache Kafka logoApache Kafka
Apache Airflow logoApache Airflow
Cron Jobs logoCron Jobs

05

Storage & APIs

Structured storage and backend layers for searchable, reusable datasets.

PostgreSQL logoPostgreSQL
MongoDB logoMongoDB
Redis logoRedis
FastAPI logoFastAPI
Docker logoDocker

06

Delivery

Exports and handoff formats your team can actually work with.

Google Sheets logoGoogle Sheets
Airtable logoAirtable
Looker Studio logoLooker Studio
Webhooks logoWebhooks

07

Alerts

Notifications when extraction jobs complete, fail, get blocked, or detect changes.

Gmail logoGmail
Slack logoSlack
Run Logs
Failure Alerts

Data Pipeline

Our implementation blueprint

We follow a controlled extraction methodology so your data workflow is stable, repeatable, and ready for real business use.

1

Review the sources

We inspect the websites, pages, logins, pagination, hidden APIs, and available fields before building.

2

Set up extraction

We choose the right method: crawler, browser automation, API extraction, or scheduled scraping.

3

Clean the data

We remove duplicates, fix formats, normalize fields, and turn raw scraped records into usable data.

4

Add quality checks

We check missing fields, failed requests, changed layouts, duplicate rows, and incomplete runs.

5

Deliver usable output

You receive clean CSV, Excel, Sheets, JSON, database records, dashboards, or scheduled exports.

Controlled Workflow

Every layer connects source access, extraction method, cleanup, validation, and delivery into one production workflow.

FAQ

Questions clients ask before starting extraction

Still have questions? We typically respond within 2 hours.

Request a Quote

Turn messy web sources into usable data

Manual collection, broken sources, messy exports — send the source, and we’ll map the cleanest extraction path.

No perfect brief needed.

Project Brief

Tell us what you want collected

Service page captured
Private review
No commitment