/interview-prep

name: interview-prep
description: >
  Generate a structured interview preparation guide for any company by scraping real candidate
  experiences from Glassdoor, Blind, and Reddit in real time using parallel TinyFish agents.
  Use this skill whenever a user mentions preparing for an interview at a specific company,
  wants to know what a company's interview process is like, asks "what questions does X ask",
  "how hard is X's interview", "what should I prepare for X", "X interview experience",
  or any variation of wanting to know what actually happens in interviews at a named company.
  Returns a structured prep guide: most frequent topics, real questions that came up, actual
  difficulty level, what candidates wish they had studied, and role-specific patterns.
compatibility:
  tools: [tinyfish]
metadata:
  author: tinyfish-community
  version: "1.0"
  tags: interview preparation job-search glassdoor blind reddit career

Interview Prep Guide Generator

Given a company name (and optionally a role), scrape real interview experiences from Glassdoor, Blind, and Reddit simultaneously — extract repeated questions, identify patterns, and return a structured prep guide based on what actually happens in the room.

Pre-flight check

tinyfish --version
tinyfish auth status

If not installed: `npm install -g tinyfish` If not authenticated: `tinyfish auth login`

---

Step 1 — Clarify inputs

You need:

• **Company name** — e.g. "Google", "Stripe", "Citadel"
• **Role** (optional but improves results) — e.g. "software engineer", "data scientist", "backend engineer"

If the user hasn't provided a role, default to "software engineer" and mention it in the output.

---

Step 2 — Parallel scraping

Run all three agents simultaneously. Each lands directly on a results page — no unnecessary navigation.

**Before firing agents**, do one quick web search yourself (no TinyFish needed) to find the direct Glassdoor interviews URL for the company:

Search: `site:glassdoor.com "{COMPANY_NAME}" interview questions`

Take the first result URL that looks like: `https://www.glassdoor.com/Interview/{Slug}-Interview-Questions-E{ID}.htm`

Use that exact URL in Agent 1 below. If you cannot find it, fall back to: `https://www.glassdoor.com/Interview/{COMPANY_NAME_ENCODED}-Interview-Questions.htm`

# Agent 1 — Glassdoor interview reviews (land directly on interviews page)
tinyfish agent run \
  --url "{GLASSDOOR_INTERVIEWS_URL}?filter.jobTitleExact={ROLE_ENCODED}" \
  "You are on a Glassdoor interview reviews page for {COMPANY_NAME}, filtered to {ROLE}.
   Read the first 5 visible interview cards only. Do NOT scroll. Do NOT click any card.
   From the preview text of each card extract:
   - Role title
   - Interview difficulty (Easy / Medium / Hard / Very Hard)
   - Outcome (Got offer / No offer / Declined)
   - Interview questions verbatim
   - Topics mentioned (dynamic programming, system design, behavioural, etc.)
   - Any tips or regrets
   STRICT RULES:
   - 5 cards maximum — stop immediately after the 5th
   - Do NOT click any card, do NOT paginate, do NOT scroll
   - If the page asks you to sign in, return an empty array immediately
   Return JSON array: [{role, difficulty, outcome, questions: [...], topics: [...], tips: [...]}]" \
  --sync --browser-profile stealth > /tmp/ip_glassdoor.json &

# Agent 2 — Blind interview discussions
tinyfish agent run \
  --url "https://www.teamblind.com/search/{COMPANY_NAME_ENCODED}%20interview" \
  "You are on Blind search results for '{COMPANY_NAME} interview'.
   Read the post titles and preview text visible on this page.
   Extract from the visible content:
   - Any specific interview questions mentioned in titles or previews
   - Topics that appear frequently (e.g. system design, LC hard, SQL, coding rounds)
   - Difficulty signals (e.g. 'brutal', 'straightforward', 'multiple rounds')
   - Role types mentioned
   STRICT RULES:
   - Do NOT click any post to open it
   - Do NOT scroll more than twice
   - Do NOT navigate away from this page
   - Read only what is visible in post titles and preview snippets
   Return JSON: {questions: [...], topics: [...], difficulty_signals: [...], roles_mentioned: [...], tips: []}" \
  --sync --browser-profile stealth > /tmp/ip_blind.json &

# Agent 3 — Reddit interview experiences
tinyfish agent run \
  --url "https://www.reddit.com/search/?q={COMPANY_NAME_ENCODED}+{ROLE_ENCODED}+interview+experience&sort=relevance&t=month&type=link" \
  "You are on Reddit search results for '{COMPANY_NAME} {ROLE} interview experience'.
   Read the post titles and snippet text visible in the search results — do not click anything.
   Extract:
   - Interview questions mentioned directly in titles or snippets
   - Topics that appear across multiple posts (system design, behavioural, OOP, etc.)
   - Difficulty language used
   - Rounds mentioned (phone screen, onsite, take-home, etc.)
   STRICT RULES:
   - Click a post ONLY if its title explicitly says 'interview questions' or 'prep guide' — max 2 clicks total
   - On any clicked post: read only the top-level post text, skip all comments, do NOT scroll
   - Do NOT paginate
   - Stop after reading 10 result snippets
   Return JSON: {questions: [...], topics: [...], rounds: [...], difficulty_signals: [...], tips: []}" \
  --sync --browser-profile stealth > /tmp/ip_reddit.json &

# Wait for all three to complete
wait

echo "=== GLASSDOOR ===" && cat /tmp/ip_glassdoor.json
echo "=== BLIND ===" && cat /tmp/ip_blind.json
echo "=== REDDIT ===" && cat /tmp/ip_reddit.json

**Before running**, replace:

• `{COMPANY_NAME}` — full company name e.g. `Google`
• `{COMPANY_NAME_ENCODED}` — URL-encoded e.g. `Google`, `Jane%20Street`
• `{ROLE}` — role name e.g. `Software Engineer`
• `{ROLE_ENCODED}` — URL-encoded role e.g. `Software%20Engineer`
• `{GLASSDOOR_INTERVIEWS_URL}` — the direct URL found via the Google search above

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Step 3 — Consolidate and analyse

From the three result se