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Claude: guides & tutorials

Claude API turns crawl dumps into schemas, summaries, and actions. Pair with Apify for consistent labeling before warehouses or vector DBs.

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Anthropic's Claude API turns crawl dumps into schemas, summaries, and structured actions through long-context reasoning and tool use. These guides cover using Claude to parse and label scraped pages consistently.

Claude's large context window suits whole-page extraction and multi-document synthesis before data lands in a warehouse or vector DB. Apify datasets keep the inputs auditable. Below you will find patterns for pairing Claude with extraction pipelines.

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Claude4 min read

Claude Cowork Scheduled Tasks: Web-Data Digests on Autopilot (2026)

· 4 min read
Yassine El Haddad
Software Developer & Automation Specialist
Quick Answer

Claude Cowork can run a task on a schedule (hourly, daily, weekly, or weekdays) and it runs even when your computer is asleep. Pair that with an Apify scraper and you get a recurring web-data digest, a morning price check or a weekly review report, delivered without you doing anything.

Most scraping guides stop at the one-off run. The real leverage is recurring data: the prices, reviews, and listings that change while you are not watching. Cowork's scheduled tasks turn a single scrape into a standing job.

Claude6 min read

Build a Claude Skill for Web Scraping (Calls Apify Actors) (2026)

· 6 min read
Yassine El Haddad
Software Developer & Automation Specialist
Quick Answer

A Claude Skill is a SKILL.md folder that packages instructions Claude loads automatically when relevant. Build one that tells Claude to run Apify Actors for scraping, and every future "get me this web data" request just works. Or install the official Apify Claude Code plugin, which ships five ready-made skills.

Agent Skills are modular capabilities that extend Claude: each Skill packages instructions, metadata, and optional resources that Claude uses automatically when they are relevant to your request. Instead of re-explaining how you like to scrape every time, you encode it once, and Claude reaches for it on its own.

This guide builds a scraping skill that calls Apify, and points you at the official plugin if you would rather not start from scratch.

Claude5 min read

Claude Cowork vs Claude Code: Which for Web Data and Automation? (2026)

· 5 min read
Yassine El Haddad
Software Developer & Automation Specialist
Quick Answer

Claude Code and Claude Cowork run on the same engine, but they are built for different people. Use Cowork to delegate knowledge work (research, analysis, reports) with no terminal, and Code to build software in your project. For web data, both can call Apify Actors: pick Cowork to run scrapers and get a spreadsheet, Code to build and automate a data pipeline.

Anthropic ships both Claude Code and Claude Cowork on the same agentic architecture, which confuses a lot of people into thinking they overlap. They do not. The difference is who each is for and where it runs.

Claude6 min read

Scrape Websites into a Spreadsheet with Claude Cowork + Apify (2026)

· 6 min read
Yassine El Haddad
Software Developer & Automation Specialist
Quick Answer

Connect Apify's remote MCP server (https://mcp.apify.com) to Claude Cowork as a custom connector, then ask Cowork in plain language to scrape a site. Cowork picks the right Apify Actor, runs it, and hands you the data to export as a spreadsheet, no code.

Claude Cowork is Anthropic's "hand Claude real work" surface: it runs on the same agentic engine as Claude Code but with no terminal, so it can take on multi-step tasks and finish them for you. Cowork can already search the web and, with computer use, drive a browser a page at a time. What it has no answer for is bulk structured extraction: paginating a result grid, holding a schema across thousands of rows, rotating proxies, and surviving anti-bot defences. That is exactly what Apify adds: a store of pre-built scrapers Cowork can call as tools.

This guide connects the two and turns "get me this web data" into a spreadsheet, with no code.

Create a free Apify account (free monthly credits) →

AI19 min read

Claude vs Gemini for Excel and Google Sheets (2026)

· 19 min read
Yassine El Haddad
Software Developer & Automation Specialist

Both Claude and Gemini can open your spreadsheet and answer questions about it. That is where the similarity ends.

Claude dissects complex, multi-sheet financial models and catches errors a human auditor might miss. Gemini lives inside Google Sheets natively and can fill entire columns with AI-generated data using a single formula. They are solving different problems, and choosing the wrong one for your workflow will cost you hours.

This comparison is based on official documentation from Anthropic and Google (verified May 2026), published benchmarks, and hands-on testing patterns reported across analyst and developer communities. No vendor-supplied claims are taken at face value.

