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Apify Ultimate Scraper

ApifyOfficialPublished by Apify

  • Skill
  • Tool integration
  • Automation and integrations
  • Apache-2.0
  • Low risk
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From the author

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.
— the description by Apify

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The apify-ultimate-scraper skill provides a structured, AI-assisted approach to web data extraction. It leverages the Apify CLI to interact with a wide range of platform-specific Actors, ensuring consistent telemetry, machine-readable output, and cost-conscious execution. The skill includes a comprehensive index for selecting the right tool for tasks ranging from social media analytics to e-commerce price monitoring, while enforcing safety protocols for cost estimation and error handling.

What it does

  • Provides a standardized CLI workflow for searching, configuring, and running web scrapers.
  • Ensures machine-readable output by enforcing JSON formatting and stderr redirection.
  • Includes a cost estimation protocol for pay-per-event (PPE) Actors to prevent unexpected billing.
  • Facilitates dynamic retrieval of Actor input schemas and documentation.
  • Supports both synchronous execution for quick lookups and asynchronous polling for large-scale scrapes.
  • Integrates with a library of workflow guides for specific use cases like lead generation and SEO.

When to use it

  • When you need to extract structured data from social media, e-commerce, or search engine platforms.
  • When performing competitive intelligence, brand monitoring, or market research.
  • When you require a repeatable, automated pipeline for data collection.
  • When you need to verify the cost implications of a scraping task before execution.

Advantages

  • Reduces manual configuration errors through standardized CLI usage patterns.
  • Prevents budget overruns with built-in cost estimation and warning thresholds.
  • Provides a unified interface for interacting with over 100 different scraping tools.
  • Ensures stable, parseable output for downstream data processing.

Usage examples

“Find a scraper for Instagram follower counts.”
The agent searches the Actor index, identifies 'apify/instagram-followers-count-scraper', and provides the command to fetch its input schema.
“Scrape the top 50 results for 'AI tools' on Google Search.”
The agent selects the appropriate Google Search Actor, estimates the cost if applicable, runs the scrape, and presents the results as a formatted JSON list.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/apify/apify-ultimate-scraper/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip apify-ultimate-scraper.zip -d .agents/skills

Documentation by Apify

Universal web scraper

AI-driven data extraction from ~100 Actors across 15+ platforms via the Apify CLI.

Rules for every apify command:

  1. Pass --json for machine-readable output (stable across CLI versions).

  2. Pass --user-agent apify-agent-skills/apify-ultimate-scraper for telemetry attribution.

  3. Redirect stderr with 2>/dev/null (stderr contains progress messages that break JSON parsers).

Prerequisites

  • Apify CLI v1.5.0+ (npm install -g apify-cli)

  • Authenticated session (see below)

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

Workflow

Step 1: Understand goal and select Actor

Identify the target platform and use case. Read references/actor-index.md to find the right Actor.

If the task involves a multi-step pipeline, also read the matching workflow guide:

Task involves...Read
leads, contacts, emails, B2Breferences/workflows/lead-generation.md
competitor, ads, pricingreferences/workflows/competitive-intel.md
influencer, creatorreferences/workflows/influencer-vetting.md
brand, mentions, sentimentreferences/workflows/brand-monitoring.md
reviews, ratings, reputationreferences/workflows/review-analysis.md
SEO, SERP, crawl, content, RAGreferences/workflows/content-and-seo.md
analytics, engagement, performancereferences/workflows/social-media-analytics.md
trends, keywords, hashtagsreferences/workflows/trend-research.md
jobs, recruiting, candidatesreferences/workflows/job-market-and-recruitment.md
real estate, listings, hotelsreferences/workflows/real-estate-and-hospitality.md
price monitoring, e-commerce, productsreferences/workflows/ecommerce-price-monitoring.md
contact enrichment, email extractionreferences/workflows/contact-enrichment.md
knowledge base, RAG, LLM data feedreferences/workflows/knowledge-base-and-rag.md
company research, due diligencereferences/workflows/company-research.md

If no Actor matches in the index, search dynamically:

apify actors search "KEYWORDS" --user-agent apify-agent-skills/apify-ultimate-scraper --json --limit 10 2>/dev/null

From results: items[].username/items[].name (Actor ID), items[].title, items[].stats.totalUsers30Days, items[].currentPricingInfo.pricingModel.

Step 2: Fetch Actor schema and check gotchas

Fetch the input schema dynamically:

apify actors info "ACTOR_ID" --user-agent apify-agent-skills/apify-ultimate-scraper --input --json 2>/dev/null

Also read references/gotchas.md to check for common pitfalls for the selected Actor.

For Actor documentation: apify actors info "ACTOR_ID" --user-agent apify-agent-skills/apify-ultimate-scraper --readme

Step 3: Configure and run

Skip user preferences for simple lookups (e.g., "Nike's follower count"). Go straight to running with quick answer mode.

For larger tasks, confirm output format (quick answer / CSV / JSON) and result count.

Standard run (blocking):

apify actors call "ACTOR_ID" --input-file input.json --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null

Prefer --input-file input.json for large or complex inputs. For tiny inputs, inline JSON is acceptable with shell quoting: --input '{"maxItems":10}'.

From output: .id (run ID), .status, .defaultDatasetId, .stats.durationMillis

Fetch results:

apify datasets get-items DATASET_ID --user-agent apify-agent-skills/apify-ultimate-scraper --format json

For CSV: apify datasets get-items DATASET_ID --user-agent apify-agent-skills/apify-ultimate-scraper --format csv

Quick answer mode: Fetch results as JSON, pick top 5, present formatted in chat.

