Official agent skill

Apify Easy Competitive Intelligence

by apify in apify/awesome-skills

This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring…

OfficialApache-2.0Auto-check: notesMarketing & SEO

Install Apify Easy Competitive Intelligence

skills CLI
$ npx skills add apify/awesome-skills --skill apify-easy-competitive-intelligence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install apify/awesome-skills apify-easy-competitive-intelligence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/apify/awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/apify-easy-competitive-intelligence .claude/skills/apify-easy-competitive-intelligence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
apify-easy-competitive-intelligence
GitHub stars
262
Token cost
~2.5k tokens
SKILL.md length
956 words
Files
11
Skills in repo
26
Repo updated
First seen
Licence
Apache-2.0

At a glance

This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring…

  • Works in 3 steps: OAuth (interactive): apify login (opens… → Environment variable: export… → From .env file: source .env (if the file…
  • Asks to analyze a competitor
  • SKILL.md covers Prerequisites, Authentication, Actor Registry and Core Workflow, plus 3 more sections
  • Calls jq, npm and python3; needs APIFY_TOKEN

What it does

Apify Easy Competitive Intelligence is an agent skill from apify/awesome-skills, published by the product's own GitHub organization. This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files (for example `reference/actor-schemas.md`, `reference/modules/competitor-snapshot.md` and `reference/modules/content-seo.md`).

It sits in Marketing & SEO, covering Competitor analysis and Web scraping. It works with Apify and Model Context Protocol. The repository describes itself as: Community collection of Apify agent skills for AI coding assistants. The licence is Apache-2.0.

When your agent uses it

  • Asks to analyze a competitor
  • Compare pricing
  • Competitive landscape
  • Market research

Example prompts

  • “analyze a competitor”
  • “compare pricing”
  • “competitive landscape”
  • “/apify-easy-competitive-intelligence”

Requirements

  • Python 3
  • Node.js
  • A credential in APIFY_TOKEN

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. OAuth (interactive): apify login (opens browser)
  2. Environment variable: export APIFY_TOKEN=your_token_here
  3. From .env file: source .env (if the file contains APIFY_TOKEN=...)

What it can do on your machine

Read from SKILL.md and the folder at commit 1eb0cd0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • npm
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • console.apify.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APIFY_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Apify Easy Competitive Intelligence loads about 2.5k tokens when it runs. Until then it costs about 161 tokens; SKILL.md has 956 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~161
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:46
    3. **From .env file:** `source .env` (if the file contains `APIFY_TOKEN=...`)

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from apify/awesome-skills at commit 1eb0cd0, republished under its Apache-2.0 licence (© apify). 956 words, ~2,504 tokens.

Download SKILL.mdSave it as .claude/skills/apify-easy-competitive-intelligence/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
apify-easy-competitive-intelligence
description
This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison, customer sentiment, or market landscape research. Requires Apify CLI or Apify MCP server.
author
chocholous
author_url
https://github.com/chocholous
metadata.keywords
competitive-intelligence, battlecard, pricing, reviews, hiring, seo, market-landscape, g2, capterra, glassdoor, linkedin, crunchbase, similarweb, swot…

Competitive Intelligence

Real-time competitive intelligence powered by live web data via Apify actors. Never answer competitive questions from training knowledge alone. Always gather live data first, then analyze.

Prerequisites

  • Apify CLI v1.5.0+ (npm install -g apify-cli), or Apify MCP server
  • Authenticated session (apify login or APIFY_TOKEN env var)

CLI rules: Always pass --json, --user-agent apify-awesome-skills/apify-easy-competitive-intelligence, and 2>/dev/null.

  • Run actor: apify actors call "ACTOR_ID" -i 'INPUT' --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --json 2>/dev/null → returns run metadata with defaultDatasetId
  • Fetch results: apify datasets get-items DATASET_ID --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --format json > /tmp/results.json 2>/dev/null — save locally, parse from file:
    • Quick extraction: jq '.[] | "\(.field1) | \(.field2)"' /tmp/results.json
    • Aggregation: python3 -c "import json; d=json.load(open('/tmp/results.json')); ..."
    • Tabular: --format csv > /tmp/results.csv + python3 with csv.DictReader
    • Flags: --limit N, --offset N, --format json|jsonl|csv|xlsx|xml
    • Output fields: apify datasets info DATASET_ID --json | jq .fields
  • Fetch schema: apify actors info "ACTOR_ID" --input --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --json 2>/dev/null

If CLI is unavailable and Apify MCP server is connected, use MCP call-actor / fetch-actor-details / get-actor-output directly.

