GasBuddy Fuel Prices Scraper

Track current station-level fuel prices from GasBuddy by ZIP code, city, or coordinates. Export cash and credit prices, reporting times, station details, addresses, ratings, and canonical GasBuddy links as structured data.

Use the scraper for recurring local price monitoring, fleet fueling analysis, competitive intelligence, and location-based fuel applications. No GasBuddy login or private API key is required.

What does GasBuddy Fuel Prices Scraper do?

The Actor turns public GasBuddy station searches into a clean Apify dataset.

• ⛽ Search by ZIP/postal code or city
• 🗺️ Search exact latitude and longitude centers
• 💵 Capture cash and credit prices separately
• 🕒 Filter prices by reporting age
• 🏷️ Keep only selected station brands
• 📍 Export normalized station and address fields
• 🔁 Combine multiple locations and remove duplicates
• 📦 Download JSON, CSV, Excel, XML, or RSS

Each row represents one station and the selected fuel grade.

Who is it for?

Fleet and logistics teams

Compare nearby fueling options around depots, delivery zones, and operating corridors.

Fuel retailers and analysts

Monitor local competitors, compare cash-credit spreads, and build recurring market snapshots.

App and data teams

Feed current station-price records into dashboards, maps, alerts, and internal APIs.

Researchers and consumers

Collect reproducible local fuel observations without manually copying GasBuddy search pages.

Why use this GasBuddy scraper?

Manual GasBuddy searches are useful for one location at a time. This Actor makes the workflow repeatable and exportable.

• Run several local searches in one job
• Schedule hourly or daily monitoring
• Preserve posted timestamps for freshness analysis
• Integrate through the Apify API, webhooks, or MCP
• Deduplicate overlapping searches automatically
• Pay only for run setup and records saved

What GasBuddy data can you extract?

Field	Description
stationId	Stable GasBuddy station identifier
stationName	Displayed station name
brand	Station brand when available
fuelGrade	Selected normalized fuel key
fuelName	Human-readable fuel name
cashPrice	Reported cash price
creditPrice	Reported credit price
cashPostedAt	Cash-price report timestamp
creditPostedAt	Credit-price report timestamp
addressLine1	Street address
city, state	Locality and region
postalCode, country	Postal and country fields when available
rating	GasBuddy star rating
ratingsCount	Number of station ratings
stationUrl	Canonical GasBuddy station URL
sourceQuery	Input location that produced the row
scrapedAt	UTC extraction timestamp

Optional values remain null rather than being invented.

Supported fuel grades

Choose one grade per run:

• Regular gas
• Mid-grade gas
• Premium gas
• Diesel
• E85
• Unleaded 88

Run separate scheduled tasks when you need independent datasets for several grades.

How to scrape GasBuddy fuel prices

1. Open the Actor input page.
2. Add one or more ZIP codes or city/state searches.
3. Optionally add latitude/longitude centers.
4. Select a fuel grade.
5. Set a small result limit for your first run.
6. Optionally set freshness and brand filters.
7. Click Start.
8. Open the dataset to preview or export the records.

A first test with ZIP 11507 and three results normally finishes within a few minutes.

Input

Example search input:

{
  "searchQueries": ["11507", "Boston, MA"],
  "fuelGrade": "regular_gas",
  "maxResults": 10,
  "maxPriceAgeHours": 24,
  "brands": [],
  "proxyTier": "AUTO"
}

Coordinate input:

{
  "coordinates": [
    {
      "latitude": 40.741,
      "longitude": -73.998,
      "label": "Manhattan route stop"
    }
  ],
  "fuelGrade": "diesel",
  "maxResults": 20
}

At least one text search or coordinate pair is required.

Input options explained

ZIP codes or cities

searchQueries accepts multiple strings such as 11507, Toronto, ON, or Austin, TX.

Coordinates

coordinates accepts valid WGS-84 latitude and longitude pairs. A custom label is returned in sourceQuery.

Maximum stations

maxResults applies per input location and accepts 1–500. Start small before increasing coverage.

Maximum price age

maxPriceAgeHours is applied separately to cash and credit reports. Set 0 to accept any reported age.

Brand filters

brands uses case-insensitive partial matching. Shell keeps names containing Shell; unmatched rows are excluded.

Proxy strategy

AUTO is recommended. It rotates anonymous residential browser sessions when GasBuddy challenges a request.

Output example

{
  "stationId": "56437",
  "stationName": "Sunoco",
  "brand": "Sunoco",
  "fuelGrade": "regular_gas",
  "fuelName": "Regular",
  "cashPrice": 3.83,
  "creditPrice": 3.93,
  "cashPostedAt": "2026-07-17T10:21:36.286Z",
  "creditPostedAt": "2026-07-17T10:21:36.301Z",
  "addressLine1": "993 Willis Ave",
  "city": "Albertson",
  "state": "NY",
  "ratingsCount": 46,
  "stationUrl": "https://www.gasbuddy.com/station/56437",
  "sourceQuery": "11507",
  "scrapedAt": "2026-07-18T00:00:00.000Z"
}

Prices and timestamps change over time. The example illustrates the output shape, not a guaranteed current price.

How freshness filtering works

GasBuddy prices are community reported. A station may have a fresh credit price and an older cash price.

With maxPriceAgeHours: 24:

• A qualifying cash value is retained
• A qualifying credit value is retained
• A stale side becomes null
• The station is omitted when neither side qualifies

This fail-closed behavior prevents stale values from silently passing the filter.

Brand filtering and deduplication

Brand filters are optional. When provided, a station must match at least one value.

Overlapping location searches can return the same station. The Actor emits each station and selected fuel-grade combination once per run, using the station ID as the stable key.

