Crawl from sheets and compare results
Connect
SPIRITT
ApifyPut Actors to work
Keep web data useful
SPIRITT builds and runs Apify Actors, maintains crawl schedules, and checks the data they produce. Turn collected pages into pricing tools, research systems, and reliable feeds for your team.
What you can do with Apify.
Collection that keeps running
Maintain Actor tasks, schedules, and request queues so recurring collection continues beyond the first successful scrape.
Results you can trace
Check dataset fields, run logs, and source URLs before collected data reaches a dashboard or drives a business decision.
Software around your data
Build searchable research libraries, pricing dashboards, and review queues backed by Apify datasets and your connected tools.
Works with your other apps.
Get started in three steps.
01
Open your workspace
Start a SPIRITT workspace for the web research, data collection, or scraping operation you want to hand over.
02
Connect Apify
Connect Apify with an API key that has access to the Actors, tasks, datasets, and schedules your mission needs.
03
Delegate an outcome
Give SPIRITT your target sources, required fields, and collection cadence. It builds the workflow and carries the results into use.
Hand over a mission.
Choose a mission. Make it yours.
Put Apify to work.
Turn web collection into useful work
Questions
Apify, with SPIRITT.
01What can SPIRITT operate inside Apify?+
SPIRITT can create Actors and source versions, build and run them, configure reusable tasks and schedules, and retrieve their datasets and logs. It can also manage request queues, key-value records, and task webhooks to support the full collection workflow.
02What access does the Apify connection need?+
Apify connects with an API key. The key needs access to the resources involved in your mission, such as a specific Actor, its tasks, and output datasets. Runs remain subject to your Apify account limits; SPIRITT can inspect limits and usage when planning collection.
03Can SPIRITT use Store Actors or build a custom one?+
Both. SPIRITT can search public Actors in the Apify Store, inspect their details, and test suitable candidates with your inputs. For a custom source, it can create an Actor, add or update source versions, build them, and inspect the results. Coverage depends on the selected Actor and target website, not just having an Apify connection.
04How does recurring collection handle incomplete results?+
SPIRITT can configure schedules, inspect task runs and logs, and validate dataset items and field statistics. A completed run is not treated as proof of complete data. The workflow can separate suspect records, investigate changed inputs or source structure, and verify a fresh run before publishing results.
05What can SPIRITT build with the collected data?+
It can build a price comparison desk, searchable research library, supplier review portal, or data quality dashboard. Apify provides collection and storage objects; SPIRITT builds the application around them and can carry validated records into connected systems such as Supabase, Airtable, or HubSpot.
06How is this different from scheduling an Apify task?+
An Apify schedule starts configured collection work. SPIRITT can operate the wider outcome: develop the Actor, maintain inputs, inspect failures, validate output, and deliver it into software or team workflows. Task webhooks and dispatch history also let it verify downstream handoffs rather than stopping at a finished run.