Quick verdict:

Use caseWinnerWhy
Complex multi-sheet financial analysisClaudeCatches formula errors across tabs; deep reasoning on relationships
Native Google Sheets workflowGeminiBuilt-in side panel, =AI() formula, no file upload needed
Large dataset (100K+ rows)Tie / dependsClaude Opus 4.7 & Sonnet 4.6 also offer 1M tokens on the API; legacy Sonnet 4 / Opus 4 remain 200K. Gemini still wins on native Sheets + =AI() at scale.
Formula accuracy and error detectionClaudeThird-party aggregators report higher AIME-style scores for Claude vs Gemini (see benchmark table; not official vendor numbers).
API cost for bulk processingGeminiOften cheaper per token vs legacy Claude Opus 4; gap narrows vs Claude Opus 4.7 (~4× on input vs ~12× vs Opus 4)
ODT and mixed document formatsClaudeNative ODT support; Gemini does not parse ODT
Offline / air-gapped analysisNeitherBoth require cloud API calls
MCP11 min read

Top 10 MCP Servers for Marketing, Prospecting & Business Growth (2026)

· 11 min read
Yassine El Haddad
Software Developer & Automation Specialist

Model Context Protocol (MCP) servers extend Claude Desktop and Claude Code with live access to external tools: Customer Relationship Management (CRM) data, web scraping, email, spreadsheets, and more. For marketing and sales teams, the right MCP server combination turns Claude into a research assistant, CRM manager, and content producer, all from a chat interface.

This guide covers 10 high-impact MCP servers for non-engineering business functions, with installation instructions and real-world usage examples. If you do not have a Claude account yet, you can try Claude free for a week and set these up the same day.

TL;DR:

#MCP ServerBusiness functionBest for
1ApifyWeb scraping, lead dataMarket research, lead gen, competitive intel
2HubSpotCRM operationsContact management, deal tracking
3Google SheetsReporting, data managementFinancial reports, metrics dashboards
4GmailEmail operationsOutreach, follow-ups, support
5SlackTeam communicationAlerts, summaries, reporting
6Brave SearchWeb searchMarket research, trend analysis
7Google DriveDocument managementContracts, proposals, shared docs
8NotionKnowledge managementWikis, project tracking, meeting notes
9StripePayment operationsRevenue tracking, customer billing
10Google CalendarSchedulingMeeting prep, availability, follow-ups

Prerequisites:

  • Claude Desktop installed (download)
  • MCP works on Claude Free with usage limits; Claude Pro (~$20/mo) raises limits for heavier business use
  • Budget 15+ minutes per server (OAuth / Google Cloud setup often takes longer than API-key-only servers)
Claude12 min read

Top 10 Claude Code Skills for Marketing, Prospecting & Business Growth (2026)

· 12 min read
Yassine El Haddad
Software Developer & Automation Specialist

Claude Code's Skills system turns it from a coding assistant into a configurable business operations agent. Skills are sharable instruction packages (Markdown files with scripts, templates, and evaluation criteria, invoked as slash commands) that you install in your project's .claude/skills/ directory. New to the tool? You can try Claude free for a week before committing to a paid plan.

This guide covers the 10 most impactful skills for marketing, prospecting, and business growth. Skills 1–5 include complete, ready-to-install SKILL.md files. Skills 6–10 are quick-reference starters, so expand them with your own guardrails and output formats before using in production.

TL;DR:

#SkillBusiness use caseSetup time
1SEO AuditTechnical SEO analysis and opportunity identification10 min
2Lead ResearcherResearch and enrich prospect companies10 min
3Content PipelineResearch → draft → format content15 min
4Competitor AnalyzerTrack competitor moves and changes10 min
5Email DrafterPersonalized outreach and follow-ups10 min
6Customer Relationship Management (CRM) EnrichmentEnrich CRM contacts with web data10 min
7Financial ReporterWeekly/monthly financial summaries10 min
8Social Media ManagerDraft platform-optimized posts10 min
9Brand Mention MonitorTrack brand mentions and sentiment10 min
10Compliance CheckerReview content for regulatory issues10 min

Prerequisites:

  • Claude Code installed (curl -fsSL https://claude.ai/install.sh | bash on macOS/Linux/WSL, or irm https://claude.ai/install.ps1 | iex in Windows PowerShell) with a paid Claude Pro ($20/mo) or Claude Max (from $100/mo: 5x plan at $100, 20x plan at $200; see anthropic.com/pricing)
  • Model Context Protocol (MCP) servers configured (Apify, Google Sheets), as needed per skill. Six of the ten skills below call the Apify MCP server for web data, so set that one up first: see connect Apify to Claude Desktop.
AI11 min read

Vibe Coding with Claude Code: Build and Ship a SaaS MVP in a Weekend

· 11 min read
Yassine El Haddad
Software Developer & Automation Specialist

Andrej Karpathy coined "vibe coding" in early 2025 — the practice of describing what you want to an AI and letting it generate the code, barely reading the output, and just running it until it works. By April 2026, developers are using Claude Code to go from idea to deployed, revenue-ready SaaS MVP in days, not months.

This guide provides the practical framework: what actually works, what breaks, and the phase-by-phase approach that turns "vibes" into a product people pay for.

