// Scrape Glassdoor for company reviews, salary data, interview experiences, and culture signals. Returns ratings breakdown, top pro / con quotes, salary ranges by role and level, and an interview-process summary — useful for job research, sales personalization, and competitive talent analysis.
Scrape App Store (iOS) and Google Play reviews for any app and extract pain points, praise, feature requests, churn signals, and competitor mentions. Returns a rating distribution, themed quote clusters, and a ranked feature request list grounded in real user language.
Company discovery and deep research skill. Researches a company's product and ICP, discovers target companies to sell to using Browserbase Search API, deeply researches each using a Plan→Research→Synthesize pattern, and scores ICP fit — compiled into a scored research report and CSV. Supports depth modes (quick/deep/deeper) for balancing scale vs intelligence. Use when the user wants to: (1) find companies to sell to, (2) research potential customers, (3) discover companies matching an ICP, (4) build a target company list, (5) do market research on prospects. Triggers: "find companies to sell to", "company research", "find prospects", "ICP research", "target companies", "who should we sell to", "market research", "lead research", "prospect list".
Auto-register or RSVP to events on Lu.ma, Eventbrite, Meetup, Hopin, and custom event sites — given an event URL and an attendee profile, the skill drives a real cloud browser to fill the registration form, answer screener questions from a saved profile, and stop before final submit for human confirmation. Tracks RSVPs to a local pipeline. Useful for hackathons, meetups, conferences, and product launches.
Monitor GitHub repositories — stars, forks, issues, PRs, contributors, releases, and commit cadence — and produce a project-health snapshot with trend signals (active / declining / stale). Useful for OSS competitive intel, dependency due-diligence, and researching a company's engineering output.
Surface top Hacker News threads on a topic and extract the high-signal comments. Finds Show HN, Ask HN, and news discussions, sorts by score, pulls top comments, and clusters them by sentiment (positive / skeptical / critical) with linked alternatives mentioned in the thread.
Auto-fill job applications across Greenhouse, Lever, Ashby, Workday, and custom company forms — given a candidate profile JSON (name, contact, resume URL, work history, links) and a job posting URL, the skill drives a real cloud browser to fill every visible field, attach the resume, and pause for human confirmation before final submit. Companion to `job-tracker` (which finds the roles).
| name | glassdoor-analyzer |
| description | Scrape Glassdoor for company reviews, salary data, interview experiences, and culture signals. Returns ratings breakdown, top pro / con quotes, salary ranges by role and level, and an interview-process summary — useful for job research, sales personalization, and competitive talent analysis. |
| when_to_use | "glassdoor reviews for", "what's it like to work at", "company culture at", "salary data for", "interview process at", "employee sentiment at". |
| license | MIT |
| compatibility | Requires the `composio` CLI on PATH. Connect with `composio link browser_tool` (interactive cloud browser) and `composio link composio_search` (web search and URL fetch). |
| allowed-tools | Bash Agent |
Scrape Glassdoor for company reviews, salary data, interview experiences, and culture signals. Glassdoor has aggressive bot detection — always run via the cloud browser.
Output directory: ~/Desktop/{slug}_glassdoor_{YYYY-MM-DD}/
Run each step as a separate goal-driven task. Capture the watch-task id from BROWSER_TOOL_CREATE_TASK and poll BROWSER_TOOL_WATCH_TASK for the output. If a task hits a CAPTCHA or login wall, stop the task and split the goal smaller.
composio execute COMPOSIO_SEARCH_WEB -d '{ "query": "site:glassdoor.com {COMPANY_NAME} reviews" }'
# Pick the URL of the form: glassdoor.com/Reviews/{company}-Reviews-{ID}.htm
composio execute BROWSER_TOOL_CREATE_TASK -d '{
"task": "Capture: overall rating; the five sub-ratings (Culture & Values, Work/Life Balance, Senior Management, Compensation & Benefits, Career Opportunities); CEO approval %; Recommend-to-friend %. Then sort reviews by Most Recent and capture the latest 30 reviews — each as { title, rating, pros, cons, role, date }. Stop when 30 are captured or the page stops loading more.",
"startUrl": "https://www.glassdoor.com/Reviews/{COMPANY_SLUG}-Reviews-{ID}.htm"
}'
composio execute BROWSER_TOOL_CREATE_TASK -d '{
"task": "Extract every visible role with its level (junior/mid/senior/staff if shown), low/median/high salary, and total comp if shown. Return a JSON array.",
"startUrl": "https://www.glassdoor.com/Salary/{COMPANY_SLUG}-Salaries-{ID}.htm"
}'
composio execute BROWSER_TOOL_CREATE_TASK -d '{
"task": "Capture: difficulty rating, offer rate, average process length, and the 15 most upvoted interview questions with the role they apply to.",
"startUrl": "https://www.glassdoor.com/Interview/{COMPANY_SLUG}-Interview-Questions-{ID}.htm"
}'
---
company: {Name}
glassdoor_url: {URL}
overall_rating: {N}/5
total_reviews: {N}
researched_at: {ISO date}
---
## Ratings Breakdown
| Category | Score |
|----------|-------|
| Culture & Values | {N}/5 |
| Work/Life Balance | {N}/5 |
| Senior Management | {N}/5 |
| Compensation & Benefits | {N}/5 |
| Career Opportunities | {N}/5 |
**CEO Approval**: {N}%
**Recommend to Friend**: {N}%
## Top Pros (What Employees Love)
- "{Pro quote}" — {role}, {date}
- "{Pro quote}" — {role}, {date}
## Top Cons (Pain Points)
- "{Con quote}" — {role}, {date}
- "{Con quote}" — {role}, {date}
## Salary Ranges
| Role | Level | Salary Range |
|------|-------|-------------|
| Software Engineer | Senior | ${min}K – ${max}K |
| Product Manager | Mid | ${min}K – ${max}K |
## Interview Insights
- **Difficulty**: {Easy/Medium/Hard} ({N}% rating)
- **Process**: {description of stages}
- **Common Questions**:
- "{question}"
- "{question}"
## Culture Signals
| Signal | Finding |
|--------|---------|
| Management quality | {assessment} |
| Engineering culture | {assessment} |
| Remote/hybrid | {policy} |
| Growth opportunities | {assessment} |