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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.

Ask your Agent

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

This session only. Nothing lands on disk.

SKILL.md

≈114 tokens always: the name and description. ≈1.2k when used: this file. ≈19k more on demand in 16 files.

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" --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.

Source: SKILL.md on GitHub

Third-party checks

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.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    2/2 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

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

Topics

  • 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

What it does

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.

Frequently asked

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.