Authentication

If a CLI command fails with an auth error, authenticate using one of these methods:

  1. OAuth (interactive): apify login (opens browser)
  2. Environment variable: export APIFY_TOKEN=your_token_here
  3. From .env file: source .env (if the file contains APIFY_TOKEN=...)

Generate token: https://console.apify.com/settings/integrations

Actor Registry

Every actor call follows three steps:

  1. Read — find the actor's section in reference/actor-schemas.md. Use the exact verified input and follow the "How to find" instructions for URLs/slugs.
  2. Discover — verify platform URLs and slugs (e.g. via SERP) as described in the actor's schema section. Do not guess — wrong slugs silently return empty or wrong data.
  3. Run — call the actor with verified input.

Alternatively, fetch the live schema: apify actors info "ACTOR_ID" --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --input --json 2>/dev/null

Data NeedActorNotes
Google SERPapify/google-search-scraperSupports country/language. SERP snippets contain ratings & review counts
Page scrapeapify/website-content-crawlerproxyConfiguration REQUIRED. Returns markdown
RAG browseapify/rag-web-browserSearch + scrape in one call. Good fallback
LinkedIn companydev_fusion/Linkedin-Company-ScraperOutput in KV store, not dataset
LinkedIn jobscurious_coder/linkedin-jobs-scraperRequires LinkedIn search URL, NOT keywords
Crunchbasepratikdani/crunchbase-companies-scraperSingle company URL per call
Amazon productjunglee/Amazon-crawlerProduct or category URLs
Amazon reviewsweb_wanderer/amazon-reviews-extractorMay return 0 for some products
Walmart producte-commerce/walmart-product-detail-scraperMay return empty
Google Maps reviewscompass/Google-Maps-Reviews-ScraperUse full Google Maps place URL
G2 reviewsautomation-lab/g2-scraperNPS, ratings, switching data. $0.04/run
Capterra reviewszen-studio/capterra-reviews-scraper$1.99/1K
Gartner Peer Insights—No working actor. Use SERP snippet mining as fallback
Glassdoormemo23/glassdoor-scraper-pprReviews, salaries, culture, ratings
Redditharshmaur/reddit-scraperPosts + full comment threads
Google Play reviewsneatrat/google-play-store-reviews-scraperApp ID or Play Store URL
App Storejdtpnjtp/apple-app-store-scraperRequires SHADER proxy — may not be available on all plans
SimilarWebpro100chok/similarweb-scraperMinimum 10 domains per call
Google Newsdata_xplorer/google-news-scraper-fastNo boolean operators in keywords
Wayback Machineandok/wayback-machine-scraperFull URL including path

Core Workflow

Step 0: Understand the User (once, at start)

Clarify before gathering data:

  • Role — Analyzed company, competitor, investor, consultant?
  • Decision — Entering market, defending position, choosing vendor, building battlecard?
  • Autonomy — Checkpoints after initial findings, or autopilot?
Steps 1–7
  1. Clarify scope — Identify competitors. Select module(s). Default geography: US.
  2. Read module reference — Load reference/modules/<module>.md for gathering + analysis instructions.
  3. Gather live data — For each actor call, follow the three-step pattern: Read (actor-schemas.md) → Discover (SERP for URLs) → Run (call actor). Use PRIMARILY actors from the Actor Registry above.
  4. Checkpoint (if not autopilot) — Present first findings, confirm direction.
  5. Analyze — Select framework, lead with narrative, support with tables.
  6. Verify — Run pre-delivery verification (reference/verification-checklist.md). Check: every claim has a source URL, every major finding has a confidence label, inferences are labeled as such. Remove any ungrounded claims.
  7. Deliver — End with strategic recommendations framed for the user's role.
Show full SKILL.md (364 more words)Show less
Framework Selection
SituationFramework
Profile one competitorSWOT
Market dynamics & forcesPorter's Five Forces
Visual position comparisonStrategy Canvas (Blue Ocean)
Why customers switchJobs-to-be-Done
Find white spacePositioning Matrix (2x2)
Predict competitor reactionCompetitive Response Matrix

Data Collection Rules

  • Prefer structured actors over website-content-crawler when a dedicated actor exists.
  • Cost budget — 3-8 actor calls per snapshot. Track total, warn at 15+.
  • Parallelize independent call-actor calls in a single response.
  • Failures — Report every failure explicitly (actor, input, error). Retry with corrected input if the cause is obvious. If retry fails, try rag-web-browser as fallback. Never silently skip a failed data source.
  • Cite everything — Include source URLs for every data point.
  • Async for long runs — Set async: true for actors >30s, poll with get-actor-run.
  • Protected platforms — Do NOT use website-content-crawler or rag-web-browser for: g2.com, capterra.com, gartner.com, glassdoor.com, reddit.com, linkedin.com. Use dedicated actors.
Apify vs. WebSearch

Apify required: review sites (G2, Capterra, Gartner, Glassdoor), LinkedIn, Reddit, Amazon, Walmart, app stores, SimilarWeb, Crunchbase, Wayback Machine, Google Maps reviews, news (Google News actor).

