Account operations
Maintain browser identities with repeatable browsing, following, liking, commenting, and profile activity patterns.
Explore use case →
Local browser operations for AI agents
Give AI agents the browser skills to operate real web accounts.
MultiAgentor lets AI agents launch local fingerprint browser profiles, run reusable Skills, and perform human-like workflows for account operations, authenticated data collection, and competitor monitoring.
Persistent browser identities
Logged-in session workflows
Local-first data control
Agent request
Monitor Amazon competitor listings every morning
Profile
US ecommerce identity
cookies, proxy, fingerprint, login state
Skill
Amazon Product Detail Collect
collect
compare
export
AI
Run plan generated
Open local browser profile, visit authenticated pages, collect structured fields, and return results to the agent.
Use cases
Turn AI reasoning into repeatable browser operations.
MultiAgentor gives agents reusable automation building blocks for workflows that need identity, login state, local browser context, and page interaction.
Authenticated data collection
Collect data that appears after login by running workflows inside local browser sessions.
Explore use case →Competitor monitoring
Check competitor listings, social content, engagement signals, prices, rankings, and changes on demand.
Explore use case →Ecommerce market monitoring
Monitor product pages, sellers, categories, labels, rankings, and marketplace changes.
Explore use case →Search result monitoring
Collect and compare SERP, maps, media, keyword, and public web signals across search platforms.
Explore use case →Email workflows
Run Gmail and Outlook inbox, message, account activity, and monitoring workflows in browser context.
Explore use case →Product layer
A local execution layer between AI agents and the web.
MultiAgentor is designed for agent-driven browser work: the agent decides what to do, MultiAgentor provides the browser profile, reusable Skill, and local runtime needed to perform the task in a controlled environment.
Persistent browser profiles
Keep cookies, sessions, proxy settings, and fingerprint context isolated per account or workflow.
Reusable Skills
Use task-specific automation units for platform actions, collection flows, analysis steps, and monitoring routines.
Local-first execution
Run browser work locally so account context and collected data stay closer to your own environment.
Agent-to-browser flow
Designed for Codex, Claude, and other agent workflows
1
Agent selects a Skill
The prompt includes the Skill name and task context.
2
MultiAgentor opens the right profile
The browser keeps identity, cookies, login state, and environment settings together.
3
The workflow runs in a real browser
Actions are performed through browser interaction to reduce brittle scraping failures.
4
Results return to the agent
The agent can summarize, compare, decide the next step, or trigger another Skill.
Platforms
Start from the platforms your agents already operate.
MultiAgentor supports ecommerce, social, email, and search workflows. The homepage shows a focused set of active platforms; the full platform library is one click away.
Amazon
EcommerceProduct detail collection, marketplace research, and ecommerce data workflows.
31 Skills →
eBay
EcommerceListing collection, seller research, and marketplace monitoring workflows.
102 Skills →
TikTok
SocialShort-video browsing, creator discovery, and account operation workflows.
60 Skills →
Feed browsing, creator discovery, and engagement workflows.
62 Skills →
Profile research, company checks, lead workflows, and feed browsing.
183 Skills →
Gmail
EmailInbox operations, message search, organization, and email account workflows.
82 Skills →
Bing
SearchSearch result collection, maps data, media results, and SERP monitoring.
84 Skills →
Yandex
SearchSearch, media, and public web result workflows for market research.
80 Skills →
How it works
From agent instruction to local browser execution.
MultiAgentor keeps the execution layer practical: choose a Skill, give the agent the right prompt, and let the browser workflow run locally.
01
Choose a Skill
Pick a ready-made automation for ecommerce, social, content, or email platforms.
02
Copy the agent prompt
Each runnable Skill can provide a prompt that includes the Skill name and task context for Codex or Claude.
03
Run in a real browser
MultiAgentor launches the local browser profile and performs the workflow with session, identity, and page state.
04
Return structured results
Send collected fields, status, screenshots, or workflow output back to the agent for the next decision.
Featured Skills
Popular browser automations from the current MultiAgentor catalog.
Amazon Asin Url Extract
Amazon Asin Url Extract is an Amazon Skill for data processing. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, url list, keyword, content, whether content url, content url content as input. It can produce asin list, content url list, content count, page url as output.
Data Processing
L
4.9
3.5K
7.2M runs
Amazon Breadcrumb Taxonomy Collect
Amazon Breadcrumb Taxonomy Collect is an Amazon Skill for data analysis. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, asin list, path content as input. It can produce content path, asin, page url as output.
Data Analysis
L
4.9
11.8K
2M runs
Amazon Buybox Offer Collect
Amazon Buybox Offer Collect is an Amazon Skill for data analysis. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, asin or product url, whether content as input. It can produce buy box content name, price, content asin, page url as output.
Data Analysis
L
4.9
19.1K
1M runs
Amazon Coupon Promotion Collect
Amazon Coupon Promotion Collect is an Amazon Skill for monitoring. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, keyword content asin, content, collect content as input. It can produce content url, asin, page url as output.
Monitoring
L
4.9
15.3K
8.9M runs
Amazon Movers Shakers Collect
Amazon Movers Shakers Collect is an Amazon Skill for monitoring. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, movers & shakers url, content name, content, whether content details as input. It can produce content, asin, title, price, content name, page url as output.
Monitoring
L
4.9
25.9K
7.1M runs
Amazon New Releases Collect
Amazon New Releases Collect is an Amazon Skill for monitoring. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, new releases url, content name, content as input. It can produce content, asin, title, price, rating, content name, page url as output.
Monitoring
L
4.9
28.1K
6.4M runs
Amazon Product Bullets Specs Collect
Amazon Product Bullets Specs Collect is an Amazon Skill for data collection. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, asin list, content bullet count, content as input. It can produce bullet points list, content list, asin, page url as output.
Data Collection
L
4.9
24.7K
8.2M runs
Amazon Product Detail Basic Collect
Amazon Product Detail Basic Collect is an Amazon Skill for data collection. It runs in a real browser session to perform the configured browser workflow in a repeatable way. It accepts amazon entry url, language, delivery zip code, asin or product url, retry count as input. It can produce product title, brand, price, rating, comment count, asin, listing date, page url as output.
Data Collection
L
4.9
98K
12.6M runs
Frequently asked questions
A practical view of how MultiAgentor fits into AI agent browser work.
What is MultiAgentor?
MultiAgentor is a local browser automation layer for AI agents. It gives agents reusable Skills, persistent browser profiles, and real browser execution for web tasks that require interaction, login state, or identity continuity.
How does an AI agent run a Skill?
Open a Skill, click Run Now, copy the generated prompt, and paste it into Codex or Claude. The prompt uses the Skill name so the agent can identify the automation and guide the run.
Why use a local browser instead of only scraping pages?
Many workflows depend on logged-in pages, dynamic interfaces, cookies, and account context. Running in a real browser helps agents handle those workflows more reliably than unauthenticated requests alone.
Can MultiAgentor help reduce blocking?
MultiAgentor is designed to reduce brittle automation failures by using isolated browser profiles, real browser interaction, and repeatable workflow logic. It does not promise that every website restriction can be avoided.
Where does my data run?
MultiAgentor is positioned around local-first execution, so browser sessions and collected outputs can stay closer to your own machine and account environment.
Add local browser execution to your AI agent workflow.
Start with ready-made Skills for account operations, authenticated data collection, ecommerce monitoring, and social platform workflows.