DevDot Tech | About Us

Automate Data Collection & Streamline Workflows

Unlock valuable insights trapped on the web and eliminate manual, repetitive tasks. We build reliable, scalable data scraping solutions and implement Robotic Process Automation (RPA).

Custom Web Scraping
Robotic Process Automation (RPA)
Data Cleansing & Structuring
API Integration & Development

Harness Web Data & Boost Efficiency

Access critical information and free up your team from tedious manual processes.

Data Acquisition at Scale

Access Hard-to-Reach Data

Systematically extract data from websites, APIs, documents, and other sources, even behind logins or complex interfaces. We handle anti-scraping measures ethically and effectively.

Gather market intelligence, competitor pricing, product information, or any public data crucial for your business strategy.

Process Automation (RPA)

Eliminate Manual Tasks

Automate repetitive, rule-based tasks across applications using Robotic Process Automation (RPA). Free up your employees for higher-value work.

Ideal for data entry, report generation, system integration, form filling, and other tedious digital processes.

Reliable & Maintainable

Built for Longevity

We build robust scrapers and automation bots designed to handle website changes and exceptions gracefully. Our code is clean, well-documented, and easy to maintain.

Includes monitoring and alerting to ensure continuous operation and data integrity.

Scraping & Automation Services

Tailored solutions for your specific data extraction and workflow automation needs.

Custom Web Scraping

Development of scalable web crawlers and scrapers using Python (Scrapy, Selenium, BeautifulSoup) to extract data from simple or complex dynamic websites. Handles logins, CAPTCHAs, and anti-bot measures.

PythonScrapySeleniumProxy Management

RPA Implementation

End-to-end Robotic Process Automation development using platforms like UiPath, Automation Anywhere, or open-source tools. Automate tasks across desktop applications, web interfaces, and legacy systems.

UiPathAutomation AnywhereWorkflow DesignBot Orchestration

Data Processing & Delivery

Cleaning, structuring, and enriching extracted data into desired formats (CSV, JSON, Database). Automated delivery via APIs, cloud storage (S3, GCS), or direct database insertion.

Data CleaningData StructuringAPI DeliveryCloud Storage

Our Scraping & Automation Process

A methodical approach ensures reliable data extraction and efficient automation.

01

Feasibility Study & Planning

Analyzing target websites/processes, assessing technical challenges (anti-scraping, dynamic content, application interfaces), defining data fields/workflow steps, and planning the extraction/automation strategy.

02

Development & Configuration

Building the scraper code (e.g., spiders in Scrapy) or configuring the RPA bot (e.g., UiPath Studio). Implementing logic for navigation, data extraction/interaction, error handling, and proxy rotation if needed.

03

Testing & Refinement

Rigorous testing against target sites/applications to ensure accurate data extraction and workflow execution. Refining selectors, logic, and error handling based on test results.

04

Deployment & Monitoring

Deploying the scraper/bot to a server or cloud environment. Setting up scheduling, monitoring for failures or website changes, and configuring automated data delivery mechanisms.

Stop Manual Data Entry & Collection. Start Automating.

Let's discuss how data scraping and automation can save you time, reduce errors, and provide critical data insights.

Scraping & Automation Outcomes

Clean, reliable data — delivered on schedule, at scale.

↑10×

Data collection throughput with concurrent crawlers

↓85%

Manual data entry after automation & parsing

99.8%

Job success with proxy rotation & health checks

≤48 hrs

From spec to first dataset delivery

Engagement Models

Pick your speed — we’ll handle the rest.

Fixed-Scope Packages

Targeted scraper/MVP, anti-bot hardening, schema & sample export (CSV/JSON/S3).

Typical: 1–3 weeks

Sprint-Based

Fleet orchestration, scheduling, change detection, QA & dedupe pipelines.

Typical: 1–2 months

Managed Ops

Fully managed scraping & delivery SLAs (feeds/APIs), monitoring, legal/compliance guardrails.

Typical: ongoing

Data Scraping & Automation FAQs

Addressing common questions about data extraction and RPA.

Let's Build The Future, Together.

Have a project in mind or just want to explore possibilities? Drop us a line. We provide a no-obligation proposal with a clear timeline and transparent pricing.

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