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EIA Energy Data Scraper

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EIA Energy Data Scraper

EIA Energy Data Scraper

Scrape US energy prices from the Energy Information Administration. Get weekly crude oil spot prices, gasoline prices by state, and diesel prices by region. Includes current, historical, and year-over-year price comparisons.

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โšก EIA Energy Data Scraper

๐Ÿš€ Scrape US energy prices from the Energy Information Administration. Get weekly crude oil spot prices, gasoline prices by state, and diesel prices by region. Includes current, historical, and year-over-year price comparisons.

๐Ÿ•’ Last updated: 2026-04-23

Whether you're tracking fuel costs for a logistics fleet, monitoring crude oil trends for investment decisions, or analyzing regional energy prices for market research, this tool makes it easy to collect structured energy data from the U.S. Energy Information Administration.

The EIA Energy Data Scraper collects gas prices by state, diesel prices by region, and weekly crude oil prices. Get current prices, historical trends, and week-over-week changes in structured format ready for analysis.

Target AudienceLogistics companies, investment firms, gas station operators, manufacturers, policy analysts
Primary Use CasesFuel price monitoring, commodity tracking, cost forecasting, market analysis

๐Ÿ“‹ What Does It Do

This tool collects energy price data from the EIA, supporting three datasets. It delivers:

  • โ›ฝ Gas prices by state - current regular gasoline prices for every U.S. state with weekly price comparisons
  • ๐Ÿš› Diesel prices by region - diesel fuel prices across U.S. regions with historical price changes
  • ๐Ÿ›ข๏ธ Crude oil weekly prices - WTI crude oil spot prices with full weekly historical data
  • ๐Ÿ“ˆ Price change tracking - changes from last week, one year ago, and two years ago
  • ๐Ÿ“Š All regions covered - data spans all U.S. states, PADD regions, and national averages

๐ŸŽฌ How to Use the EIA Energy Data Scraper - Full Demo

๐Ÿšง Demo video coming soon


โš™๏ธ Input

To start collecting energy price data, simply fill in the input form:

FieldTypeDescription
DatasetSelectChoose: Gas Prices by State, Diesel Prices by Region, or Crude Oil Weekly Prices.
Max ItemsIntegerFree users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000.

Example 1: Get gas prices by state

{
"dataset": "gas-prices-by-state",
"maxItems": 50
}

Example 2: Get crude oil weekly prices

{
"dataset": "crude-oil-weekly",
"maxItems": 200
}

โš ๏ธ Free users are limited to 10 items per run. Sign up for a paid plan to collect up to 1,000,000 items.


๐Ÿ“Š Output

After the Actor finishes its run, you'll get a dataset with the output. You can download results as Excel, HTML, XML, JSON, or CSV.

๐Ÿงพ Output Schema

FieldTypeDescription
locationStringState or region name
currentPriceStringCurrent price per gallon
priceNumericNumberPrice as a number for calculations
previousWeekPriceNumberPrice from the previous week
twoWeeksAgoPriceNumberPrice from two weeks ago
changeFromYearAgoNumberPrice change compared to one year ago
changeFromTwoYearsAgoNumberPrice change compared to two years ago
changeFromLastWeekNumberWeek-over-week price change
dateStringDate of the price data
fuelTypeStringType of fuel (Regular Gasoline or Diesel)
scrapedAtStringTimestamp of data collection

๐Ÿ“ฆ Sample Output

Sample 1 (Gas Price):

{
"location": "California",
"currentPrice": "4.589",
"priceNumeric": 4.589,
"previousWeekPrice": 4.601,
"twoWeeksAgoPrice": 4.618,
"changeFromTwoYearsAgo": -0.339,
"changeFromYearAgo": -0.291,
"changeFromLastWeek": -0.012,
"date": "04/07/2026",
"fuelType": "Regular Gasoline",
"scrapedAt": "2026-04-09T12:00:00.000Z"
}

Sample 2 (Diesel Price):

{
"location": "East Coast (PADD 1)",
"currentPrice": "3.812",
"priceNumeric": 3.812,
"previousWeekPrice": 3.825,
"changeFromYearAgo": -0.198,
"changeFromLastWeek": -0.013,
"date": "04/07/2026",
"fuelType": "Diesel",
"scrapedAt": "2026-04-09T12:00:00.000Z"
}

Sample 3 (Crude Oil):

{
"date": "2026-04-04",
"price": 67.45,
"commodity": "WTI Crude Oil",
"unit": "$/barrel",
"scrapedAt": "2026-04-09T12:00:00.000Z"
}

โœจ Why Choose the EIA Energy Data Scraper?

BenefitDescription
โšก Batch collectionGet all state or regional prices in one run
๐Ÿ“Š Three datasetsGas, diesel, and crude oil in a single tool
๐Ÿ“ˆ Price change trackingWeek, year, and 2-year comparisons included
๐Ÿ“ Structured outputExport to JSON, CSV, or Excel
๐Ÿ”„ Automated schedulingSet up weekly monitoring
๐Ÿ›ข๏ธ Historical crude dataFull weekly history available
๐ŸŽฏ No coding requiredPoint-and-click interface

๐Ÿ“ˆ How Does It Compare?

