perplexity-web-searchWeb search and URL fetching via Perplexity Sonar Pro. Use when searching the web, looking up information, fetching URL content, or configuring web search set...
Install via ClawdBot CLI:
clawdbot install aligurelli/perplexity-web-searchWeb search via Perplexity (default: sonar) and URL content fetching. Sonar-pro is optional for deeper analysis.
This skill uses the Perplexity key configured in your OpenClaw setup. No shared or third-party keys are used.
If your environment is not already configured, set PERPLEXITY_API_KEY or configure the key in OpenClaw config.
Recommended default (cost-effective):
{
tools: {
web: {
search: {
provider: "perplexity",
perplexity: {
apiKey: "<your-perplexity-api-key>",
baseUrl: "https://api.perplexity.ai",
model: "sonar"
}
}
}
}
}
Optional deep mode (higher quality, higher cost):
{
tools: {
web: {
search: {
perplexity: {
model: "sonar-pro"
}
}
}
}
}
Use sonar-pro only when you explicitly need deeper analysis.
Get your API key at: https://www.perplexity.ai/settings/api
https://api.perplexity.ai)web_fetch fetched page contents are processed locally by OpenClaw (not sent to Perplexity)Search the web. Returns AI-synthesized answers with citations.
Parameters:
query (required) β search querycount (1-10) β number of resultscountry β 2-letter code: TR, US, DE, ALLsearch_lang β result language: tr, en, de, frfreshness β time filter: pd (day), pw (week), pm (month), py (year)For market research or user feedback queries, add social platform names naturally to the query. This makes Perplexity include results from Reddit, Twitter, Quora etc. alongside normal web results β no filtering, no restriction, just broader coverage.
web_search(query="cell tower finder app complaints features users want reddit twitter quora")
Perplexity will pull from both regular websites AND social platforms in one search.
For cases where you ONLY want a specific platform, use site: operator:
web_search(query="site:reddit.com best stud finder app")
Examples:
web_search(query="latest Flutter updates", freshness="pw")
web_search(query="Δ°stanbul hava durumu", country="TR", search_lang="tr")
web_search(query="AI news", count=5, freshness="pd")
web_search(query="GLP-1 tracker app wish features complaints reddit twitter quora")
Fetch URL content as markdown/text. No JS execution. Content is extracted locally.
Parameters:
url (required) β HTTP/HTTPS URLextractMode β markdown (default) or textmaxChars β truncation limitsonar (default) β fast Q&A + web search, cost-effectivesonar-pro β multi-step reasoning + web search (use when deeper analysis is needed)sonar-reasoning-pro β deep chain-of-thought research (expensive, use sparingly)Set the model in config based on your budget/quality preference.
Generated Feb 25, 2026
Developers can use web_search to gather user feedback and feature requests from social platforms like Reddit and Twitter. This helps identify pain points and desired functionalities for new or existing applications, enabling data-driven product decisions.
Journalists or analysts can perform web searches with freshness filters to track breaking news or trends in specific industries. This allows for timely reporting and competitive analysis by accessing the latest information from diverse sources.
Businesses expanding internationally can use country and language parameters to find region-specific information, such as weather updates or local regulations. This supports market entry strategies and localized marketing efforts.
Researchers can leverage web_fetch to extract and analyze content from academic papers or articles in markdown format. This facilitates literature reviews and data collection without manual copying, improving efficiency in scholarly work.
Tech companies can search for competitor updates and industry news using advanced models like sonar-pro for deeper insights. This helps in benchmarking and strategic planning by synthesizing information from multiple web sources.
Offer a service where businesses pay a monthly fee for regular web searches and reports on industry trends or competitor activities. Use the skill to automate data gathering and provide synthesized insights, targeting sectors like marketing or consulting.
Build a platform that uses web_fetch to aggregate and summarize content from various URLs, then sell access to curated markdown summaries. This can serve publishers or educators looking for efficient content digestion tools.
Integrate the skill into enterprise software solutions, charging licensing fees for enhanced web search and content fetching capabilities. Target industries like legal or finance where up-to-date information is critical for decision-making.
π¬ Integration Tip
Configure the Perplexity API key in OpenClaw and choose the appropriate model based on cost and quality needs, such as using sonar for general queries and sonar-pro for deeper analysis.
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
Search indexed Discord community discussions via Answer Overflow. Find solutions to coding problems, library issues, and community Q&A that only exist in Discord conversations.
Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.