Fuel price changes at every service station, Queensland, latest month
liveFuel prices reported by Queensland service stations under the state's fuel price reporting scheme, one row per price change, for the newest month Queensland Treasury has published. Each row has the station id, name, brand, address, suburb, state, postcode, latitude and longitude, the fuel type, the price in tenths of a cent per litre and the reporting time in UTC. The scheme also has a live API, which needs a key and is not used here.
Also called: QLD fuel price reporting data, Queensland petrol prices history, Fuel Prices Qld data, Brisbane petrol prices by station.
- What is in each row?
- One price a Queensland service station reported for one fuel, with the station's id, name, brand, address, suburb, postcode and coordinates, the fuel type, the price in tenths of a cent per litre, and the time the price was reported in UTC. A station reports a new row each time it changes a price.
- How do I read the price?
- The price is in tenths of a cent, so 1699 is 169.9 cents a litre. The publisher writes 9999 when a fuel is temporarily unavailable, such as an empty tank, and those cells are null here.
- Which month does it cover?
- The newest month Queensland Treasury has published, August 2026 in the first version here. Treasury adds a file for each month, and this table follows the newest one, so each version is one month.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 12 fields, count and filter across all 92,244 rows and diff its versions. Every answer names the version and carries Treasury's attribution. No key.
Then ask it: What does Fuel price changes at every service station, Queensland, latest month hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcpStreamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month?For an assistant that reads the web and has no connector.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=fuel_type&metric=avg.price
Average of the prices reported for each fuel type, in tenths of a cent a litre: 2,495 Premium Diesel, 2,476 Diesel, 2,386 e85, 2,292 PULP 98 RON.
Download it as Excel, CSV, JSON and 9 more formats
Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.
In your own tools
Use it in Excel, R, Python and more
Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.
The dated URL in the code never changes. https://publicdata.au/d/qld-fuel-prices/latest/ redirects to the newest version.
https://publicdata.au/d/qld-fuel-prices/latest/data.csvIn Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.
https://publicdata.au/d/qld-fuel-prices/latest/data.csvIn Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("qld-fuel-prices")
pd_attribution(df)install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("qld-fuel-prices")
df.attrs["publicdata"]["attribution"]pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/data.duckdb' AS qld_fuel_prices (READ_ONLY);
SELECT fuel_type, count(*) FROM qld_fuel_prices.records GROUP BY 1 ORDER BY 2 DESC;The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/qld-fuel-prices/aggregate?group=fuel_type&metric=avg.price");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution);The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
What is in it
Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised. Cells were typed and headers were made snake_case. Rows were left alone.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| site_id | integer | SiteId | |
| site_name | string | Site_Name | |
| site_brand | string | Site_Brand | |
| site_address | string | Sites_Address_Line_1 | |
| site_suburb | string | Site_Suburb | |
| site_state | string | Site_State | |
| site_postcode | string | Site_Post_Code | Kept as text. |
| site_latitude | number | Site_Latitude | |
| site_longitude | number | Site_Longitude | |
| fuel_type | string | Fuel_Type | |
| price | integer | Price | In tenths of a cent, so 1699 is 169.9 cents a litre. The publisher's 9999, a fuel temporarily unavailable, is null. |
| reported_at_utc | datetime | TransactionDateutc | The time the price was reported in Coordinated Universal Time, 10 hours behind Queensland time. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.
A sample of 10 rows
From the latest version, newest first by reported (UTC), each fuel type in turn, then in the publisher's order, with every field. A blank cell is shown as null.