How much does it cost to scrape GasBuddy fuel prices?

The Actor uses pay-per-event pricing:

• A small one-time charge covers run and browser setup
• A result event is charged for each station record saved
• Subscription tiers receive automatic per-result discounts

You can see the exact current rate before starting a run. A three-record smoke test is intentionally inexpensive. Residential proxy and browser compute are handled by the Actor rather than billed as a separate setup step in your workflow.

Scheduling a fuel price monitor

Create an Apify schedule for recurring snapshots:

1. Save a task with stable locations and one fuel grade.
2. Run it hourly, daily, or weekly.
3. Use a webhook when the run succeeds.
4. Send the dataset to your database or automation tool.
5. Compare current values with the previous snapshot.

Keep posted timestamps in your downstream model so unchanged community reports are not mistaken for newly observed prices.

Integrations

Google Sheets

Use the Google Sheets integration to refresh a local competitor-price workbook.

Make and Zapier

Trigger a workflow after each run, filter for price changes, and notify operations teams.

Webhooks

Send run-completion events to your own service, then fetch the dataset through the API.

Snowflake, BigQuery, and databases

Export or stream normalized records into a warehouse for time-series and geographic analysis.

Slack and email alerts

Compare a result against a target threshold and send a message when a nearby price changes.

Use with the Apify API

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/gasbuddy-fuel-prices-scraper').call({
    searchQueries: ['11507'],
    fuelGrade: 'regular_gas',
    maxResults: 5,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("automation-lab/gasbuddy-fuel-prices-scraper").call(run_input={
    "searchQueries": ["11507"],
    "fuelGrade": "regular_gas",
    "maxResults": 5,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

cURL

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~gasbuddy-fuel-prices-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["11507"],"fuelGrade":"regular_gas","maxResults":5}'

Use with Apify MCP

Connect the Actor to AI assistants through Apify MCP:

https://mcp.apify.com?tools=automation-lab/gasbuddy-fuel-prices-scraper

Claude Code setup

$claude mcp add --transport http apify-gasbuddy "https://mcp.apify.com?tools=automation-lab/gasbuddy-fuel-prices-scraper"

Claude Desktop, Cursor, and VS Code setup

Add this server to the MCP configuration used by Claude Desktop, Cursor, or VS Code:

{
  "mcpServers": {
    "apify-gasbuddy": {
      "url": "https://mcp.apify.com?tools=automation-lab/gasbuddy-fuel-prices-scraper"
    }
  }
}

Restart the client after saving the configuration.

Example prompts:

• “Find current regular cash and credit prices near ZIP 11507.”
• “Collect diesel prices around these depot coordinates and return CSV-ready rows.”
• “Compare Shell and BP prices reported in the past 24 hours around Boston.”

Use the same tool URL in Claude Code, Claude Desktop, or another MCP-compatible client.

Tips for reliable runs

• Begin with one location and 3–5 results
• Use AUTO proxy strategy unless troubleshooting
• Avoid overlapping locations when duplicates are not useful
• Use posted timestamps for data-quality rules
• Schedule moderate intervals instead of repeatedly polling
• Run separate tasks for different fuel grades
• Keep brand filters broad enough to match displayed station names

Troubleshooting

Why did the run return no records?

The source may have no positive price for the selected grade, freshness may be too strict, or a brand filter may exclude every station. Retry with maxPriceAgeHours: 0 and no brands.

Why is one price null?

Cash and credit reports are independent. GasBuddy may expose only one payment type, or one side may fail your freshness filter.

Why did a location fail while another succeeded?

Each location is processed independently. GasBuddy can temporarily challenge a browser session. Successful locations are preserved, while a complete extraction failure exits non-zero.

Why are fewer rows returned than maxResults?

The limit is a ceiling, not a promise. Stations without a positive selected-fuel price, stale stations, brand mismatches, and duplicates are omitted.

Data quality and limitations

GasBuddy relies on public community reports. Prices can change between a report and a visit, and some stations omit a cash or credit value. Coverage varies by location and fuel grade.

The Actor reports source values and timestamps without claiming that a price is guaranteed at the pump. Validate critical purchasing decisions with the station.

Is it legal to scrape GasBuddy?

This Actor accesses public station-search information without logging into a user account. Your use must comply with applicable laws, GasBuddy terms, and privacy obligations.

Do not use the output for harassment, deception, discriminatory decisions, or unlawful profiling. Collect only the volume needed for your legitimate workflow and respect source capacity.

Related scrapers

Combine local station prices with other public energy or commerce data from the automation-lab Actor portfolio:

• Use country-level fuel market data when station detail is unnecessary
• Use mapping and business-directory Actors for broader location enrichment
• Use monitoring workflows to compare scheduled snapshots

Choose this Actor when the required unit is an individual GasBuddy station with current cash or credit prices.

FAQ

Does it require a GasBuddy account?

No. It uses anonymous public station-search surfaces.

Can it return several locations?

Yes. Add multiple search strings, coordinates, or both.

Can it monitor both regular and diesel in one row?

One run selects one fuel grade. Create separate tasks when independent grade datasets are needed.

Does it support Canada?

GasBuddy public city, postal-code, and coordinate searches can cover supported US and Canadian locations. Availability depends on the source.

Are duplicate stations charged twice?

Overlapping searches are deduplicated by station ID and selected fuel grade before output.

Can I export to CSV or Excel?

Yes. Use the dataset export controls or API format parameters.

Is there a hard result guarantee?

No. maxResults is a maximum. The source and your filters determine the natural record count.

Start with a small search

Use the prefilled ZIP and a five-station limit to validate the output. Then add production locations, freshness rules, schedules, and integrations after confirming the fields fit your workflow.