FeatureOur ToolManual EIA Website
Batch collectionโœ… Up to 1M recordsโŒ View one table at a time
Multiple datasetsโœ… Gas, diesel, crude oilโŒ Navigate each separately
Price change trackingโœ… Week, year, 2-year changesโš ๏ธ Calculate manually
Structured outputโœ… JSON, CSV, ExcelโŒ HTML tables only
Automated schedulingโœ… Weekly monitoringโŒ Manual visits

๐Ÿš€ How to Use

  1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
  2. Find the Scraper - Search for "EIA Energy Data Scraper" in the Apify Store
  3. Set Input - Select the energy dataset you want to collect
  4. Run It - Click "Start" and let it collect your data
  5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

Total Time: Results in seconds No Technical Skills Required: Everything is point-and-click


๐Ÿ’ผ Business Use Cases

Logistics and Manufacturing:

  • Monitor fuel prices across states to optimize routing and forecast transportation costs
  • Forecast energy input costs by tracking diesel and crude oil price movements
  • Compare pricing against state and regional averages

Investment and Policy:

  • Track crude oil price trends for commodity trading and energy sector analysis
  • Analyze regional fuel price disparities and seasonal pricing patterns
  • Study energy price trends for economic impact assessments


โœจ Why choose this Actor

Capability
๐ŸŽฏBuilt for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
๐Ÿ”–Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
โšกFast. Optimized request patterns return results in seconds, not minutes.
๐Ÿ”Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
๐ŸŒNo infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
๐Ÿ›ก๏ธReliable. Battle-tested across many runs and edge cases, with graceful error handling.
๐ŸšซNo code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

๐Ÿ“Š Production-grade structured data without the engineering overhead of building and maintaining your own scraper.


๐Ÿ“ˆ How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
โญ EIA Energy Data Scraper (this Actor)$5 free credit, then pay-per-useFull source coverageLive per runSource-native filters supportedโšก 2 min
Build your own scraperEngineering hoursFull once builtWhenever you maintain itCustom code๐Ÿข Days to weeks
Paid managed APIs$$$ monthlyVendor-definedLiveVendor-definedโณ Hours
Third-party data dumpsVariesSubset, often stalePeriodicNone๐Ÿ•’ Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.


๐Ÿš€ How to use

  1. ๐Ÿ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. ๐ŸŒ Open the Actor. Go to the EIA Energy Data Scraper page on the Apify Store.
  3. ๐ŸŽฏ Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
  4. ๐Ÿš€ Run it. Click Start and let the Actor collect your data.
  5. ๐Ÿ“ฅ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

โฑ๏ธ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


๐Ÿ’ผ Business use cases

๐Ÿ“Š Data & Analytics

  • Build trend reports and dashboards from live source data
  • Feed BI tools, warehouses, and ML pipelines with structured records
  • Run periodic snapshots to track changes over time
  • Compare segments, regions, or categories with consistent fields

๐Ÿข Operations & Strategy

  • Monitor competitor moves, pricing, and inventory shifts
  • Build internal directories and lookup tools backed by current data
  • Power workflows that depend on fresh source records
  • Cut manual data-gathering time from hours to minutes

๐ŸŽฏ Marketing & Growth

  • Identify market opportunities and trending topics
  • Research target audiences and customer personas at scale
  • Power lead-generation pipelines with verified records
  • Track sentiment, reviews, or social signals over time

๐Ÿ› ๏ธ Engineering & Product

  • Prototype features that need real-world data without owning a crawler
  • Replace fragile in-house scrapers with a managed Actor
  • Wire datasets into your apps via the Apify API or webhooks
  • Skip the proxy, retry, and parsing maintenance entirely

๐ŸŒŸ Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

๐ŸŽ“ Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

๐ŸŽจ Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

๐Ÿค Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

๐Ÿงช Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

๐Ÿค– Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

๐Ÿ’ฐ How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test EIA Energy Data Scraper and pull a real sample dataset. For ongoing usage:

  • Starter plan ($49/month) โ€” Recommended for individuals running EIA Energy Data Scraper regularly. Includes higher concurrency and larger datasets.
  • Scale plan ($499/month) โ€” Recommended for teams running EIA Energy Data Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

๐Ÿ’ก Tips for using EIA Energy Data Scraper

  • Start with a small maxItems (3-10) to validate output format before running larger jobs.
  • Use Apify Schedules to run EIA Energy Data Scraper on a recurring basis and keep your dataset fresh.
  • Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks โ€” pipe your data anywhere.
  • Monitor with webhooks: trigger downstream workflows the moment a run finishes.
  • Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

Yes. EIA Energy Data Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

  • Respecting the source website's Terms of Service.
  • Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
  • Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

โ“ Frequently Asked Questions

๐Ÿ”Œ Automating Your Workflows

For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API.

  • Node.js: Install the apify-client NPM package
  • Python: Use the apify-client PyPI package
  • See the Apify API reference for full details

๐Ÿ”Œ Integrate EIA Energy Data Scraper with any app

Last but not least, EIA Energy Data Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

  • Make - Automate energy price monitoring workflows
  • Zapier - Get alerts when fuel prices change significantly
  • Slack - Get notified in your team channel
  • Airbyte - Build data pipelines
  • GitHub - Version control integration
  • Google Drive - Export energy data to spreadsheets

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever EIA Energy Data Scraper successfully finishes a run.


๐Ÿ”Œ Integrate with any app

EIA Energy Data Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe results into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.


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Pro Tip: ๐Ÿ’ก Browse our complete collection of data collection actors to find the perfect tool for your business needs.


๐Ÿ†˜ Need Help?


โš ๏ธ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the U.S. Energy Information Administration (EIA), the U.S. Department of Energy, or any government agency. All trademarks mentioned are the property of their respective owners.