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/apify-ultimate-scraper

@97047d3 official
by apifyapify/agent-skills2.4k stars
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Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.

Use this Skill: https://skilld.dev/gh/apify/agent-skills/apify-ultimate-scraper

This session only. Nothing lands on disk.

referencesworkflowscompany-research.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Company research workflows

Company intelligence profiling for sales or ABM

When: User has a list of target accounts and wants structured firmographic data, ICP signals, and key personnel for outreach or account-based marketing.

Pipeline

  1. Crawl company website -> apify/website-content-crawler
    • Key input: startUrls (company domains), maxCrawlDepth (2), includeUrlGlobs (about, pricing, team, careers, blog)
  2. Enrich with LinkedIn company data -> harvestapi/linkedin-company
    • Pipe: company name or LinkedIn URL extracted from WCC text -> Actor input
    • Key input: company identifier, includeEmployees: false
  3. AI extract structured signals (n8n: OpenAI node outputs JSON schema with companySize, industry, techStack, keyPersonnel, painSignals)
  4. Store in Supabase, Airtable, or HubSpot with AI-extracted fields as custom properties

Output fields

WCC: text (per page), url LinkedIn: employeeCount, industry, headquarters, description, specialties AI-extracted: companySize, industry, techStack, keyPersonnel, painSignals

Gotcha

WCC crawl at depth 2 can return 20-50 pages per company. For large batches, set maxCrawlPages: 5 focused on the About and Pricing pages via includeUrlGlobs. This keeps cost and latency manageable without sacrificing signal quality.


Startup scouting from Product Hunt

When: User wants weekly discovery of recently launched or funded startups in a target category for investor outreach, partnership, or competitive tracking.

Pipeline

  1. Scrape Product Hunt launches -> apify/web-scraper
    • Key input: startUrls (Product Hunt today/weekly/topic pages), maxCrawlPages (3-5)
    • Note: no dedicated Actor exists - search apify actors search "product hunt" --user-agent apify-agent-skills/apify-ultimate-scraper for community options
  2. Filter by category + upvote threshold (n8n: Filter node on extracted upvotes, category)
  3. Crawl company sites -> apify/website-content-crawler
    • Pipe: results[].website -> startUrls
    • Key input: maxCrawlPages (3), includeUrlGlobs (about, team)
  4. LinkedIn founder lookup -> harvestapi/linkedin-profile-search (by name + company)
    • Pipe: extracted founder names from step 3 -> search input
  5. AI ICP scoring (n8n: OpenAI node scores each startup against defined criteria)
  6. Output to Airtable pipeline + Slack alert for top matches

Output fields

Step 1: title, tagline, upvotes, website, makers[].name, makers[].profileUrl WCC: text, url LinkedIn: fullName, headline, profileUrl, currentCompany

Gotcha

Product Hunt ranking changes throughout the day. Schedule the scrape for end-of-day (11 pm UTC) to capture final vote counts. For AngelList/Wellfound, no maintained public Actor exists - use apify/website-content-crawler on search result pages as a fallback.


Sales meeting prep from LinkedIn and news

When: A calendar event is detected and the user needs a briefing on meeting attendees - their recent activity, company context, and conversation talking points - delivered before the meeting.

Pipeline

  1. Trigger on calendar event (n8n: Google Calendar Trigger, filter for events starting in 30 min)
  2. Extract attendee LinkedIn activity -> harvestapi/linkedin-profile-scraper + harvestapi/linkedin-profile-posts
    • Key input: profiles (attendee LinkedIn URLs), maxPosts (5 recent posts)
  3. Extract company context -> harvestapi/linkedin-company
    • Pipe: results[].currentCompany -> company name
  4. Search recent news -> apify/google-search-scraper
    • Pipe: company name + "news" -> queries
    • Key input: queries, maxResultsPerPage (5)
  5. AI synthesize brief (n8n: OpenAI node produces: key topics, recent signals, suggested talking points)
  6. Deliver via Gmail or WhatsApp node 30 minutes before meeting start

Output fields

Profiles: fullName, headline, recentPosts[], experience[0] Posts: postText, publishedAt, likes, comments Company: description, employeeCount, recentNews Search: organicResults[].title, organicResults[].snippet, organicResults[].url

Cost estimate

All HarvestAPI Actors are PPE. Per meeting with 2 attendees: profile scraper ~$0.02, posts ~$0.01, company ~$0.005, Google search ~$0.01. Total: ~$0.05 per meeting prep.

Gotcha

LinkedIn profile URLs must be in the calendar event description or a linked CRM record - they won't auto-resolve from email addresses. Set up a step in your CRM or calendar template to include LinkedIn URLs for attendees. Without a valid profileUrl, the HarvestAPI Actors return empty results.

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides comprehensive instructions for orchestrating and interacting with web scrapers (Actors) via the Apify CLI. It provides structured playbooks for different data extraction workflows (B2B lead generation, brand monitoring, social media analytics, etc.) and contains standard guidelines on configuration, parameter passing, and error handling. No malicious behaviors, obfuscation techniques, or hidden actions were detected.

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  • Snyk16d

    Risk: MEDIUM · 1 issue

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  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 97047d3. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 months ago
  • SEO
  • apify
  • scraping
  • web-scraping
  • instagram
  • facebook
  • tiktok
  • youtube
  • linkedin
  • twitter
  • google-maps
  • reddit
  • lead-generation
  • competitor-analysis
  • brand-monitoring

README badge

README badge for apify/agent-skills/apify-ultimate-scraper

Scrapes data from 100+ Apify Actors covering Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Reddit, Airbnb, Yelp, and 15+ other platforms via the Apify CLI. Use for lead generation, competitor analysis, brand monitoring, influencer discovery, review analysis, or SEO intelligence on any public web platform.

Generated from the current SKILL.md.

Does this skill work with all platforms?
It covers ~100 Actors across 15+ platforms including Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Reddit, Airbnb, Yelp, and more. Not all platforms are equally supported; check the actor-index.md reference for your target platform.
What authentication is required?
You need an Apify account and CLI token. Authenticate via `apify login` (OAuth), set `APIFY_TOKEN` as an environment variable, or source from a .env file.
Do I need to install anything locally?
Yes, Apify CLI v1.5.0 or later must be installed via npm (`npm install -g apify-cli`).
Can I export results in different formats?
Yes. Results can be fetched as JSON or CSV using `apify datasets get-items` with the `--format` flag.
What should I read before running a scraper for the first time?
Check `references/actor-index.md` to find the right Actor for your platform, then read `references/gotchas.md` for common pitfalls specific to that Actor before running.

Generated from the current SKILL.md. These answers refresh after source changes.