parallel-web-search▌
parallel-web/parallel-agent-skills · updated Apr 8, 2026
Fast web search for current information, research, and fact-finding across the internet.
- ›Executes single objective-based queries or multiple keyword searches in parallel, returning up to 10 results with excerpts and metadata
- ›Supports time-sensitive filtering via --after-date and domain-specific searches with --include-domains
- ›Outputs structured JSON with titles, URLs, publish dates, and excerpts for easy parsing and follow-up queries
- ›Requires inline citations for every claim using
Web Search
Search the web for: $ARGUMENTS
Command
Choose a short, descriptive filename based on the query (e.g., ai-chip-news, react-vs-vue). Use lowercase with hyphens, no spaces.
parallel-cli search "$ARGUMENTS" -q "<keyword1>" -q "<keyword2>" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/$FILENAME.json"
The first argument is the objective — a natural language description of what you're looking for. It replaces multiple keyword searches with a single call for broad or complex queries. Add -q flags for specific keyword queries to supplement the objective. The -o flag saves the full results to a JSON file for follow-up questions.
Options if needed:
--after-date YYYY-MM-DDfor time-sensitive queries--include-domains domain1.com,domain2.comto limit to specific sources
Parsing results
Do not set max_output_tokens on the command execution — the output is already bounded by --max-results and --excerpt-max-chars-total. Capping output tokens will truncate the JSON and break parsing.
Parse the JSON from stdout. For each result, extract:
- title, url, publish_date
- Useful content from excerpts (skip navigation noise like menus, footers, "Skip to content")
Response format
CRITICAL: Every claim must have an inline citation. Use markdown links like Title pulling only from the JSON output. Never invent or guess URLs.
Synthesize a response that:
- Leads with the key answer/finding
- Includes specific facts, names, numbers, dates
- Cites every fact inline as Source Title — do not leave any claim uncited
- Organizes by theme if multiple topics
End with a Sources section listing every URL referenced:
Sources:
- [Source Title](https://example.com/article) (Feb 2026)
- [Another Source](https://example.com/other) (Jan 2026)
This Sources section is mandatory. Do not omit it.
After the Sources section, mention the output file path (/tmp/$FILENAME.json) so the user knows it's available for follow-up questions.
Setup
If parallel-cli is not found, install and authenticate:
curl -fsSL https://parallel.ai/install.sh | bash
If unable to install that way, install via pipx instead:
pipx install "parallel-web-tools[cli]"
pipx ensurepath
Then authenticate:
parallel-cli login
Or set an API key: export PARALLEL_API_KEY="your-key"
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★66 reviews- ★★★★★Isabella Gill· Dec 28, 2024
Useful defaults in parallel-web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Henry Agarwal· Dec 24, 2024
I recommend parallel-web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hana Ramirez· Dec 20, 2024
We added parallel-web-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Isabella Ghosh· Dec 20, 2024
Solid pick for teams standardizing on skills: parallel-web-search is focused, and the summary matches what you get after install.
- ★★★★★Mia Mensah· Dec 16, 2024
Registry listing for parallel-web-search matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aarav Johnson· Dec 16, 2024
Keeps context tight: parallel-web-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Lucas Flores· Dec 8, 2024
parallel-web-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mia Taylor· Nov 27, 2024
Solid pick for teams standardizing on skills: parallel-web-search is focused, and the summary matches what you get after install.
- ★★★★★William Bhatia· Nov 19, 2024
parallel-web-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Mia Gupta· Nov 15, 2024
parallel-web-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 66