Apify

· #322 most-used

Turn any website into structured data your agents can act on

DatabaseAnalyticsDeveloperAIAutomation

Apify is the world's largest marketplace for web scraping and automation Actors — containerised crawlers you deploy in seconds to extract structured data from any site, no infrastructure required. Connect Apify to Actionist and your agents can run Actors on demand, harvest datasets, set and retrieve key-value store records, and react to run events via webhooks — transforming the open web into a live data feed for every workflow in your stack.

Average time saved
10 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of navigating scraping tools, downloading CSVs, and reformatting output by running Actors programmatically and routing results directly to downstream systems.

Schedule

What your Apify agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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Fri
7a
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10a
11a
12p
1p
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Multi-app workflows

Apify × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~54 hrsSaved / week
6Personas served
For customer success
Featured4 apps

Churn signal to action in 60 seconds

When a customer's support email mentions cancellation, your agent scrapes the customer's LinkedIn company page and G2 review history via Apify to surface recent headcount changes and sentiment shifts — then runs a targeted Actor to pull their product-usage patterns from your data warehouse, posts a Slack alert to the CSM with a one-paragraph churn risk summary, and drops a follow-up call on the calendar before the email has left the customer's Sent folder.

~6 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new email arrives in Gmail matching 'cancel' or 'cancellation' from a known customer domain
Result
Run usage-pattern scraper ActorPost churn risk summary to CSM channelSchedule urgent follow-up call
The win
Saved per run
45 min
Runs / week
~8×
CSM notified in under 60 seconds
Driven byCustomer Support Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    18 min / week
    Manual LinkedIn research

    Reps spend 18 minutes per prospect hand-copying company size, job openings, and tech signals from LinkedIn and BuiltWith before each cold call.

    Sales Agent
    0 min
    Actor-powered prospect brief

    The agent fires the LinkedIn Company Scraper and BuiltWith Actor, merges the dataset, and delivers a one-page brief to the rep's Google Sheet tab before the call block.

  • Marketing
    13 min / week
    Competitor review mining

    The team manually reads G2 and Capterra pages to log competitor pain points, taking 13 minutes per competitor per week to stay current.

    Marketing Agent
    0 min
    Automated review harvest

    The agent runs the G2 Reviews Actor weekly, extracts top recurring pain points by keyword frequency, and posts the delta to the content team's Slack channel automatically.

  • Customer Support
    18 min / week
    Product recall scraping

    Support agents manually check supplier and regulatory sites for product safety notices relevant to open tickets, a 18-minute task done reactively per incident.

    Customer Support Agent
    0 min
    Real-time regulatory monitor

    The agent runs a scheduled Actor against regulatory databases and surfaces matching notices to the support queue the moment they're published, before a customer calls.

  • Human Resources
    7 min / week
    Job board benchmarking

    HR manually searches Indeed and Glassdoor to benchmark salary ranges and competing job descriptions, taking 7 minutes per open role.

    Human Resources Agent
    0 min
    Live compensation data pull

    The agent runs the Indeed Jobs Actor for each open role, extracts salary range and required skills from the top 20 results, and writes a benchmark card to the hiring Notion page.

  • Finance
    13 min / week
    Public filing lookup

    Analysts manually search SEC EDGAR for target company filings, downloading and skimming PDFs for revenue and headcount figures — 13 minutes per target.

    Finance Agent
    0 min
    Structured filing extraction

    The agent fires the EDGAR Scraper Actor, fetches the output dataset of quarterly filings, and writes key financial metrics directly to the HubSpot deal record within 2 minutes.

  • Operations
    25 min / week
    Supplier price monitoring

    The procurement team manually visits 10 supplier product pages each week to spot price changes, logging results by hand into a tracking spreadsheet — 25 minutes total.

    Operations Agent
    0 min
    Automated price change alerts

    The agent runs Scrape Single URL against each supplier page on a weekly schedule, diffs against the key-value store snapshot, and posts price change alerts to the procurement Slack channel.

  • Legal
    6 min / week
    Case law site search

    Paralegals manually search court record and legal database sites for precedent cases, copying citations into matter notes — 6 minutes per matter per week.

    Legal Agent
    0 min
    Targeted precedent scrape

    The agent runs a court-records Actor scoped to the relevant jurisdiction and case type, fetches the dataset of matching dockets, and appends formatted citations to the Notion matter page.

+ 100s of other Apify automations
Average monthly
10 hrs / person / month
Average monthly
10 hrs / person / month
Calculator

Calculate what your team saves

Team size
10 person
Hourly rate
$20 / hr
Hours saved / week
25
Hours saved / year
1,250
Annual ROI
$25,000

Based on Apify's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.

