SEO TOOLSDEVELOPER TOOLS API MCP READY

DuckDuckGo Scraper

DuckDuckGo search scraper that extracts comprehensive search results including organic results, ads, knowledge graph, news, inline images, videos, and related searches. Features localization, safe search, and date. Perfect for market research, SEO analysis, and competitive intelligence.

MEDIAN LAGon demand

PARAMETERS5

TOTAL USERS53

MONTHLY ACTIVE2

TOTAL RUNS607

RUNS SUCCEEDED100.0%

RATING5.0 (3)

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
query	string	yes	—	Search DuckDuckGo for this term.
localization	enum	no	us-en	Set the region and language for search results (e.g. `us-en`, `uk-en`, `fr-fr`, `de-de`, `jp-jp`).
safe	enum	no	moderate	Set the safe-search filter level.
date_filter	string	no	—	Filter results by date.
max_pages	integer	no	2	Set the maximum number of result pages to fetch. — drives your bill

Worked examples

Basic — the required input, with the schema's own example values

{
  "query": "The Siliconimist Podcast"
}

Coverage

42

localization / region — us-en uk-en ca-en au-en de-de +37

Tasks

Saved runs with the inputs already filled in — each one a standalone page and a working configuration example.

Request a task →

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~DuckDuckGo-Scraper-for-serp-rankings/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "The Siliconimist Podcast"}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/DuckDuckGo-Scraper-for-serp-rankings").call(
    run_input={'query': 'The Siliconimist Podcast'}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)