| site_id | site_name | site_brand | site_address | site_suburb | site_state | site_postcode | site_latitude | site_longitude | fuel_type | price | reported_at_utc |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 61402880 | 7-Eleven Raceview | 7 Eleven | 59-63 Raceview Street | Raceview | QLD | 4305 | -27.634495 | 152.774545 | e10 | 2009 | 2026-08-31T13:59:00 |
| 61402880 | 7-Eleven Raceview | 7 Eleven | 59-63 Raceview Street | Raceview | QLD | 4305 | -27.634495 | 152.774545 | PULP 95/96 RON | 2199 | 2026-08-31T13:59:00 |
| 61402880 | 7-Eleven Raceview | 7 Eleven | 59-63 Raceview Street | Raceview | QLD | 4305 | -27.634495 | 152.774545 | PULP 98 RON | 2289 | 2026-08-31T13:59:00 |
| 61402880 | 7-Eleven Raceview | 7 Eleven | 59-63 Raceview Street | Raceview | QLD | 4305 | -27.634495 | 152.774545 | Unleaded | 2029 | 2026-08-31T13:59:00 |
| 61478299 | Pearl Energy Burleigh Heads | Pearl Energy | 150 Oyster Creek Dr | Burleigh Heads | QLD | 4220 | -28.116359 | 153.41858 | Diesel | 2465 | 2026-08-31T13:33:00 |
| 61477642 | Shell Reddy Express Maroochydore | Reddy Express | 9 Church St | Maroochydore | QLD | 4558 | -26.652383 | 153.088302 | Premium Diesel | 2519 | 2026-08-31T13:15:00 |
| 61401436 | NightOwl BP Sunnybank | BP | 841 Musgrave Road | Sunnybank | QLD | 4109 | -27.567106 | 153.064684 | LPG | 1099 | 2026-08-31T03:21:00 |
| 61402158 | EG Ampol Mount Isa | EG Ampol | 54 Miles Street | Mount Isa | QLD | 4825 | -20.723824 | 139.492636 | OPAL | 2369 | 2026-08-26T02:42:00 |
| 61402643 | United Southbrook | United | 2189 Gore Highway | Southbrook | QLD | 4363 | -27.636739 | 151.743976 | e85 | null | 2026-08-25T00:40:00 |
| 61478299 | Pearl Energy Burleigh Heads | Pearl Energy | 150 Oyster Creek Dr | Burleigh Heads | QLD | 4220 | -28.116359 | 153.41858 | e10 | 1945 | 2026-08-31T13:33:00 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/qld-fuel-prices/latest/data.json
{
"site_id": 61290151,
"site_name": "Liberty Surat",
"site_brand": "Liberty",
"site_address": "61 Burrowes Street",
"site_suburb": "Surat",
"site_state": "QLD",
"site_postcode": "4417",
"site_latitude": -27.151687,
"site_longitude": 149.067742,
"fuel_type": "Diesel",
"price": 2499,
"reported_at_utc": "2026-08-04T22:54:00"
}
Query it without downloading
The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.
How filters work
Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less than or equal to the value. |
| like.*text* | Matches a pattern where * stands for any run of characters. Case-sensitive. |
| ilike.*text* | The same as like, ignoring case. |
| in.(a,b,c) | Equal to any value in the list. A value cannot contain a comma. |
| is.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers. |
Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.
The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.
https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.
Smaller files
The same rows split by a field, one JSON file each with a GeoJSON beside it. Each file carries the same provenance header.
By fuel_type (9 files)
by/fuel_type/index.json lists every file with its row count.
What changed
One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.
- 2026-09-02 92,244 rows12 fieldsutf-8-sigf29ef1902330
versions.json · changes.json · history.tar.zst (406 KB, every version's Parquet and manifest)
Questions
How do I download Fuel price changes at every service station, Queensland as a CSV file?
Open https://publicdata.au/d/qld-fuel-prices/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Fuel price changes at every service station, Queensland in Excel?
Yes. https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/data.xlsx is a workbook with the 92,244 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/data.csv.gz is the CSV at about a tenth of the size.
How often is Fuel price changes at every service station, Queensland updated?
Treasury releases it monthly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Fuel price changes at every service station, Queensland commercially?
Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.
Is this the official source for Fuel price changes at every service station, Queensland?
No. The publisher is Queensland Treasury, and its page is https://www.data.qld.gov.au/dataset/fuel-price-reporting-2026. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.
How do I get only the rows for one fuel type?
Every version has one JSON file per value of fuel_type, 9 files in the current version, listed with row counts at https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/by/fuel_type/index.json. For example https://publicdata.au/d/qld-fuel-prices/v/2026-09-02/by/fuel_type/unleaded.json holds the 19,899 rows where fuel_type is Unleaded. A GeoJSON file sits beside each one.
What coordinate system does Fuel price changes at every service station, Queensland use?
Latitude and longitude in decimal degrees as published. The publisher does not name the datum; GDA2020 and WGS84 differ by under 2 metres. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.
What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.csv so the change can be checked.