TL;DR:

PhaseTimeWhat you ship
1. Spec + CLAUDE.md2 hoursArchitecture decision, tech stack, project structure
2. Core features6–8 hoursAuth, database, API routes, basic UI
3. AI features3–4 hoursApify scraping + LLM processing
4. Testing + deploy2–3 hoursVercel/Railway deployment, domain, SSL
5. Marketing page2 hoursLanding page with value prop and signup
Total15–19 hoursDeployed MVP with AI features

Prerequisites:

  • Claude Code installed with Claude Pro ($20/mo) or Max ($100/mo)
  • GitHub account
  • Vercel account (free tier)
  • Supabase account (free tier)
  • Comfortable reading and editing code (TypeScript/JavaScript), working with CLI tools, and following API documentation. You don't need to write complex algorithms from scratch — Claude Code handles most generation — but you should be able to review and adjust the code it produces.
Claude11 min read

How Claude Desktop + MCP Replaces 5 SaaS Tools for Small Teams

· 11 min read
Yassine El Haddad
Software Developer & Automation Specialist

Claude Desktop supports Model Context Protocol (MCP) servers and connectors for both free and paid users. For small teams, this means Claude Desktop is no longer just a chat window. With the right MCP servers it becomes a central operations hub that can read and act on Slack, Google Drive, Notion, CRM tools, and live web data without writing code.

This guide shows how Claude Desktop plus the right MCP servers can substitute for key workflows in five common paid SaaS tools (or significantly reduce your reliance on them), with setup instructions for non-technical teams and honest assessments of where this approach falls short. To be clear up front: MCP lets Claude Desktop work with these tools on your behalf. It does not literally delete every SaaS subscription, and we flag the cases where you still need the original tool.

TL;DR:

SaaS tool it replacesMCP server comboMonthly savings
Market research tool ($99–$199/mo)Apify MCP + Brave Search MCP$79–$179
Reporting tool ($50–$150/mo)Google Sheets MCP + Claude analysis$30–$130
Knowledge management ($10–$25/user/mo)Notion MCP + structured retrieval$0–$15/user
Competitive monitoring ($99–$299/mo)Apify MCP + scheduled runs$50–$250
Email drafting assistant ($20–$50/mo)Gmail MCP + Claude composing$0–$30

Prerequisites:

  • Claude Desktop installed (download)
  • Claude Free, Pro ($20/mo), or Team ($25/user/mo) subscription. MCP works on Free, but heavy daily use hits the message limits fast, so Pro or higher is realistic for business use. New to Claude? You can try Claude free for a week.
  • 15 minutes per MCP server setup
  • No app development required. You will edit a JSON (JavaScript Object Notation) config file and run npx commands in your terminal.
AI14 min read

Claude Code vs Cursor vs Copilot vs Windsurf: Which AI Coding Agent Actually Ships Code? (2026)

· 14 min read
Yassine El Haddad
Software Developer & Automation Specialist

No single AI coding tool wins at everything in 2026. Claude Code dominates terminal-first agentic workflows. Cursor leads in IDE-integrated code generation. GitHub Copilot offers the broadest IDE support and deepest GitHub integration. Windsurf delivers the best price-to-feature ratio for indie developers.

This guide compares all four based on official feature documentation, community benchmarks (linked), and developer reports from Reddit, Hacker News, and Discord, not marketing claims. Updated for May 2026.

Quick verdict:

Use caseWinnerWhy
Complex multi-file refactoringClaude CodeTerminal-first agent with full filesystem access
Daily in-editor codingCursorBest autocomplete + Composer for inline generation
Enterprise with existing GitHub workflowsGitHub CopilotNative GitHub integration, SSO, audit logs
Budget-conscious indie hackerWindsurfGenerous free tier, good quality
Terminal-heavy workflowClaude CodeNo IDE dependency, MCP ecosystem
Multi-model flexibilityCursorUse GPT-4, Claude, or Gemini in one tool

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Frequently asked questions

Frequently Asked Questions

Claude can read messy HTML, PDFs, or scraped text and return clean, structured JSON — handling layout changes that break deterministic parsers. Use it to extract product specs from inconsistent e-commerce pages, normalize contact data from directories, classify news articles by topic, or summarize competitor content. Claude's 200k token context window lets it process entire documents or many pages at once.

Apify scrapes and renders the target page; Claude processes the output. The typical pattern: Apify actor fetches HTML and extracts raw text, then calls the Claude API with a schema prompt. Results are validated and saved to an Apify dataset. This handles sites that change layout often — Claude tolerates variation where selectors would break. You can also use the Apify MCP server to let Claude trigger actor runs directly.

Claude Haiku 3.5 costs roughly $0.08 per million input tokens. A cleaned webpage is typically 2,000–8,000 tokens, making per-page extraction cost around $0.001 or less. At 100,000 pages/month, LLM cost is under $100 on Haiku. Sonnet is ~4x more expensive but more accurate on complex content. Cache repeated prompts using prompt caching to cut costs by up to 90% on static system prompts.

Yes — via the MCP protocol. With the Apify MCP server configured, Claude can call actor runs to scrape specific URLs, retrieve dataset results, and chain multiple scraping steps in one conversation. This gives Claude effective browsing capability without it needing direct internet access. You control which actors it can call and with what spending limits.