Turn extracted data into a recurring research digest
Run the same useful DQL query on schedule and review only what changed or matters.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Diffbot Search
Tool to search data extracted by crawl or bulk jobs using dql queries. use after data extraction jobs complete to retrieve search results.
Why this helps
Repeated searches are easy to postpone, so useful extracted data stays unseen after a job completes.
- Keep recurring research moving
- Standardize DQL based checks
- Receive concise result summaries
Setup
Build it in a few focused steps.
- 1Connect 0CodeKit and Diffbot in Notis once.
- 2Create an automation named Recurring Diffbot Search.
- 3Tell Notis to run your supplied DQL query after extraction jobs complete and summarize relevant results.
- 4Choose a recurring schedule trigger and choose where run reports should go.
- 5Test with one real query and result set.
Questions about this workflow
Do I need to provide the DQL query?
Yes, include the query and the result criteria in the automation instruction.
Can it run after a bulk job?
A schedule can check after you expect jobs to complete, while the prompt can note the dependency.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 0CodeKit to Diffbot. A trigger fires from one place; an action lands in another.
0CodeKit triggers
Diffbot actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Diffbot Search
Tool to search data extracted by crawl or bulk jobs using dql queries. use after data extraction jobs complete to retrieve search results.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
0CodeKit and Diffbot, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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