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    Historical Job Postings for India (IN)

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    Sold by: Techmap 
    Deployed on AWS
    Historical archive of job postings for India (IN) with company, location, dates and salary where available: 17.1M job postings since 2020 (as of Sept. 2026), on average 579K new postings a month (as of mid 2026).

    Overview

    Fast Facts

    • Scope: All job postings we found for India
    • Snapshot range: 2020-01-01 through your subscription date
    • Job postings: 17.1M job postings (as of Sept. 2026), on average 579K new job postings per month (as of mid 2026)
    • Format: JSON Lines (gzip) via Amazon S3
    • Access: One-time purchase, 1-month download window, no renewal

    About

    This job postings dataset is a historical archive for India (IN). With a population of 1.4B, India has a GDP per capita of $2.3K USD. It contains all job postings we found from January 2020 through the date you subscribe, including title, company, location, dates, and salary where available - 17.1M job postings (as of Sept. 2026), on average 579K new job postings per month (as of mid 2026).

    Once delivered, the archive is fixed: it won't include postings dated after your subscription date, and it isn't refreshed or extended afterward. If you need ongoing daily updates, subscribe to our 3-month data feed for India instead.

    Job postings are provided as gzip-compressed JSON Lines files named techmap_jobs_in_YYYY-MM-DD.jsonl.gz, one file per day and one posting per JSON line. Need CSV, XML, RSS, Atom or Parquet instead? Our conversion guide  has ready-to-use code in JavaScript, Python, Java and bash.

    Monthly job-count statistics and the full time series are available in our Data Explorer: https://jobdatafeeds.com/data/countries/in 

    Use Cases

    Job postings are public job offerings - the roles, skills, locations and salaries companies hire for. That makes them an early business signal:

    • Sales Intelligence - companies posting job offerings for roles your product supports are warm leads.
    • Competitive Intelligence - your competitors' job offerings show which roles, skills and locations they invest in - new products, expansions or cutbacks before they are announced.
    • Market Intelligence - measure hiring demand by industry, region or skill to spot trends early.
    • Recruitment Intelligence - benchmark salaries, required skills and talent demand.
    • Historical Benchmarking - measure how hiring evolved over time, train or backtest models, or set a baseline before starting an ongoing feed.

    For more use cases, see our use-case overview: https://jobdatafeeds.com/#use-cases 

    Metadata

    • Data format: JSON Lines (gzip)
    • Geographic coverage: India (one country)
    • Historical coverage: January 1, 2020 through your subscription date - fixed at signup, not extended afterward
    • Update frequency: None after signup - this is a historical archive
    • Delivery: Amazon S3 data access (AWS Data Exchange), delivered once
    • File size: ~50 MB (gzip) per file on average, up to ~1 GB in rare cases

    Pricing Information

    A single one-time purchase with a 1-month download window (no renewal). You receive the complete historical archive from January 1, 2020 up to your subscription date, delivered once. The data is licensed for the subscriber's own internal use and may not be resold.

    Additional Information

    For bundles (e.g., Global, EU, DACH, APAC, ASEAN, MERCOSUR or language spheres) or countries not yet listed on AWS Data Exchange, visit jobdatafeeds.com  or contact data@techmap.io . We can add datasets or data feeds for other countries and bundles within a few days.

    Data excerpts / Data samples

    Test our free Luxembourg dataset and data feed on AWS Data Exchange , or browse our Job Data Overview  for sample records and schema documentation. See the full monthly time series for India at jobdatafeeds.com/data/countries/in .

    More Questions?

    If you have questions about our data products, please contact data@techmap.io .

    About Us

    Techmap developed and operates Techmap.io , a global workplace search engine that crawls the web daily and collects millions of international job postings to analyze technology adoption in companies. See jobdatafeeds.com  for details.

    Highlights

    • All job postings we found for India from January 2020 through your subscription date: 17.1M job postings (as of Sept. 2026), on average 579K new job postings per month (as of mid 2026).
    • One gzipped JSON Lines file per day for the archive period (techmap_jobs_in_YYYY-MM-DD.jsonl.gz), delivered once via Amazon S3 - ready for ETL.
    • Aggregated from 195+ job boards, ATS platforms and aggregators. Need ongoing updates? See our 3-month data feed for India.

    Details

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    Pricing

    Historical Job Postings for India (IN)

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Product Access
    Dimension that grants access to the product for subscribers.
    $999.00

    AI Insights

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    Dimensions summary

    This listing gives you a historical job posting dataset for India as a one-time purchase. Pricing uses a single dimension, Product Access (Units), which grants you access to the data once you subscribe. The dataset covers every daily file for India from January 2020 to the present, delivered as compressed JSON Lines files. Billing runs through your AWS account via AWS Data Exchange, so there is no separate vendor contract. Because this is one dataset for one country, pricing does not scale by volume or add-ons; you receive all postings collected for India.

    Top-of-mind questions for buyers

    You receive every daily job posting file for India from January 2020 to the present. Files arrive as gzip-compressed JSON Lines, one file per day, with one job posting per line. The dataset includes all postings collected for the country, not a filtered subset.
    This is a one-time purchase, not a recurring subscription. You pay once for the full India archive. Cost does not scale with posting volume, usage, or add-ons. There is no limit on the number of postings you receive for the country.
    The dataset always includes all postings for India. You cannot buy a filtered subset. Apply your own filters in your pipeline using fields such as industry, occupation, company, or source portal after you receive the files.
    jobdatafeeds.com+1
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    Vendor refund policy

    We do not offer refunds. Please make yourself accustomed to our data by checking our data samples (e.g., https://jobdatafeeds.com/job-data-overview ) before subscribing. Or test our free dataset for Luxembourg (LU) here on AWS Data Exchange (https://aws.amazon.com/marketplace/pp/prodview-p2554p3tczbes ).

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Historical Job Postings for India (IN)
    All historical revisions
    All future revisions
    Not included
    Not included

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