Dataset

indeed-job-postings-2026

Jobs & Workforce Download 1 source

Indeed Job Postings (2026) is a 1,000-row sample of US Indeed listings joined to company firmographics, published by fact-den on Apify. License terms are not stated, and the publisher directs users to a commercial source actor for fresh or filtered data.

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What this dataset contains

The release holds 1,536 train rows of Indeed job postings paired with employer profiles for 536 unique companies. Each posting carries parsed salary ranges, full descriptions, location, and a companyKey linking it to firmographic fields such as rating, reviewCount, industry, revenue, employees, ceo, founded, website, facebook, twitter, and instagram. The publisher describes the file as a research sample and notes that broader coverage, including 60+ countries and a native salary-range filter, requires running the upstream Indeed Jobs Scraper actor.

Structure and fields

Data is delivered as CSV with list columns (jobType, benefits, occupations) pipe-delimited, and the documentation indicates the same records are available as JSONL arrays. The shared key between tables is companyKey, which attaches a posting to its company's rating, revenue, employees, ceo, founded, website, and social handles, while job-level fields such as description and location live on the postings table. Format and library tags indicate a tabular/text modality suitable for pandas.

How analysts use it

Workforce and equity researchers can explore posting volume, salary bands, and employer firmographics as a proxy for hiring intensity, wage trends, and company-level labour-market positioning. Because the companyKey join enriches each listing with revenue, employee counts, and CEO tenure, the sample also supports firm-level panel construction for private-market signals. The publisher cautions that the file is a small sample, scraping-derived, and intended for research and evaluation rather than redistribution.

Documentation & references 1
  1. fact-den/indeed-job-postings-2026: listing on Hugging Face

Further reading

All guides
  • What is alternative data?Alternative data in investment research: what the term covers, how it differs from data format, and why provenance, timing, access and validation matter.
  • Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
  • Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.
  • Alternative data for investingHow funds turn alternative data into an investment edge: signal families, evaluation, backtesting, compliance and the build-vs-buy decision, mapped to the datasets and providers indexed on this encyclopedia.
  • Job market data: datasets and providersThe datasets and providers behind labor-market signals: job postings, payroll, employee profiles and job-change data, what each source measures, its caveats and how to choose one.

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