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GeoIp2\Model\City Object
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [3] => isoCode
                    [4] => names
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [3] => isoCode
                    [4] => names
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
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                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [4] => metroCode
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        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => 43215
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            [validAttributes:protected] => Array
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                    [0] => code
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        )

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
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                                    [de] => Ohio
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                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
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)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

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  • Job Data Scraping from Naukri, Indeed & Monster

Automating Job Post Scraping from Indeed, Monster & Naukri for Talent Analytics

Learn how Actowiz automates job post scraping from Naukri, Indeed, and Monster to track hiring trends and power real-time talent analytics for HR intelligence.

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Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

In today's dynamic labor market, recruitment data is gold. Companies, HR platforms, talent intelligence firms, and workforce analysts are increasingly relying on real-time job market data to understand where the demand is growing, which skills are hot, and what companies are hiring.

But there’s a challenge.

Key job portals like Naukri.com, Indeed, and Monster don’t always offer direct access to structured datasets. APIs (where available) are restrictive, filters are limited, and bulk exports are nearly impossible without costly enterprise partnerships.

Enter Actowiz Solutions—a pioneer in job data scraping, hiring trend monitoring, and automated talent analytics solutions. This case study explains how Actowiz helped a global workforce analytics firm build a scalable system to track millions of job listings across Naukri, Monster, and Indeed, enabling them to deliver high-precision labor market insights to clients across 12 countries.

The Challenge

The-Client

The client, a leading HR SaaS platform serving Fortune 500 companies, had a critical need:

“We want to monitor real-time job postings for data science, software engineering, sales, and logistics across India, the U.S., and SEA. Manual search and limited APIs aren’t scalable. We need automated access to job-level data from Naukri, Indeed, and Monster.”

They needed to:

  • Track new job postings daily
  • Compare salary trends, company demand, and job descriptions
  • Tag job roles by industry, skillsets, and location
  • Create dashboards for market gap analysis
  • Enable real-time alerts for clients based on job post triggers

The challenge was to scrape large-scale, multi-platform job data without overloading servers or violating compliance protocols.

Actowiz Solutions’ Approach

Objective:

Create a high-frequency job post scraping system for Indeed, Monster, and Naukri that delivers structured data via API, dashboard, and downloadable formats.

Step 1: Platform Analysis & Coverage Strategy
The-Client

Each job portal had different formats, challenges, and rate limits.

Naukri.com (India)

  • Region-based listings
  • Filter-heavy URLs (experience, function, location, skills)
  • Pagination & hidden salary filters
  • High-volume duplicate listings from multiple recruiters

Indeed.com (Global)

  • Varying URLs by country (e.g., indeed.in, indeed.com, indeed.sg)
  • Limited job description previews on search result pages
  • CAPTCHA protection + frequent updates
  • Role categorization varies by region

Monster.com

  • Structured listing templates
  • Region and industry-based filters
  • Recruiter vs company differentiation
  • Limited job tag visibility
Step 2: Web Scraper Development

Actowiz developed dedicated scraper modules per platform, with:

  • DOM-based selectors + XPath targeting
  • Smart rotation of proxies and user agents
  • Failover mechanisms and delay simulation for ethical scraping
  • Cron jobs for daily/hourly refreshes based on client frequency
Step 3: Data Points Extracted
The-Client
Field Description
Job Title As listed on platform
Company Name Employer or recruiter
Location City, state, or remote
Experience Required Freshers, 3-5 years, etc.
Salary If listed (e.g., ₹6LPA - ₹10LPA)
Skills Keywords, hard/soft skills
Job Description Cleaned & structured content
Posted Date e.g., 1 day ago, 6 hours ago
Source Naukri, Indeed, or Monster
Job ID / URL Unique link for verification
Industry IT, Finance, Logistics, etc.
Step 4: Enrichment & Tagging
The-Client

To turn raw data into insights, Actowiz implemented:

  • AI-based keyword tagging for role classification
  • Salary normalization (₹/LPA, USD/hr, etc.)
  • Location mapping to regions, cities, and ZIPs
  • Post freshness scoring
  • Skill frequency scoring (e.g., Python > 6K times/week)

Results: Insights Delivered to Client

Within 4 weeks of deployment, Actowiz Solutions delivered:

Metric Value
Total Jobs Scraped/Week 1.2 Million+
Countries Covered 12
Platforms Naukri, Indeed, Monster
Industry Tags 34
Skill Tags Tracked 600+
Average Freshness 4.3 hours
Accuracy (Post vs Source) 98.7%