WebSearch/WebFetch sufficient (Claude Code built-in tools): competitor discovery, general company info, blog posts, publicly accessible pricing pages.

Data Validation & Grounding

  • Every factual claim needs a source URL. No link = not a fact.
  • Confidence labels are mandatory. Mark every major finding: High (primary source), Medium (2+ third-party sources), Low (single third-party source). Format: [Confidence | Source]. No report without labels.
  • Data tiers: Verified (primary source) → Reported (third-party, attribute) → Inferred (label as "this suggests...") → Ungrounded (omit).
  • Numbers are dangerous — employee counts, revenue, funding change fast. Always cite source and date.
  • Empty results ARE intelligence — 0 jobs = not hiring, 0 SimilarWeb = small site, 12 reviews = low adoption.
  • Cross-reference — Single-source claims are unverified. Multi-source (G2 + Capterra + Reddit) = pattern.

Module Selection

User says...ModuleReference
"Analyze [competitor]", "Tell me about [company]"Competitor Snapshotreference/modules/competitor-snapshot.md
"Compare pricing", "How much does [X] cost"Pricing Intelligencereference/modules/pricing-intelligence.md
"Pricing details", "per-use-case costs", "tiers", "add-ons"Pricing Deep Divereference/modules/pricing-deep-dive.md
"What do customers think", "Reviews", "Pain points"Review Intelligencereference/modules/review-intelligence.md
"What are they hiring for", "Job postings"Hiring Signalsreference/modules/hiring-signals.md
"How do they rank", "Content strategy", "SEO"Content & SEOreference/modules/content-seo.md
"Who are the players", "Market landscape"Market Landscapereference/modules/market-landscape.md
"Full battlecard", "Deep analysis", "Board prep"Multi-Modulereference/multi-module-playbook.md

© apify, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files in skills/apify-easy-competitive-intelligence of apify/awesome-skills.

  • SKILL.md
  • reference/actor-schemas.md
  • reference/modules/competitor-snapshot.md
  • reference/modules/content-seo.md
  • reference/modules/hiring-signals.md
  • reference/modules/market-landscape.md
  • reference/modules/pricing-deep-dive.md
  • reference/modules/pricing-intelligence.md
  • reference/modules/review-intelligence.md
  • reference/multi-module-playbook.md
  • reference/verification-checklist.md

Open the folder on GitHubat commit 1eb0cd0

Compare with similar skills

Apify Easy Competitive Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Apify Easy Competitive Intelligence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Apify Easy Competitive Intelligence this skillapify/awesome-skills262—~2.5kAutomated safety check: NotesApache-2.0
SEO DataforseoAgriciDaniel/codex-seo7872 repos~4.6kAutomated safety check: PassMIT
SEO Content Auditgooseworks-ai/goose-skills1.2k1 repos~2.8kAutomated safety check: PassMIT
SEO Dataforseohashgraph-online/awesome-codex-plugins1.2k—~4.5kAutomated safety check: NotesMIT
Apify Multi-Platform Scraperapify/agent-skills2.4k2 repos~1.4kAutomated safety check: NotesNone
Competitor ProfilingNexus-JPF/note-companion8693 repos~3.5kAutomated safety check: PassMIT

Similar skills

  • SEO Dataforseo

    AgriciDaniel/codex-seo

    Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.

    787 GitHub starsUsed in 2 repos~4.6k tokens
    Marketing & SEOAuto-check passed
  • SEO Content Audit

    gooseworks-ai/goose-skills

    Comprehensive SEO footprint analysis. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~2.8k tokens
    Marketing & SEOAuto-check passed
  • SEO Dataforseo

    hashgraph-online/awesome-codex-plugins

    Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.2k GitHub stars~4.5k tokensUpdated today
    Marketing & SEOAuto-check: notes
  • Official

    Scrapes public data from social, maps, search and review platforms by choosing from about a hundred Apify Actors and running them through the Apify CLI.

