SAMPLE Indeed Data | US Job Postings, Company Profiles & Employee Reviews | Enriched Indeed Data ...

Indeed is the largest job board in the US. But raw Indeed data has three problems: duplicate postings inflate counts by 2-3x, 60-70% of listings don't show salary, and there's no clean way to connect a job posting to a verified company.

Our Indeed Data pipeline processes job postings, company profiles, and employee reviews from Indeed through five ML models, delivering a clean, enriched, company-matched dataset. The team includes engineers from leading tech companies, with every model output validated by our internal annotation team.

What This Indeed Data Covers

This Indeed Data product combines three datasets matched at the company level.

Indeed Data Job Postings:

• Job title (raw and normalized from 50,000+ standardized categories)
• Company name and location (city, state, ZIP)
• Salary (parsed from posting and AI-predicted for listings without pay)
• Skills: hard skills, soft skills, certifications, qualifications
• Seniority, work type (remote/hybrid/onsite), employment type
• Posting date, scrape date, source URL
Indeed Data Company Profiles:

• Company name, industry, size, and employee count
• Headquarters and branch locations
• Indeed company profile URL, specialties, and business description
• Company type, location coordinates, address, phone, and website
Indeed Data Employee Reviews:

• Overall company rating (1-5 stars)
• Sub-ratings: work-life balance, pay and benefits, job security, management, culture
• Review title, pros text, cons text (full content)
• Reviewer job title, location, employment status (current or former employee)
All three sides of this Indeed Data feed connect to the same company profiles, letting you correlate hiring activity, firmographics, and sentiment in one dataset.

What You Can Do With This Indeed Data

Talent Acquisition and HR Analytics

HR teams use Indeed Data job postings to track who's hiring, what skills they need, and what they're paying. Indeed Data employee reviews and company profiles add culture scores, management ratings, and firmographic context to every hiring signal.

• Track hiring trends by company, role, and region with Indeed Data job postings
• Benchmark salaries using AI-predicted pay ranges from Indeed Data listings
• Monitor competitor hiring velocity and skill demand via Indeed Data signals
• Use Indeed Data reviews to track employer reputation in your recruiting market
• Identify company size and growth stage through Indeed Data company profiles
Business Development and CRM Enrichment

Sales teams use Indeed Data hiring signals to find companies in growth mode. A spike in job postings means new budget, expansion, or a strategic shift. Each signal connects to a verified company profile you can act on.

• Score accounts by hiring momentum using Indeed Data posting activity
• Enrich CRM platforms with Indeed Data hiring, firmographic, and sentiment data
• Build outreach cohorts based on Indeed Data hiring patterns and review trends
• Prioritize leads using Indeed Data employer signals and company metadata
Employer Brand and Sentiment Analysis

Indeed Data employee reviews give you structured sentiment data across thousands of US employers. Culture scores, management ratings, and work-life balance data are all parsed from actual employee submissions and matched to verified company profiles.

• Compare employer sentiment across competitors using Indeed Data review data
• Monitor shifts in employee satisfaction through Indeed Data review trends
• Use Indeed Data review signals for due diligence and portfolio monitoring
• Identify retention risk patterns from Indeed Data reviews by company and role
Labor Market Research and Workforce Strategy

Researchers and analysts use Indeed Data to study hiring trends, wage dynamics, and skills demand at scale. All three datasets in one Indeed Data feed means no joining of separate sources.

• Analyze hiring demand by industry, region, and occupation with Indeed Data
• Correlate hiring and salary trends with employee sentiment from Indeed Data
• Build predictive workforce models powered by AI-enriched Indeed Data job postings
• Support site selection, skills gap analysis, and planning using Indeed Data signals
Investment and Alternative Data

Investors use Indeed Data as a leading indicator before earnings reports. Hiring velocity, skill shifts, and review scores carry signals traditional financial data misses, making Indeed Data a useful alternative data source for due diligence and portfolio work.

• Use Indeed Data hiring trends to assess portfolio company momentum
• Track employee sentiment through Indeed Data review scores over time
• Monitor skill demand shifts in Indeed Data to detect strategic pivots before announcements How We Build This Indeed Data
Our deduplication model identifies when the same job appears on Indeed and elsewhere using semantic matching on title, company, and description. Roughly 60% of raw records collapse into unique entries, so Indeed Data reflects true hiring intent.

The title taxonomy model maps raw Indeed Data job titles into 50,000+ standardized categories, making Indeed Data usable for cross-company analysis without manual cleanup.

About 60-70% of Indeed Data job postings don't show salary. Our salary estimation model fills predicted ranges trained on 50M+ observations with a MAPE under 15%.

Skills extraction pulls 37,000+ distinct hard skills, 3,000+ certifications, and 400+ soft skills from Indeed Data job descriptions using contextual AI filtering.

For Indeed Data employee reviews, all six rating dimensions are parsed, with reviewer job titles, locations, and employment status matched to verified company profiles.

Our annotation team validates every Indeed Data model output before delivery.

What Makes This Indeed Data Different

• Three datasets in one: Indeed Data job postings, company profiles, and employee reviews matched at the company level
• Deduplication: roughly 60% of raw Indeed Data postings collapse into unique records showing actual hiring intent
• Salary coverage: AI predictions fill gaps for the 60-70% of Indeed Data listings without pay data, with MAPE under 15%
• Company matching: every Indeed Data record links to a verified company profile with firmographics and location data
• Review depth: full Indeed Data review text with six rating dimensions, reviewer job titles, and employment status
Who Uses This Indeed Data

• HR and Talent Acquisition Teams track competitor hiring, benchmark salaries, and use Indeed Data employee reviews to monitor employer reputation
• Business Development and Sales Teams use Indeed Data hiring signals to enrich CRM records and reach companies in growth mode
• Investors, PE Firms, and VC Funds use Indeed Data hiring velocity and review scores as alternative data for due diligence and portfolio monitoring
• Staffing and Recruiting Agencies use Indeed Data to advise clients on wages, talent availability, and employer reputation
• Site Selection Consultants and EDOs use Indeed Data to quantify labor availability and support business attraction pitches
• Workforce Planners and Labor Market Analysts use Indeed Data for forecasting models more current than government surveys
• Manufacturing and Corporate HR Teams use Indeed Data to evaluate labor markets for expansion and benchmark compensation
• Consultants, Researchers, and Government Agencies use Indeed Data for workforce policy analysis and labor market studies
• HR Tech Companies and B2B Platforms use Indeed Data to power salary tools, employer dashboards, and talent intelligence products
Delivery and Format

Indeed Data is delivered in CSV, JSON, or Parquet via AWS S3 or Google Cloud Storage. Custom filters by company, geography, date range, skill, seniority, salary range, review rating, and employment status. Compatible with Snowflake, Databricks, Power BI, Tableau, Salesforce, and most BI platforms.