Actionist·Browse AI
B

Browse AI

· #387 most-used

Turn any website into structured data your agents can act on

MarketingAnalyticsDeveloperAIAutomationLead GenerationWebsite & CMS

Browse AI is a no-code web scraping and monitoring platform that lets you train AI robots to extract structured data from any website and watch pages for changes. Connect it to Actionist and your agents can bulk-run scraping robots across thousands of URLs, receive a trigger within about a minute whenever a monitored page changes, retrieve structured extracted data and route it to CRM, spreadsheets, or databases, and manage the full fleet of robots and their credit consumption — all without anyone opening the Browse AI dashboard.

Try Browse AI with ActionistVisit Browse AI
Average time saved
9 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of visiting websites to collect data, copying information into spreadsheets, and periodically checking pages for changes — replacing it with automated scraping robots that run on schedule and push results directly to the tools teams already use.

Schedule

What your Browse AI 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
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

Browse AI × every other app you use

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

6Workflows
6Apps spanned
~62 hrsSaved / week
6Personas served
For sales
Featured4 apps

Prospect list enriched automatically as new URLs are added

When new company URLs are added to the Google Sheets prospect list, the agent bulk-runs a Browse AI enrichment robot across all new entries, retrieves the captured company data, writes employee count, technology stack, and founding year back to the matching HubSpot contact records, and posts a summary of enriched records to the sales-ops Slack channel — all without a rep opening a browser tab.

~10 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When new rows are added to the prospect URL list in Google Sheets
Trigger
Step 1
Google Sheets
Detect new rows added to the prospect URL list
write
Step 2
B
Browse AI
Bulk Run Tasks across all new company website URLs
read
Step 3
B
Browse AI
Get Captured Data from completed enrichment tasks
write
Step 4
HubSpot
Update contact records with employee count, tech stack, and founding year
write
Step 5
Slack
Post enrichment summary to #sales-ops channel
Result
Bulk Run Tasks across all new company website URLsUpdate contact records with employee count, tech stack, and founding yearPost enrichment summary to #sales-ops channel
The win
Saved per run
~2 hrs
Runs / week
~5×
Reps enter every call with current company intelligence
Driven bySales 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
    120 min / week
    Manual company research for each prospect

    Sales reps manually visit each prospect's website, copy key firmographic details, and paste them into the CRM — spending 5 to 10 minutes per company before any meaningful outreach can start.

    Sales Agent
    0 min
    Agent bulk-enriches prospect list automatically

    When new company URLs are added to Google Sheets, the agent bulk-runs a Browse AI enrichment robot and writes employee count, tech stack, and founding year to HubSpot before the rep's next session.

  • Marketing
    150 min / week
    Weekly manual competitor pricing check

    A team member visits each competitor's pricing page each week, records any changes in a spreadsheet, and distributes a summary by email — a process that takes 2 to 3 hours and produces weekly-stale data.

    Marketing Agent
    0 min
    Agent detects competitor price changes within about a minute

    Browse AI monitors fire on every competitor pricing page change; the agent posts the old and new value to #competitive-intel and updates the tracking spreadsheet automatically.

  • Customer Support
    45 min / week
    Reactive incident discovery from customer tickets

    Support teams learn about third-party outages when customers report issues via tickets — typically 30 to 60 minutes after the incident begins, after multiple customers have already been affected.

    Customer Support Agent
    0 min
    Agent monitors third-party status pages continuously

    Browse AI monitors detect service incidents on third-party status pages and the support agent posts alerts to #support-alerts within about a minute, before customers report issues.

  • Human Resources
    90 min / week
    Manual competitor career page monitoring

    Recruiters manually check a handful of competitor career pages when time allows — usually missing new postings for days or weeks, and never monitoring more than a fraction of the relevant companies.

    Human Resources Agent
    0 min
    Agent sweeps 150 competitor career pages weekly

    The HR Agent bulk-runs a Browse AI robot across 150 competitor career pages each Thursday, extracting new roles by department and seniority, and flags hiring surges in the talent intelligence database.

  • Finance
    60 min / week
    Manual financial data entry from web sources

    Finance team members manually visit exchange rate sites and commodity dashboards, copy current values, and paste them into the treasury model spreadsheet — a 30 to 60 minute task that produces the same result every week.

    Finance Agent
    0 min
    Agent extracts current rates and prices from public sources weekly

    The Finance Agent bulk-runs Browse AI robots across exchange rate pages and commodity price boards, writing current values to the treasury model input sheet before each weekly review.

  • Operations
    60 min / week
    Reactive discovery of scraping failures

    Without automated quality checks, failed scraping tasks are discovered only when a downstream dashboard shows missing data or a report is wrong — often days after the failure first occurred.

    Operations Agent
    0 min
    Agent keeps robot fleet healthy with weekly quality gates

    The Operations Agent lists all robots, calculates success rates per robot, and flags any with sub-90% success before they feed bad data into downstream dashboards or models.

  • Legal
    120 min / week
    Manual regulatory publication monitoring

    Legal team members check a list of regulatory websites on a weekly or bi-weekly schedule — an activity that takes several hours per cycle and means new guidance may sit unread for days before the team sees it.

