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Qwant Scraper

The Qwant scraper template turns Qwant web search result pages into a clean CSV. Add the Qwant result URLs you want to research, run the local desktop app, and export keyword, title, link, description, host, and path rows without writing browser automation or routing query lists through a hosted SERP vendor.

Output

CSV

Columns

6

Inputs

URL list

Runtime

Local

Blocks

21

At a glance

Qwant to CSV without a cloud SERP API

Export Qwant results into fixed columns

Use it when you need Qwant to CSV output that analysts can filter, sort, and deduplicate. Each row keeps the original keyword beside the result title, outbound URL, snippet, domain, and breadcrumb-style path.

Run multiple searches from one workflow

Edit the Navigate URL list with one or many Qwant search URLs. Loop Continue advances through the batch after each page has been processed.

Keep query lists on your machine

The browser session and CSV write happen in the desktop app. That matters when a team wants a local Qwant scraper instead of account-based cloud runners.

Filter noisy SERP elements before export

The injected cleanup step excludes Qwant internal links, image rows, promotional destinations, ad-click paths, and duplicate URLs so the CSV focuses on usable web results.

Who it helps

Use cases for Qwant search result research

Market researchers

Source discovery

Favorable to scraping

Export Qwant results for topic research, pull the host column into a pivot table, and pass promising websites into a follow-up workflow such as the Website Contact Details Scraper.

Compliance-aware teams

Local evidence

Nuanced outcome

Keep search inputs and exported rows under desktop custody while documenting which keyword produced each row. That is useful for evidence logs, content audits, and procurement reviews that disallow hosted scraping jobs.

How to use

Configure the Qwant scraper workflow

1

Import the template

Download the free JSON template from this page and import it into UScraper. The hosted file is the workflow definition used for this Qwant search results scraper.

2

Edit the Navigate URL list

Replace the sample URLs with your own Qwant searches, such as https://www.qwant.com/?q=your%20keyword&t=web. Add one URL per keyword or research theme.

3

Confirm the save folder

The Structured Export block writes qwant_scraper_clean.csv with headers and append mode. Change the folder before running if each client or campaign needs a separate file.

4

Run the page loop

The automation follows Navigate -> wait -> optional cookie click -> scroll -> cleanup script -> structured export. If Qwant exposes a Next control, the flow clicks it and repeats.

5

Open and review the CSV

Check row counts, scan a few links, and confirm the host/path fields match the destinations you expected before you run a larger batch.

Output preview

What the Qwant CSV export looks like

qwant_scraper_clean.csv
CSV - UTF-8 - Append

Column

keyword

Search phrase parsed from the Qwant URL.

Column

title

Organic result headline after cleanup.

Column

link

Resolved external destination URL.

Column

description

Snippet text displayed near the result.

Column

host

Destination domain without the leading www.

Column

path

Readable host and path breadcrumb.

Sample rows

3 of many

keywordtitlelinkdescriptionhostpath
DIY home decor ideasCreative Small-Space Home Decor ProjectsA practical guide to shelves, lighting, paint accents, and low-cost weekend updates.example.comexample.com > home > decor > small space projects
Interesting science documentariesScience Documentaries Worth Streaming This MonthEditorial list covering space, climate, biology, and engineering films for general audiences.media.example.orgmedia.example.org > guides > science documentaries
privacy search engine comparisonPrivate Search Engines Compared for ResearchersComparison explains result sources, filters, ads, and everyday research trade-offs.research.example.netresearch.example.net > search > privacy engines
Headers included - rows append across every configured keyword URL and pagination pass

The field set is intentionally narrow. It captures the parts most teams need for export Qwant results workflows: the search term, the visible result, the destination, the snippet, the domain, and a readable path that helps with grouping.


Frequently asked questions

Qwant search pages are public, but automated collection can still conflict with Qwant Search terms, robots directives, copyright in snippets, privacy rules, or local law. Keep volumes modest, respect technical blocks, avoid redistributing protected excerpts, and get legal review before using scraped SERP data commercially.

Limits

Practical limits and maintenance notes

Keep these constraints visible

Pacing

High-volume runs can trigger checks

Avoid parallel runs and leave humane pauses between searches. This template is designed for controlled research batches, not aggressive crawling.

Selectors

Search layouts can change

The cleanup script depends on current Qwant result-page structure. If Qwant redesigns its web results, update the JavaScript extraction step before trusting a fresh dataset.

Policy

Review Qwant guidance before reuse

Read the official Qwant Search terms, robots.txt, and relevant data laws before republishing or selling collected snippets.

For broader discovery workflows, browse the UScraper template library, compare results with the Startpage Scraper, or install the desktop app from UScraper download before importing this template.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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FAQ

Frequently asked questions

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