apify-ultimate-scraper

name

apify-ultimate-scraper

description

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.

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, B2B	references/workflows/lead-generation.md
competitor, ads, pricing	references/workflows/competitive-intel.md
influencer, creator	references/workflows/influencer-vetting.md
brand, mentions, sentiment	references/workflows/brand-monitoring.md
reviews, ratings, reputation	references/workflows/review-analysis.md
SEO, SERP, crawl, content, RAG	references/workflows/content-and-seo.md
analytics, engagement, performance	references/workflows/social-media-analytics.md
trends, keywords, hashtags	references/workflows/trend-research.md
jobs, recruiting, candidates	references/workflows/job-market-and-recruitment.md
real estate, listings, hotels	references/workflows/real-estate-and-hospitality.md
price monitoring, e-commerce, products	references/workflows/ecommerce-price-monitoring.md
contact enrichment, email extraction	references/workflows/contact-enrichment.md
knowledge base, RAG, LLM data feed	references/workflows/knowledge-base-and-rag.md
company research, due diligence	references/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" -i 'JSON_INPUT' --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null

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" -i 'JSON_INPUT' --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.