Automations, described by what they do

15,351 working automation workflows. Every description is composed from the workflow's own steps: what starts it, which services it touches, whether it hands judgement to a model, and how much there is to read.

Browse the libraryBrowse by job

Cleaned of credentials and personal data. Ready to import.

Running now3 steps

Send daily Mailchimp subscriber reports to Slack

Waiting for a trigger
Workflows15,351working automations
Call a model7,615hand a step to AI
Services60apps they connect
Small5,286readable in one sitting

What they're for

17 kinds of job

The library

42 found

AllContentAlerts and monitoringData collectionIntegrationsLead generationResearch and reportingAI assistantsSchedulingMoney adminDocuments and filesChat assistantsCustomer supportE-commerceCRMHiringSetup and learningStrategy and planningApify ✕

Data collectionAIAnalyze real estate investment potential: Zillow propertiesStarts on an event in a connected app · 6 stepsApifyGoogle SheetsData collectionAIAmazon product data collection with ApifyStarts on a clock · 8 stepsApifyGoogle SheetsSlackData collectionAIExtract & analyze Amazon reviews with Apify and GeminiStarts on an event in a connected app · 8 stepsApifyGoogle SheetsSlackData collectionAIExtract product demand signals from G2 reviews with OpenAIStarts on a clock · 9 stepsAirtableApifyData collectionAIWrite personalised direct messages for Instagram with ApifyStarts on an event in a connected app · 9 stepsApifyGoogle SheetsData collectionAIMonetizable Reddit problems with Apify and GeminiStarts on a clock · 11 stepsApifyGoogle SheetsData collectionAITurn top Instagram reels into 7 new scripts with ApifyStarts on an event in a connected app · 12 stepsApifyGoogle SheetsData collectionAITrack weekly Pinterest keyword trends with ApifyStarts on a clock · 13 stepsApifyGoogle SheetsSlackData collectionAIGenerate AI voice receptionists for local businessesStarts on someone submitting a form · 15 stepsApifyGoogle SheetsData collectionAITrack and classify Facebook ad angles with Apify and OpenAIRun by hand · 15 stepsApifySupabaseSupabase vectorsData collectionAIBuild a labeled Reddit opinion dataset with Apify and OpenAIStarts on a clock · 16 stepsApifySupabaseSupabase vectorsData collectionAIScore job listings and generate tailored cover lettersStarts on a clock · 39 stepsApifyGmailGoogle DocsGoogle SheetsData collectionLog weekly US building permits to Google Sheets with ApifyStarts on a clock · 3 stepsApifyGoogle SheetsData collectionAutomate scraping Y Combinator startups with ApifyStarts on an event in a connected app · 4 stepsApifyGoogle SheetsData collectionKYB Business Entity Search to Google Sheets with ApifyStarts on an event in a connected app · 4 stepsApifyGoogle SheetsData collectionLog weekly Google Trends keyword metrics with ApifyStarts on a clock · 4 stepsApifyGoogle SheetsData collectionScrape Indeed job listings into dated Google Sheets with ApifyStarts on someone submitting a form · 4 stepsApifyGoogle SheetsData collectionSend daily Zhaopin AI job change digests to Feishu with ApifyStarts on a clock · 4 stepsApifyGoogle SheetsData collectionClassify Apify scraped dataset rows with OpenAIStarts on an event in a connected app · 5 stepsApifyGoogle SheetsData collectionCollect Crunchbase funding data into Google Sheets with ApifyStarts on an event in a connected app · 6 stepsApifyGoogle SheetsData collectionFind daily Amazon India bestsellers with ApifyStarts on a clock · 6 stepsApifyGoogle SheetsData collectionLog weekly Glassdoor reviews to Google Sheets with ApifyStarts on a clock · 6 stepsApifyGoogle SheetsData collectionTrack Amazon price drops from Google Sheets with ApifyStarts on a clock · 6 stepsApifyGoogle SheetsTelegramData collectionLog US Congress stock trades for your watchlist with ApifyStarts on a clock · 7 stepsApifyGoogle Sheets

Start small

A few you can read in one sitting

What we took out

Cleaned before anything was stored

These files carry more of whoever built them than is obvious. All of it is stripped, and every file was checked, not sampled. Where an author left a live document behind, it is replaced with the placeholder the careful ones used, so you can still see what belongs there.

Triggers

What starts them

  1. A clock4,166
  2. An event in a connected app3,946
  3. Another system calling it2,801
  4. An arriving email1,591
  5. Someone submitting a form1,545
  6. Someone opening a chat with it895
  7. A change in a Google Sheet216

Services

What they touch

Google Sheets5,229Gmail3,419Slack2,307Telegram1,809Google Drive1,540Email863Airtable554Google Calendar480Notion471RSS404Postgres306WhatsApp285

Read the workflows

Filter 15,351 automations by what they do, what they connect to and how big they are, and open the definition itself, ready to import.

Q&A

What are these?

Working automations: the definition of each, ready to import, with a description composed from its own steps.

Why are some descriptions unflattering?

Because they say what the workflow does. One that is four steps and a webhook is described as four steps and a webhook, so you can decide from the page whether it is worth your afternoon.

What was removed from the files?

Instance identifiers, canvas notes with personal links and email addresses, saved credential names, and live documents left in by their authors. Every file was checked, not sampled.

What do I need to run them?

A workflow automation tool that imports these definitions. Each imports as it is; you add your own credentials.