One complaint the Office of Fair Trading received, with its case number, the date it was opened, how it arrived, the industry and product it was about, the office region and whether the complainant gave a vulnerable group.

Which period does it cover?

The newest file the office has published, which is 1 January to 31 March 2026 in the first version here. The office publishes a file for each calendar year and a partial file for the current year.

Does a complaint mean the trader did something wrong?

No. Each row records a complaint received. The file does not record the outcome.

Why is the date text?

The office changed the order of day and month between files, and a date such as 2/05/2026 cannot be read safely without knowing which. The date is kept exactly as published.

Datasets / Queensland / Justice / Office of Fair Trading complaints, enforcement and registers, Queensland

Consumer complaints received by the Office of Fair Trading, Queensland, latest period

Name: Consumer complaints received by the Office of Fair Trading, Queensland, latest period
Creator: Department of Justice
Published: 2026-05-07
License: https://creativecommons.org/licenses/by/3.0/au/

live

Publisher Department of JusticeUpdated quarterlyLicence CC BY 3.0 AULatest 2026-05-07Rows 6,641Fields 7

Complaints received by the Queensland Office of Fair Trading, one row per complaint, for the newest period the office has published. Each row has the case number, the date and time the complaint was initiated, the channel it came through, the industry and product, the office region and whether a vulnerable group was given. The office names no trader in this file.

Also called: Office of Fair Trading complaints data Queensland, QLD consumer complaints by industry, Fair Trading Queensland complaints received.

Part of Office of Fair Trading complaints, enforcement and registers, Queensland, 4 tables the publisher releases together: Office of Fair Trading legal and enforcement actions, Queensland, latest period, Occupational licences held by type and region, Queensland, latest count, Registered associations, charities and cooperatives by region, Queensland, latest count.

Before you use it

What is in each row?: One complaint the Office of Fair Trading received, with its case number, the date it was opened, how it arrived, the industry and product it was about, the office region and whether the complainant gave a vulnerable group.
Which period does it cover?: The newest file the office has published, which is 1 January to 31 March 2026 in the first version here. The office publishes a file for each calendar year and a partial file for the current year.
Does a complaint mean the trader did something wrong?: No. Each row records a complaint received. The file does not record the outcome.
Why is the date text?: The office changed the order of day and month between files, and a date such as 2/05/2026 cannot be read safely without knowing which. The date is kept exactly as published.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 7 fields, count and filter across all 6,641 rows and diff its versions. Every answer names the version and carries Justice's attribution. No key.

Then ask it: What does Consumer complaints received by the Office of Fair Trading, Queensland, latest period hold, and what changed in the newest version?

claude mcp add --transport http publicdata https://publicdata.au/mcp

One command. No key, no account, no sign-up.

https://publicdata.au/mcp

Streamable 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.

ExploreChart every row in your browser

A dashboard over every row. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=industry&metric=count

Complaints received in the period by industry: 2,292 PERSONAL & HOUSEHOLD, 1,385 AUTOMOTIVE, 401 BUILDING, CONSTRUCTION & TRADE, 383 COMMUNICATION & IT.

Download it as Excel, CSV, JSON and 6 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.

Format

Version "Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.

https://publicdata.au/d/qld-consumer-complaints/latest/data.xlsx

Download

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-consumer-complaints/latest/ redirects to the newest version.

https://publicdata.au/d/qld-consumer-complaints/latest/data.csv

In 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-consumer-complaints/latest/data.csv

In 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-consumer-complaints")
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-consumer-complaints")
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-consumer-complaints/v/2026-05-07/data.duckdb' AS qld_consumer_complaints (READ_ONLY);
SELECT industry, count(*) FROM qld_consumer_complaints.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-consumer-complaints/aggregate?group=industry&metric=count");
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
case_number	string	Case Number
initiated	string	Initiated Date	The date the complaint was opened, kept as text as published. The office writes it month first in the January to March 2026 file, such as 1/13/2026 0:00, and day first in earlier files, so it is not read as a date.
channel	string	Channel
industry	string	Industry
product	string	Product
oft_region	string	OFT Region	The office region handling the complaint. Some rows name another state and some are blank.
vulnerable_group	boolean	Vulnerable Group Provided

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is case_number.

A sample of 10 rows

From the latest version, each industry in turn, then in the publisher's order, with every field. A blank cell is shown as null.

