Actionist·Apify

Apify

· پراستفاده‌ترین #322

Turn any website into structured data your agents can act on

پایگاه دادهتحلیل دادهDeveloperAIاتوماسیون

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.

استفاده از Apify با Actionistبازدید از Apify
میانگین زمان صرفه‌جویی‌شده
10 ساعت
برای هر نفر · در هر ماه
تقریبا 1 روز کاری برگشتی

کار دستی را حذف می‌کند. 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.

زمان‌بندی

عامل Apify شما چه چیزهایی را خودکار اجرا می‌کند

یک هفته کارهای زمان‌بندی‌شده که عامل Actionist از طرف شما اجرا می‌کند.

28کارهای زمان‌بندی‌شده
7عامل‌های فعال
24/7همیشه روشن
عامل‌ها
چهارشنبه–جمعه
چهارشنبه
پنجشنبه
جمعه
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
گردش‌کارهای چنداپلیکیشنی

Apify × همه اپلیکیشن‌های دیگر شما

اتوماسیون‌های سرتاسری که چند اپلیکیشن را به هم وصل می‌کنند؛ هرکدام یک خروجی واقعی کسب‌وکار.

6گردش‌کارها
9اپلیکیشن‌های درگیر
حدود 54 ساعتصرفه‌جویی در هفته
6نقش‌های پوشش‌داده‌شده
برای موفقیت مشتری
ویژه4 اپلیکیشن

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.

حدود 6 ساعت

زمانی که تیم شما هر هفته و به‌صورت خودکار پس می‌گیرد

جریان کار
تریگر·When a new email arrives in Gmail matching 'cancel' or 'cancellation' from a known customer domain
تریگر
مرحله 1
Gmail
Detect cancellation-intent email
خواندن
مرحله 2
Apify
Fetch company profile and G2 reviews
نوشتن
مرحله 3
Apify
Run usage-pattern scraper Actor
نوشتن
مرحله 4
Slack
Post churn risk summary to CSM channel
نوشتن
مرحله 5
Google Calendar
Schedule urgent follow-up call
نتیجه
Run usage-pattern scraper ActorPost churn risk summary to CSM channelSchedule urgent follow-up call
برد اصلی
صرفه‌جویی در هر اجرا
45 دقیقه
اجرا در هفته
~8×
CSM notified in under 60 seconds
اجرا توسطCustomer Support Agent
بازگشت سرمایه

صرفه‌جویی

چیزی که تیم شما پس می‌گیرد: کارهای دستی‌ای که حذف می‌شوند و ارزشی که ایجاد می‌شود.

بدون Actionist

کاری که امروز دستی انجام می‌دهید

با Actionist

کاری که عامل شما برایتان اجرا می‌کند

  • Sales
    18 دقیقه در هفته
    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.

    عامل Sales
    ۰ دقیقه
    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 دقیقه در هفته
    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.

    عامل Marketing
    ۰ دقیقه
    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 دقیقه در هفته
    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.

    عامل Customer Support
    ۰ دقیقه
    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 دقیقه در هفته
    Job board benchmarking

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

    عامل Human Resources
    ۰ دقیقه
    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 دقیقه در هفته
    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.

    عامل Finance
    ۰ دقیقه
    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 دقیقه در هفته
    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.

    عامل Operations
    ۰ دقیقه
    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 دقیقه در هفته
    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.

    عامل Legal
    ۰ دقیقه
    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.

+ صدها اتوماسیون دیگر Apify
میانگین ماهانه
10 ساعت / نفر / ماه
میانگین ماهانه
10 ساعت / نفر / ماه
محاسبه‌گر

محاسبه کنید تیم شما چه چیزی ذخیره می‌کند

اندازه تیم
10 نفر
نرخ ساعتی
20 دلار / ساعت
ساعت ذخیره‌شده / هفته
25
ساعت ذخیره‌شده / سال
1,250
بازگشت سالانه
$25,000

بر اساس الگوی رایج استفاده تیمی از Apify: کارهای قابل مشاهده به‌علاوه چند اتوماسیون دیگر که عامل اجرا می‌کند: حدود2.5 ساعت / نفر / هفته کار اداری خودکار می‌شود.

اتصال

چطور Apify را به Actionist وصل کنید

روش اتصالی را انتخاب کنید که با محیط کاری شما سازگار است.

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.

اکشن‌ها

15 اکشن که عامل شما می‌تواند اجرا کند

عملیات خواندن و نوشتنی که برای عامل Actionist شما در دسترس است.

تریگرها

6 رویداد که عامل شما می‌تواند به آن واکنش نشان دهد

رویدادهایی که عامل شما زیر نظر می‌گیرد و در پاسخ به آن‌ها اکشن اجرا می‌کند.

مهارت‌ها

مهارت‌هایی که با Apify خوب کار می‌کنند

مهارت‌های قابل استفاده مجدد عامل که کنار این اپلیکیشن مفید هستند.

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.

سرورهای MCP

سرورهای MCP سازگار با Apify

Actionist را به سرورهای MCP ساخته‌شده برای این اپلیکیشن یا پیرامون آن وصل کنید.

apify-mcp-server
رسمی

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
رسمی

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.

پرسش‌ها

پرسش‌ها درباره 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.