Parallel integration
Parallel web search and research automation
Parallel is a web research API that runs deep, cited research tasks and returns structured results instead of raw links. The NoClick Parallel node covers that surface end to end: create task runs and batch them into task groups, launch FindAll runs to discover and enrich lists of entities, run fast entity searches, extract clean content from any page, and stand up monitors that watch the web and fire a webhook when something changes. It also speaks Parallel's OpenAI-compatible Chat Completions endpoint for research-backed answers inside a flow. Drop it onto the canvas to turn one-off lookups into repeatable research pipelines that other steps can act on.
What you can automate with Parallel
Parallel operations
Triggers1
Search2
Tasks5
Task Groups6
FindAll8
Monitors8
Chat1
Questions
Yes. The Parallel node creates task runs and groups them into task groups, adds runs to an existing group, and retrieves output with Get Task Group Run and Fetch Task Group Runs. Wire these to any trigger so a form submission, a schedule, or an inbound message launches structured research without anyone kicking it off by hand.
Add your Parallel API key in the node's credentials. Once the key is saved, every operation, from Create Task Run to Create Monitor, runs against your Parallel account, and you can reuse the same credential across multiple workflows.
Yes. Create a monitor with the node, then use the Receive Webhook Events trigger to start a workflow the moment Parallel sends an event. You can also read a monitor's current state with Get Monitor or stop it with Cancel Monitor from inside the same flow.
FindAll builds and enriches lists of entities that match your criteria. The node can Generate FindAll Spec, Create FindAll Run, Add FindAll Enrichment, Extend FindAll Run to widen results, check progress with Get FindAll Run Status, read output with Get FindAll Run Result, and Cancel FindAll Run if you no longer need it.
Yes. The Chat Completions operation calls Parallel's OpenAI-compatible endpoint, so you can send messages and get research-backed answers in the same shape you would expect from a standard chat API. That makes it easy to slot into steps that already speak the chat completions format.
