parallel-web
Parallel Web unifies web intelligence workflows through multiple capabilities: search for current information and research topics, extract content from specific URLs, enrich datasets with web-sourced fields, discover entities by criteria, run exhaustive multi-source reports, and set up recurring web monitoring. Route requests to the right capability based on your need.
Parallel Web searches the web for current information, extracts content from URLs, enriches data, and monitors changes across multiple capabilities.
AI-generated summary based on this skill's SKILL.md
Install
K-Dense-AI/scientific-agent-skills/parallel-web · repository language: Python
git clone https://github.com/K-Dense-AI/scientific-agent-skills
cp -r scientific-agent-skills/skills/parallel-web ~/.claude/skills/parallel-webFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I search the web with parallel-web?
parallel-web enables web search for current information and research topics. Use the search capability to query the web directly, retrieving up-to-date results across multiple sources. The tool routes your request to the appropriate search function based on your query type, whether you're looking for general information, specific entities, or research data.
Can parallel-web extract content from a URL?
Yes. parallel-web supports extracting and fetching content from specific URLs, including PDFs. This capability lets you pull structured data directly from web pages or documents without manual copying, making it useful for gathering information from particular sources you've identified.
What is parallel-web's exhaustive research capability?
parallel-web conducts exhaustive multi-source research reports by aggregating data from numerous web sources on a single topic. This goes beyond simple searches to provide comprehensive research synthesis, ideal when you need thorough coverage and cross-source validation of information.
How can parallel-web enrich data with web sources?
parallel-web enriches datasets by fetching web-sourced fields and values to augment your existing data. You can supply lists or datasets and have parallel-web automatically populate missing information, validate entries, or add contextual web data to each record.
Does parallel-web monitor website changes over time?
Yes. parallel-web supports recurring web monitoring and tracking to detect changes on websites over time. Set up monitoring tasks to watch for updates, new content, or structural changes, enabling you to stay informed about evolving web resources without manual checking.
What license does parallel-web use?
parallel-web is released under the MIT license, allowing free use, modification, and distribution with minimal restrictions. This open-source licensing makes it accessible for both personal and commercial projects.
SKILL.md
rendered from the published skill — quoted content, verbatim
Parallel Web Toolkit
A unified skill for Parallel's web-intelligence workflows. For scientific topics, prefer primary literature and authoritative institutional sources.
Routing — pick the right capability
Read the user's request and then open the corresponding reference file before running a command.
| User wants to... | Capability | Where |
|---|---|---|
| Look something up, research a topic, find current info | Web Search | references/web-search.md |
| Fetch content from a specific URL (webpage, article, PDF) | Web Extract | references/web-extract.md |
| Add |
(truncated - see the full file via the links below)
Read as markdown · JSON record · Browse the source repository
File tree — 7 files
skills/parallel-web/SKILL.md
skills/parallel-web/references/data-enrichment.md
skills/parallel-web/references/deep-research.md
skills/parallel-web/references/findall.md
skills/parallel-web/references/monitor.md
skills/parallel-web/references/web-extract.md
skills/parallel-web/references/web-search.md