Output & Integrations

Real-Time API Endpoints
  • /jobs/today?skill=data+analyst&city=bangalore
  • /jobs/stats?industry=IT®ion=South-India
  • /alerts?new=true&company=Amazon
Delivery Formats
  • CSV, JSON, Excel
  • Power BI dashboards
  • Scheduled Google Sheet sync
  • Slack/Email alerts on trigger keywords (e.g., “Product Head – Remote”)

Sample Output Snapshot

Job Title Company Location Experience Salary Skills Platform Date Posted
Data Analyst Razorpay Bangalore 2-4 Yrs ₹8-12 LPA SQL, Tableau, Python Naukri 6 hrs ago
Senior DevOps Amazon Hyderabad 5-7 Yrs ₹20+ LPA AWS, CI/CD, Linux Indeed 2 days ago
Logistics Executive Flipkart Mumbai 1-3 Yrs ₹4-6 LPA Supply Chain, ERP Monster 12 hrs ago

Business Impact for the Client

Before Actowiz After Actowiz
Manual scraping by analysts Fully automated, real-time feed
Limited insight into hiring patterns Full-stack dashboard for all job categories
Delayed data (weekly reports) Hourly updates & alerts
Unstructured text Clean, filterable fields
No skill demand heatmaps Role/skill-level demand trends by city

“Thanks to Actowiz, we now power our talent dashboards with real-time hiring data from three of the biggest job portals in the world.”

Use Cases Enabled by Job Data Scraping

The-Client
Talent Intelligence Platforms

Offer data-backed insights to HR teams on:

  • Where to hire
  • What to pay
  • What skills are in demand
EdTech / Reskilling Startups

Align courses to real-time demand (e.g., Python or Salesforce demand spikes)

Recruitment Process Outsourcing (RPO)

Benchmark hiring demand by function, industry, or region

HR Strategy & Consulting

Map competitor hiring behavior over time

Government / Labor Policy

Use hiring trend monitoring to guide job readiness programs

Country-Specific Insights Unlocked

Actowiz enabled localized tracking across:

  • 🇮🇳 India (Naukri + Indeed India)
  • 🇺🇸 USA (Indeed + Monster)
  • 🇦🇪 UAE (Indeed Gulf + Monster Gulf)
  • 🇸🇬 Singapore (Indeed.sg + Monster.sg)
  • 🇬🇧 UK (Indeed UK)

For each country, jobs were tagged with:

  • Currency standardization (e.g., ₹, AED, USD, SGD)
  • Region & industry mapping
  • Remote/hybrid tagging based on description parsing

Compliance & Best Practices

Actowiz ensured ethical scraping via:

  • Rate-limited scraping with proxy rotation
  • Captcha solving via AI models or manual review
  • No user or recruiter login data used
  • Publicly accessible job listings only
  • GDPR and CCPA-compliant structuring

Data was strictly used for internal dashboards & business intelligence—not for reposting job listings.

What’s Next?

Actowiz is now developing enhancements such as:

  • AI-based salary prediction models
  • Geo-specific skill gap analysis (e.g., which cities lack Java developers)
  • ML-based talent supply forecasting
  • Resume parsing + job description match scoring

Conclusion

In a job market driven by data, it’s no longer enough to react—you need to predict.

By automating job post scraping from Naukri, Monster, and Indeed, Actowiz Solutions empowers companies, platforms, and governments to unlock real-time hiring analytics and skill-demand visibility across roles, regions, and industries.

Whether you’re building a hiring dashboard, planning L&D investments, or launching a reskilling course—start with the data.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

Industry:

Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

✓ Daily voucher & cashback tracking via Push & Pull APIs

View Case Studies

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

View Case Studies

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

View Case Studies

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

View Case Studies

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

View Case Studies

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

View Case Studies

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

View Case Studies

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

View Case Studies

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Request Demo Access icon

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

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Amazon Action Figure Market Analysis: Sales Trends, Pricing Strategy & Competitive Landscape

Amazon Action Figure Market Analysis covering sales trends, pricing, and competitive insights for data-driven growth.
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Mattel Amazon Catalog Analysis: SKU Performance, Pricing Trends & Digital Shelf Insights

Mattel Amazon Catalog Analysis covering SKU performance, pricing trends, ratings, and digital shelf insights for growth.
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EV Charging Stations vs Gas Stations Analysis in the US - Geographic Coverage, Policy Impact, and Competitive Landscape Insights

In-depth analysis comparing EV charging stations and gas stations in the US, covering coverage, policies, competition, and future growth trends.
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