Connect

How to plug Apify into Actionist

Pick the connection method that suits your environment.

The fastest path to Apify. Connect through Apify's official MCP server and your agent gains instant access to 3,000+ Actors, datasets, and key-value stores via a single OAuth handshake — no token rotation, no manual credential management.

1
Open the Apps tab

Find Apify in the Apps library and click Connect. MCP is selected by default.

2
Authorise in Apify

You'll be redirected to Apify's OAuth consent screen. Sign in with your Apify account and grant Actionist read/write access to runs, datasets, and key-value stores.

3
Test the connection

Actionist runs a read-only call to verify the handshake. You're ready.

Actions

15 action your agent can call

Read and write operations available to your Actionist agent.

Triggers

6 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

Skills

Skills that pair with Apify

Reusable agent skills that work well alongside this app.

Social Content

Pairs with Apify's social media scrapers to turn harvested post data and engagement metrics into ready-to-publish content and competitive positioning reports.

Summarize 1.0.0

Condenses long-form Actor output datasets and scraped web pages into concise summaries the agent can route to Slack, email, or CRM records.

MCP servers

MCP servers that work with Apify

Connect Actionist to MCP servers built for or around this app.

apify-mcp-server
Official

Apify's official MCP server — exposes the full Actor, dataset, and key-value store API surface to your agent through a single OAuth-authorised connection.

apify
Official

Build, deploy, and trigger Apify Actors and automation pipelines directly from your agent via the Apify platform API.

apify/actors-mcp-server

Access 3,000+ pre-built cloud Actors for scraping websites, e-commerce platforms, social networks, maps, and search engines through a single MCP interface.

FAQs

Questions about Apify + Actionist

How do I connect Apify to Actionist?
The recommended path is MCP — click Connect on the Apify card, authorise via OAuth, and the agent immediately has access to your Actors, datasets, and key-value stores. If you prefer direct API access for CI pipelines or server-side flows, paste your Personal API Token (found at console.apify.com/account/integrations) into the API Token method instead.
Which Apify Actors can my agent run?
Any Actor in your Apify account, plus all 3,000+ public Actors on the Apify Store. The agent references Actors by their full ID (e.g. 'apify/web-scraper') when calling Run Actor. You can also save a pre-configured Actor run as an Apify Task and call it by Task ID via Run Task, which is safer for scheduled jobs because input parameters are locked.
What does the agent do while an Actor is running?
By default the agent waits for the Actor to finish before returning (synchronous mode). For long crawls — anything over a few minutes — use Run Actor in async mode, then poll Get run status on an interval or use the 'Finished Actor Run' webhook trigger to react the moment the job completes. This keeps the agent responsive and avoids holding open connections.
How does the agent access Actor output after a run?
Every Actor run writes results to an output dataset and optionally to a key-value store. The agent uses Fetch Dataset Items (with the dataset ID from the run metadata) to retrieve structured records, and Get Key-Value Store Record to read any named outputs. Find Last Actor Run returns both IDs so you never need to hard-code them.
Can my agent trigger actions when a scrape finishes, even if I didn't start it?
Yes — use the 'Finished Actor Run' or 'Finished Task Run' webhook triggers. Apify sends a webhook to Actionist the moment any run reaches a terminal state. You can filter by Actor ID or Task ID in the trigger settings to avoid reacting to every run in your account. For failure-specific logic, use the dedicated 'Actor run failed' trigger instead.
How do I avoid running up a large Apify bill from agent-triggered Actor runs?
Set a 'maxItems' or 'maxCrawlingDepth' input on every Actor call to cap output volume. Use Get run status to monitor cost via 'usageTotalUsd' in the run metadata, and configure the Abort run action to stop jobs that exceed a spend threshold. For high-frequency agents, prefer saved Tasks with fixed inputs over open-ended Actor calls — it limits scope and keeps costs predictable.
What permissions does Actionist need on my Apify account?
The MCP connection requests read and write access to Actor runs, datasets, and key-value stores. It does not request billing management, account settings, or team member administration. If you use API Token auth, the token has the same permissions as the account that generated it — so create a dedicated Apify account or sub-user for Actionist if you want to limit scope.
Can the agent use Apify's residential or datacenter proxies?
Yes — when calling Run Actor or Run Task, include a 'proxyConfiguration' object in the Actor input specifying the proxy group (e.g. 'RESIDENTIAL' or 'DATACENTER'). Proxy usage is billed separately by Apify based on bandwidth consumed. The agent cannot change your Apify proxy subscription tier — that setting lives in the Apify console.