Gobii
AI coworkers with email/SMS identities for browser automation and data extraction
Gobii delivers persistent, identity-based AI agents that truly automate web research and data collection. It's a solid pick for recruiting and ops teams that need reliable browser automation, though the per-task overage fees mean high-volume users should budget carefully. The open-source option is a rare plus.
Verified 17d ago · liveness 77/100 · cite: rightaichoice.com/tools/gobii
- Recruiting teams using LinkedIn Recruiter and Greenhouse to automate candidate sourcing
- Operations leaders needing persistent web research and data extraction on schedule
- Enterprise teams requiring audit trails, sandboxing, and self-hosting options
- Sales and research teams wanting always-on competitor and market intelligence
- Small startups without a dedicated ATS like Greenhouse or CRM integration needs
- Recruiters who prefer fully manual sourcing and outreach
- Teams needing deep native CRM integrations beyond Greenhouse and webhooks
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Skip Gobii if you need real-time conversational AI or your workflows involve fewer than 50 repetitive tasks per month.
Overage $0.10/task beyond 1,000 on Pro plan
For small teams: Pro at $50/mo for 1,000 tasks ($0.10 overage) is competitive with Lindy and Zapier Agents if you stay within quota. Scale at $250/mo for 10,000 tasks ($0.04 overage) suits mid-volume teams; cheaper than comparable per-task agent platforms. Open-source self-hosting is free (bring your own models), ideal for high-volume or compliance-heavy use. Cheaper than Zapier Agents for modest usage, but competitors like n8n offer self-hosted automation at lower cost.
In short
Gobii — AI coworkers with email/SMS identities for browser automation and data extraction. Best for Recruiting teams using LinkedIn Recruiter and Greenhouse to automate candidate sourcing, Operations leaders needing persistent web research and data extraction on schedule, Enterprise teams requiring audit trails, sandboxing, and self-hosting options. Free to start; paid plans from $50/mo.
Viability Score
How likely is Gobii to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI agents with email, SMS, and chat interfaces
- Real browser automation with login support
- Persistent built-in database per agent
- Deliverables: reports, charts, PDFs, CSV exports
- Pre-built workers for recruiting, sales, ops, risk, research
- Custom instructions at personal and org level
- Agent identity (name, email, phone number)
- Per-agent sandboxing and encrypted secrets
- Full audit trails and approval loops
- Self-hosted deployment (MIT license)
- Batch scheduling and queueing
- Event triggers for automated workflows
- Real browser sessions: click, type, navigate
- File attachments: send and receive files
- 24/7 always-on operation
About Gobii
Gobii is an AI agent platform that gives teams always-on virtual coworkers equipped with their own name, email, and phone number. You communicate via email, SMS, or chat, and agents autonomously browse the web, fill forms, extract data, and deliver reports, CSVs, or PDFs straight to your inbox. Designed for recruiting, sales, operations, and research, Gobii includes pre-built workers like Talent Sourcer (which integrates with Greenhouse and LinkedIn Recruiter) and Competitor Intelligence Analyst. Each agent maintains a persistent built-in database, uses real browser sessions with login support, and can be instructed in plain English. The platform offers per-agent sandboxing, encrypted secrets, full audit trails, and optional self-hosting under an MIT open-source license. Compared to Zapier Agents or Lindy, Gobii provides deeper autonomy and persistent identity but uses per-task pricing that can add up for heavy usage.
Behind the Verdict
Gobii stands out by giving each agent its own identity—name, email, phone—so you interact like with a remote coworker. This isn't a chatbot; it's a persistent browser automation agent that runs 24/7. The pre-built workers (Talent Sourcer, Competitor Intelligence Analyst, etc.) lower the barrier to entry, and the built-in database means you don't need a separate tool to store results. We'd reach for this when we need structured data extraction from sites that require login or complex navigation—like LinkedIn Recruiter for candidate sourcing. Where it bites: per-task pricing. At $0.10/task overage on Pro, a big research run can cost extra. The Team plan ($50/seat/month) pools credits, which helps. The open-source MIT license is a strong differentiator for enterprises that must self-host. Security features like per-agent sandboxing and audit trails are enterprise-ready. Compared to Lindy, Gobii offers more autonomous browsing; Lindy is lighter on identity. Compared to n8n, Gobii is less developer-oriented but more turnkey for non-technical ops. Real-world caveat: the agent's reliability depends on website changes, and complex multi-step workflows may need iteration. For teams that need persistent, identity-based agents with browser automation and self-hosting, Gobii is a pragmatic choice.