case_number	initiated	channel	industry	product	oft_region	vulnerable_group
C-2025-63193	1/01/2026 0:00	Internet	PERSONAL & HOUSEHOLD	BOND CLEANING	Brisbane	true
C-2025-63194	1/01/2026 0:00	Internet	TRAVEL	BOOKINGS AND/OR MANAGEMENT	Townsville	false
C-2026-63197	1/01/2026 0:00	Internet	HEALTH & BEAUTY	MEMBERSHIPS, CLASSES, ORGANISED SPORTS, COACHING	Sunshine Coast	false
C-2026-63202	1/01/2026 0:00	Internet	BUILDING, CONSTRUCTION & TRADE	INTERIOR HOUSEHOLD LABOUR AND/OR GOODS (NEC)	Brisbane	false
C-2026-63204	1/01/2026 0:00	Internet	TRANSPORT, STORAGE & LOGISTICS	PERSONAL GOODS (INCL. FOOD, BEVERAGES)	Brisbane	false
C-2026-63209	1/01/2026 0:00	Internet	EDUCATION, TRAINING & CHILDCARE	HIGHER EDUCATION AND/OR OTHER TRAINING	Southport	false
C-2026-63213	1/02/2026 0:00	Internet	CULTURE, ENTERTAINMENT & MEDIA	PERFORMING ARTS, LIVE ENTERTAINMENT, THEME PARK, EXHIBITION, OTHER LEISURE VENUE AND/OR OTHER EVENT	Brisbane	false
C-2026-63214	1/02/2026 0:00	Internet	AUTOMOTIVE	MOTOR VEHICLE SERVICING AND/OR REPAIRS (INCL. PARTS)	Townsville	false
C-2026-63224	1/02/2026 0:00	Email	REAL ESTATE	NON-RESIDENTIAL PROPERTY	null	false
C-2026-63225	1/02/2026 0:00	Email	GOVERNMENT & COMMUNITY GROUPS	REGISTRATION, MEMBERSHIPS, EVENTS AND/OR OTHER OPERATIONS	null	false

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-consumer-complaints/latest/data.json
{
  "case_number": "C-2025-63193",
  "initiated": "1/01/2026 0:00",
  "channel": "Internet",
  "industry": "PERSONAL & HOUSEHOLD",
  "product": "BOND CLEANING",
  "oft_region": "Brisbane",
  "vulnerable_group": true
}

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.

Try rows or aggregate for this dataset. The query builder needs JavaScript.

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. Each file carries the same provenance header.

By industry (21 files)

by/industry/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.

2026-05-07
6,641 rows7 fieldsutf-8-sigaf8741e75919

versions.json · changes.json · history.tar.zst (38 KB, every version's Parquet and manifest)

Questions

How do I download Consumer complaints received by the Office of Fair Trading, Queensland as a CSV file?

Open https://publicdata.au/d/qld-consumer-complaints/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-consumer-complaints/v/2026-05-07/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open Consumer complaints received by the Office of Fair Trading, Queensland in Excel?

Yes. https://publicdata.au/d/qld-consumer-complaints/v/2026-05-07/data.xlsx is a workbook with the 6,641 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-consumer-complaints/v/2026-05-07/data.csv.gz is the CSV at about a tenth of the size.

How often is Consumer complaints received by the Office of Fair Trading, Queensland updated?

Justice releases it quarterly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Consumer complaints received by the Office of Fair Trading, Queensland commercially?

Yes. CC BY 3.0 AU 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 Consumer complaints received by the Office of Fair Trading, Queensland?

No. The publisher is Department of Justice, and its page is https://www.data.qld.gov.au/dataset/consumer-complaints-office-of-fair-trading. 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 industry?

Every version has one JSON file per value of industry, 21 files in the current version, listed with row counts at https://publicdata.au/d/qld-consumer-complaints/v/2026-05-07/by/industry/index.json. For example https://publicdata.au/d/qld-consumer-complaints/v/2026-05-07/by/industry/personal-household.json holds the 2,292 rows where industry is PERSONAL & HOUSEHOLD.

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.

The publisher releases Office of Fair Trading complaints, enforcement and registers, Queensland as 4 files at once, so all 4 tables here share a version date.

Attribution and citation

The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used.

Department of Justice, Queensland Government, Consumer complaints, Office of Fair Trading, sourced 3 October 2026, https://www.data.qld.gov.au/dataset/consumer-complaints-office-of-fair-trading, licensed under CC BY 3.0 AU. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/qld-consumer-complaints/v/2026-05-07/

The attribution alone is inside every file. Harvard is the author-date form a report or a brief asks for. Paste the HTML on a web page so the links carry.

Licence record

Department of Justice states the licence, CC BY 3.0 AU, on its own page, which was read and recorded here on 1 October 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2026-05-07 read it from www.data.qld.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/qld-consumer-complaints")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23122379

Each copy carries the same attribution and links back to this page.

For agents and tools

datapackage.jsonFrictionless data package pointing at the latest version
schema.jsonTable Schema for every field
schema.xlsxthe same field list as an Excel data dictionary
versions.jsonevery version with date, rows, fields and hash
changes.jsondiff for every consecutive pair
manifest.jsonwhere the bytes came from and when
Query APIfiltered rows and counts without a download
openapi.jsonOpenAPI 3.1 for this dataset's query paths
explore/charts and dashboards in the browser, shareable and embeddable
index.mdthis page as Markdown

This page carries a schema.org Dataset record and is listed in /.well-known/ard.json and /catalog.json.

Source

Department of Justice publishes this table on www.data.qld.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 3 October 2026. Source SHA-256 af8741e759190395…

Improve this dataset

This page is built from register/qld-consumer-complaints.yaml on GitHub. Anyone can propose a fix to it, such as a clearer description or a field the publisher renamed, as a pull request.

Report a file that differs from the publisher's · How to contribute