    2.4k GitHub starsUsed in 2 repos~1.4k tokens
    Data & AnalyticsAuto-check: notes
  • Competitor Profiling

    Nexus-JPF/note-companion

    When the user wants to research, profile, or analyze competitors from their URLs.

    869 GitHub starsUsed in 3 repos~3.5k tokens
    Marketing & SEOAuto-check passed
  • DataForSEO Live SEO Data

    AgriciDaniel/claude-seo

    Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.

    18k GitHub stars~4.4k tokensUpdated 2 days ago
    Marketing & SEOAuto-check passed

More from apify/awesome-skills

All 26 skills in this repo
  • Apify Buying Signal Detection

    apify/awesome-skills

    Official

    Set up a recurring buying-signal detection pipeline that finds companies showing buying intent across three signal types — job postings (hiring for the persona), fundraising events (recent raises)…

    262 GitHub stars~5.1k tokensUpdated 14 days ago
    Auto-check: notes
  • Apify Product Data Setup

    apify/awesome-skills

    Official

    Wire an AI agent to live e-commerce product data using Apify's E-commerce Scraping Tool over MCP, either as runtime tool calls or as a scheduled refresh into a vector store.

    262 GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Apify Lead Scoring Enrichment

    apify/awesome-skills

    Official

    Score and enrich a CSV of B2B leads using Apify Actors. An agent skill from apify/awesome-skills.

    262 GitHub stars~4.4k tokensUpdated 14 days ago
    Auto-check: notes
  • Apify App Store Intelligence

    apify/awesome-skills

    Official

    Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it for changes over time.

    262 GitHub stars~3.5k tokensUpdated 14 days ago
    Auto-check passed
  • Apify Ashby Jobs Scraper

    apify/awesome-skills

    Official

    Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper).

    262 GitHub stars~3.7k tokensUpdated 14 days ago
    Auto-check passed
  • Apify Company Data API

    apify/awesome-skills

    Official

    Pull structured B2B company data from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api).

    262 GitHub stars~2.8k tokensUpdated 14 days ago
    Auto-check passed

Categories

Questions about Apify Easy Competitive Intelligence

What does Apify Easy Competitive Intelligence do?

This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring…. Apify Easy Competitive Intelligence is an agent skill from apify/awesome-skills, published by the product's own GitHub organization.

When should I use Apify Easy Competitive Intelligence?

Apify Easy Competitive Intelligence fits situations like: asks to analyze a competitor; compare pricing; competitive landscape; market research.

How do I install Apify Easy Competitive Intelligence in Claude Code?

Run `npx skills add apify/awesome-skills --skill apify-easy-competitive-intelligence -a claude-code`. Or copy the skill folder (skills/apify-easy-competitive-intelligence in apify/awesome-skills) into .claude/skills/apify-easy-competitive-intelligence in your project. Claude Code loads it when a task matches its description.

How do I install Apify Easy Competitive Intelligence in Codex?

Run `npx skills add apify/awesome-skills --skill apify-easy-competitive-intelligence -a codex`. Or copy the skill folder (skills/apify-easy-competitive-intelligence in apify/awesome-skills) into .agents/skills/apify-easy-competitive-intelligence in your project. Codex loads it when a task matches its description.

Can I use Apify Easy Competitive Intelligence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add apify/awesome-skills --skill apify-easy-competitive-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apify-easy-competitive-intelligence, .gemini/skills/apify-easy-competitive-intelligence, .github/skills/apify-easy-competitive-intelligence and .opencode/skills/apify-easy-competitive-intelligence in your project.

What does Apify Easy Competitive Intelligence need to run?

Going by SKILL.md and its folder, Apify Easy Competitive Intelligence needs the command-line tools its instructions call (jq, npm and python3) and credentials named APIFY_TOKEN. Our summary lists: Python 3; Node.js; A credential in APIFY_TOKEN.

Does Apify Easy Competitive Intelligence access the network?

SKILL.md names 1 domain. As links in the text: console.apify.com. This is read from the text; nothing was executed.

Is Apify Easy Competitive Intelligence safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Apify Easy Competitive Intelligence use?

Apify Easy Competitive Intelligence is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Apify Easy Competitive Intelligence use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Apify Easy Competitive Intelligence?

Skills that share tags, products or a category with Apify Easy Competitive Intelligence: SEO Dataforseo (AgriciDaniel/codex-seo, 787 stars), SEO Content Audit (gooseworks-ai/goose-skills, 1.2k stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.2k stars) and Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apify Easy Competitive Intelligence?

apify (a GitHub organization, an official publisher) maintains it in apify/awesome-skills, which has 262 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 22, 2026.

Source: apify/awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.