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Real-world workflow fit
Concrete scenarios for the personas Gobii actually fits — and what changes day-one when you adopt it.
Paste a job description into Gobii's Talent Sourcer agent; the agent researches LinkedIn Recruiter, pulls 50 candidate profiles, scores fit, and produces a CSV shortlist with links and evidence.
Outcome: Shortlist ready in 2 hours vs 2 days manually; recruiter reviews and sends InMails.
Set up a Competitor Intelligence Analyst agent to monitor 5 competitors' pricing pages weekly; agent emails a PDF report with changes every Monday.
Outcome: Sales team gets timely intel without manual checks; report used to adjust pricing pitches.
Configure a compliance monitoring agent to check 10 regulatory policy URLs daily; agent diffs pages and logs changes in a Google Sheet.
Outcome: Automated tracking reduces manual audit prep by 10 hours/week; audit trail available on demand.
Use Cases
- Lead generation: research 200 prospects and collect their emails automatically
- Recruiting: screen candidates by extracting data from job boards and ATS
- Market research: gather competitor pricing into a structured spreadsheet
- Sales outreach: enrich CRM contacts with web-sourced data and send follow-ups
- Compliance monitoring: regularly check policy pages for changes and report diffs
Models Under the Hood
as of 2026-07-06
Limitations
- Complex multi-step workflows may require iterative human review.
- The agent catalog is still growing; custom worker deployment may be needed for niche tasks.
- Self-hosting requires technical setup.
- No real-time conversation capability — agents are async.
as of 2026-06-26
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Gobii tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0
Pro
$50/mo
Ideal for
Small teams or solopreneurs with moderate automation needs, up to 1,000 tasks/month, requiring email/chat support
What this tier adds
First paid tier with 1,000 tasks, 20 contacts/agent, $0.10 overage, and 600 req/min rate limit
Scale
$250/mo
Ideal for
Growing teams with high-volume automation (up to 10,000 tasks/month) needing priority queue and dedicated support
What this tier adds
10,000 tasks, 50 contacts/agent, $0.04 overage, 1,500 req/min, batch scheduling, and dedicated support channel
Team
$50/seat/mo
Where the pricing makes sense
The company stage and team size where Gobii's pricing actually pencils out — and where peers do it cheaper.
For small teams: Pro at $50/mo for 1,000 tasks ($0.10 overage) is competitive with Lindy and Zapier Agents if you stay within quota. Scale at $250/mo for 10,000 tasks ($0.04 overage) suits mid-volume teams; cheaper than comparable per-task agent platforms. Open-source self-hosting is free (bring your own models), ideal for high-volume or compliance-heavy use. Cheaper than Zapier Agents for modest usage, but competitors like n8n offer self-hosted automation at lower cost.
Setup time & first value
How long it actually takes to get something useful out of Gobii — broken out by persona, not the marketing-page minute.
For a recruiter: 15 minutes to create a Talent Sourcer agent from a template and connect Greenhouse. For a sales ops manager: 30 minutes to configure a Competitor agent with target URLs and report schedule. For a developer self-hosting: 1-2 hours to deploy from GitHub and configure models.
Switching to or from Gobii
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual spreadsheets: export your research criteria as a plain-English brief and paste into a new Gobii agent
- →From Zapier Agents: recreate multi-step workflows by chaining Gobii agents with approval loops and webhooks
- →From custom scripts: use Gobii's Agent API to replace Python/Playwright scripts with declarative agent instructions
- ↗To n8n: export agent workflows as webhook endpoints and rebuild with n8n nodes
- ↗To Lindy: re-create each Gobii agent as a Lindy AI worker with similar task triggers and outputs
- ↗To custom automation: download agent data via Google Sheets export and rewrite logic in Python or Node.js
Integrations
Resources & Guides
Official links
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Common stack mates teams adopt alongside Gobii, with the specific reason each pairing earns its keep.
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