    Legal Agent
    0 min
    Agent flags new regulatory publications within about a minute

    Browse AI monitors fire on every new document published on regulatory websites; the Legal Agent creates a Notion entry, posts to #legal-compliance, and archives metadata to the compliance record automatically.

+ 100s of other Browse AI automations
Average time saved
65 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
11
Hours saved / year
550
Annual ROI
$41,250

Based on Browse AI's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.2 hrs / person / week of admin work automated.

Connect

How to plug Browse AI into Actionist

Pick the connection method that suits your environment.

Connect Browse AI using your account's API key. The key provides full access to your robots, tasks, and monitoring fleet — required for all scraping and monitoring actions.

1
Open Browse AI Settings

Log in to your Browse AI dashboard and navigate to Settings → API Keys. Click Generate new key to create a fresh API key.

2
Copy your API key

Copy the generated API key. Treat it like a password — it provides full access to all robots and tasks in your account.

3
Paste into Actionist

Paste the key into the API key field in Actionist and click Test connection. Actionist runs a read-only List Robots call to verify the handshake.

Credentials you'll need
API key*
Browse AI dashboard → Settings → API Keys → Generate new key
Actions

13 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

1 event your agent can react to

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

Skills

Skills that pair with Browse AI

Reusable agent skills that work well alongside this app.

Browserbase

Automate web browser interactions using natural language via CLI commands.

MCP servers

MCP servers that work with Browse AI

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

BrowseAI Dev

Evidence-backed web research for AI agents with citations and confidence scores.

FAQs

Questions about Browse AI + Actionist

How does Actionist connect to Browse AI?
In the Actionist Apps tab, find Browse AI and click Connect. The recommended path is via API key: go to your Browse AI dashboard, navigate to Settings → API Keys, generate a new key, and paste it into the API key field in Actionist. Actionist then runs a test call to list your robots and confirms the handshake before any actions run. If you need to run bulk tasks or access robots by ID, the same API key covers all Browse AI API v2 endpoints.
What permissions does my Browse AI API key need?
You need a Browse AI API key with access to your account's robots and tasks. Generate one in the Browse AI dashboard under Settings → API Keys. The key inherits the permissions of the account that generated it — all robots and tasks visible in that dashboard are accessible via the key. For team accounts, generate the key from an account with access to all robots your agent workflows will need to trigger.
Can Browse AI work alongside other apps in the same Actionist workflow?
Yes. Browse AI is most powerful when its extracted data flows into the apps where your team actually works. Common combinations: run a Browse AI robot to scrape competitor prices and write results to Google Sheets; use a Task Finished trigger to post scraped lead data directly to HubSpot; bulk-run a monitor robot when a Slack message lists new URLs to track; or combine Browse AI's website-to-API capability with a Notion database to keep a live market intelligence table. Any of Actionist's connected apps can receive Browse AI data in the same workflow.
What are the most common things agents do with Browse AI?
The four most common patterns: (1) competitive monitoring — running a Browse AI robot on a schedule to track competitor pricing or product listings and alerting the team when anything changes; (2) lead list enrichment — bulk-running a robot across a CSV of company URLs to extract contact details and employee counts, then pushing results to CRM; (3) market research automation — scheduling a robot to extract news headlines, job postings, or industry data daily and appending rows to a Google Sheet; (4) e-commerce intelligence — monitoring product availability and price changes on supplier or competitor sites and triggering purchase or alert workflows when thresholds are hit.
How quickly does the Browse AI trigger fire when a task completes?
The New Task (Webhook) trigger fires within about a minute of a Browse AI task completing — you configure a webhook in Browse AI that points to Actionist, and Actionist listens for task completion events. This means your downstream actions (writing to a spreadsheet, creating a CRM record, sending a Slack alert) run automatically each time any robot task finishes, without any polling. For polling-based checks on a schedule, you can also use the Get Task action on a timed cadence instead.
Can I run a Browse AI robot across thousands of URLs at once?
Yes. The Bulk Run Tasks action lets you run a Browse AI robot across thousands of URLs in a single API call. Instead of creating individual tasks one at a time, you pass a list of input parameters (typically a list of URLs) and Browse AI queues them all at once — the platform supports up to 500,000 tasks per bulk run. This is the right action when your agent needs to scrape an entire category of product pages, a full directory of company profiles, or a large list of property listings in one pass.
How do Browse AI monitors work with Actionist triggers?
Monitors in Browse AI watch a webpage for changes and create a new task automatically when something on the page changes. In Actionist, you can combine this with the New Task trigger — when Browse AI detects a price change, a new job posting, or updated product availability, it fires the webhook, which immediately triggers your downstream workflow: updating a database, alerting a rep, or logging the change to a spreadsheet. You set the monitoring frequency in Browse AI's dashboard; Actionist handles everything that happens after the change is detected.
Can I use Browse AI's prebuilt robots in Actionist?
Browse AI has over 250 prebuilt robots for popular websites — LinkedIn, Amazon, Zillow, Google Maps, Indeed, and many others. In Actionist, you reference these robots by their robot ID when using the Run Task or Bulk Run Tasks actions. You can find the robot ID in your Browse AI dashboard under the robot's settings. Prebuilt robots are maintained by Browse AI and adapt automatically to site layout changes, so your Actionist workflows keep running even when the target website redesigns its pages.