Build a US AI Web Retrieval Search Dataset

Created by

DataScraperES

Actor

DuckDuckGo Search Scraper — Organic SERP API

Create a clean DuckDuckGo organic-search dataset for AI retrieval, classification, and content-enrichment workflows. Each row includes a ranked URL, title, domain, snippet, query, and localization metadata.

Try for free

DuckDuckGo Search Scraper — Organic SERP APIdatascraperes/duckduckgo-search-results-scraper

Query

Region

Page

Position

+5 fields

Input

Search queries(required):Python web scraping libraries+3

Maximum results per query:10

Maximum pages per query:1

Results region:us-en

Safe Search:Moderate

Output fields

Query

Region

Page

Position

Title

URL

Domain

Description

Fetched at

How it works

Sign up on Apify or log in

The DuckDuckGo Search Scraper — Organic SERP API Actor is ready to run with the inputs already set for "Build a US AI Web Retrieval Search Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a US AI Web Retrieval Search Dataset" task

The DuckDuckGo Search Scraper — Organic SERP API Actor will start running based on the input automatically. You can also change all the input fields, like search queries, maximum results per query, and more, to match your specific use case.

Receive the "Build a US AI Web Retrieval Search Dataset" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as query, region, page, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a US AI Web Retrieval Search Dataset" task via API.