LazyApply
LazyApply is a Chrome extension that automatically mass-applies to jobs on LinkedIn, Indeed, ZipRecruiter, Dice and Greenhouse by auto-filling application forms from a saved profile, and tracks the submitted applications in an analytics dashboard.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Application Honesty
Weight 20%32
+6.4
- 02
Data & Credential Safety
Weight 20%50
+10.0
- 03
User Control & Transparency
Weight 15%33
+5.0
- 04
Employer & ATS Legitimacy
Weight 15%25
+3.8
- 05
Effectiveness Evidence
Weight 12%35
+4.2
- 06
Pricing & Cancellation Fairness
Weight 10%42
+4.2
- 07
Support & Accountability
Weight 8%42
+3.4
§ 02 — Strongest · weakest
Strongest category
Data & Credential Safety
Raw score 50 · contributes 10.0 to total.
Weakest category
Employer & ATS Legitimacy
Raw score 25 · contributes 3.8 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
LazyApply is a browser-extension mass-apply bot founded in 2020 and operated from Rewa, Madhya Pradesh, India by Peve Visions Private Limited (co-founder Prakhar Gupta), marketed primarily to job seekers in the US and Canada. It auto-fills and submits applications across LinkedIn, Indeed, ZipRecruiter, Dice and Greenhouse from a saved profile using an autofill feature it brands 'Job GPT,' sends automated referral emails, and tracks submissions in an analytics dashboard. Plans are annual and billed upfront: Basic $99/yr (15 applications/day), Premium $149/yr (150/day) and Ultimate $999/yr (1,500/day), with no monthly option and no free trial.
Regulatory exposure
The core job-seeker risk is account safety and output accuracy. LazyApply automates LinkedIn applications, which LinkedIn's terms prohibit; it appears on a public blacklist of ToS-violating plugins, and reviewers report temporary restrictions or permanent account deletion from heavy use, a risk LazyApply's own terms disclaim entirely (service provided 'AS IS,' no responsibility for third-party sites). Because it maps profile fields to forms by pattern-matching with no review-before-submit step, independent hands-on testing found it silently entering wrong answers (e.g., salary expectations and H-1B visa-sponsorship status), which can misrepresent the candidate and suppress responses. On data, the extension rides the user's already logged-in browser session rather than harvesting job-board passwords (a relative positive), but its privacy policy permits sharing with advertisers/marketing partners and retention of up to six years, and it carries no SOC 2 or disclosed resume-encryption practices.
Path to a higher score
To become recommendable, LazyApply would need a genuine review-and-edit step before each submission, published anti-fabrication/accuracy safeguards, an end to (or explicit warning about) LinkedIn-ToS violations that endanger user accounts, a recognized security certification (SOC 2) with clear resume-data handling and deletion, a 30-day refund that is actually attainable under normal use, and demonstrably faster support. Until then it is a high-risk, volume-over-quality tool; job seekers who use it should confine it to lower-enforcement boards (Indeed/ZipRecruiter), avoid LinkedIn, and manually verify every autofilled field before trusting it.
Conflicts of interest
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Casework has no commercial relationship with this vendor.