Save to file: Fetch results, use Write tool to save as YYYY-MM-DD_descriptive-name.csv or .json.

Large/long-running scrapes:

apify actors start "ACTOR_ID" --input-file input.json --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null

Poll: apify runs info RUN_ID --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null (check .status for SUCCEEDED).

Step 4: Deliver results

Report: result count, file location (if saved), key data fields, and links:

  • Dataset: https://console.apify.com/storage/datasets/DATASET_ID

  • Run: https://console.apify.com/actors/runs/RUN_ID

For multi-step workflows: suggest the next pipeline step from the workflow guide.

Troubleshooting

Common errors and pitfalls are documented in references/gotchas.md. Read it before running PPE (pay-per-event) Actors.

Files

references/workflows/ecommerce-price-monitoring.md

E-commerce price monitoring workflows

Competitor product price monitoring with alerts

When: User wants to track competitor prices across product pages and get notified when prices change.

Pipeline

  1. Scrape product pages -> apify/e-commerce-scraping-tool

    • Key input: startUrls (competitor product page URLs), proxyConfiguration

  2. Match products across sites -> tri_angle/e-commerce-product-matching-tool

    • Pipe: results[].url + results[].name -> matching input

    • Key input: source dataset ID from step 1, target product list

  3. Compare vs. baseline (n8n logic: read Google Sheets last_price, compute % change, filter if changed)

  4. Alert via Telegram/Slack node with price delta

Output fields

Step 1: price, currency, name, sku, availability, url Step 2: matched pairs with similarityScore, sourceProduct, targetProduct

Cost estimate

apify/e-commerce-scraping-tool is pay-per-result. For 200 product URLs daily, expect ~$0.50-$1/run depending on site complexity.

Gotcha

Many e-commerce sites use bot protection. If e-commerce-scraping-tool returns empty prices, fall back to apify/camoufox-scraper with residential proxy. Set sessionPoolName to reuse sessions and reduce blocks.

Amazon product and review tracking

When: User wants to monitor own or competitor Amazon listings for price drops or review score changes.

Pipeline

  1. Extract Amazon data -> apify/e-commerce-scraping-tool

    • Key input: startUrls (Amazon product URLs), extractReviews (bool)

  2. Compare vs. stored baseline (n8n: read last values from Sheets or DB)

  3. Alert on new low price or rating drop (n8n: If node + Telegram/Slack send)

Output fields

price, currency, rating, reviewsCount, title, asin, availability

Cost estimate

Flat per-result pricing. 50 ASINs daily ~ $0.10-$0.25/run.

Gotcha

Amazon aggressively rotates prices and sometimes shows regional prices. Always store currency alongside price. For review text (not just counts), search apify actors search "amazon reviews" --user-agent apify-agent-skills/apify-ultimate-scraper for a dedicated Actor.

Supplier catalog extraction to draft products

When: User wants to pull new products from a supplier portal and create draft listings with AI-enriched descriptions.

Pipeline

  1. Crawl supplier catalog -> apify/playwright-scraper (JS-heavy portals) or apify/cheerio-scraper (static HTML)

    • Key input: startUrls (supplier category pages), pseudoUrls (product URL patterns), maxCrawlPages

  2. Extract product content -> apify/website-content-crawler (optional second pass for detail pages)

    • Pipe: results[].url -> startUrls

    • Key input: maxCrawlPages (1 per product), htmlTransformer: "readableText"

  3. AI rewrite (n8n: OpenAI node generates SEO title + bullets from raw specs)

  4. Create draft product (n8n: Shopify node POST /products.json with status: "draft")

Output fields

Step 1/2: text, url, metadata.title, inline image URLs

Cost estimate

Depends on catalog size. playwright-scraper is PPE; 500 product pages ~ $1-3.

Gotcha

Supplier portals often require login. Use apify/playwright-scraper with initialCookies or a pre-login script in preNavigationHooks. Never hardcode credentials - pass via Actor input from n8n credentials store.

Multi-site deal and coupon monitoring

When: User wants to detect when competitors run promotions or publish coupon codes so marketing can respond.

Pipeline

  1. Scrape deals pages -> apify/e-commerce-scraping-tool

    • Key input: startUrls (competitor deal/sale page URLs), proxyConfiguration

  2. Dynamic JS deal pages (fallback) -> apify/camoufox-scraper

    • Pipe: failed URLs from step 1 -> startUrls

  3. AI extract promotion details (n8n: OpenAI node extracts discount %, promo code, expiry from raw text)

  4. Dedup and alert (n8n: compare against stored deals DB, Slack notify on new deals)

Output fields

Raw: price, discountText, url; AI-extracted: promoCode, validUntil, discountPercent, category

Cost estimate

Light scraping - deals pages are few. Expect < $0.20/run for 20 competitor pages.

Gotcha

Promo codes and flash deals may only be visible after login or in geofenced regions. Test each target URL manually first. AI extraction of expiry dates is unreliable - treat as best-effort signal, not exact data.

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Names Claude Code tools, Needs Node.js

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Apify
Publisher
Apify (Official)
Source
apify/agent-skills · skills/apify-ultimate-scraper · commit f22557f
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (written by AutoGineer)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download apify-ultimate-scraper.zip