Apify Actors Explained: How to Choose & Run the Right Scraper

Quick answer: what is an Apify Actor?

An Apify Actor is a cloud-based scraping application that extracts data from a specific website or type of website. You configure input (URLs, search terms, filters), run the Actor, and receive structured data (JSON, CSV, Excel). Actors handle proxies, anti-bot detection, pagination, and rate limiting automatically. No coding required for most Actors.

Types of Apify Actors

Actors fall into 4 categories. Understanding these helps you choose the right one:

• Site-specific Actors: Built for one website. Examples: Google Maps Scraper, Twitter Scraper, Amazon Product Scraper. Highest reliability — the Actor is optimized for that site's structure and anti-bot measures.
• Generic scrapers: Work on any website. Examples: Cheerio Scraper (static HTML), Puppeteer Scraper (dynamic JS sites), Playwright Scraper. More flexible but require configuration and may trigger anti-bot detection.
• Utility Actors: Not scrapers themselves, but tools that process data. Examples: Data deduplication, CSV to JSON converter, email extractor. Use alongside scraping Actors.
• Custom Actors: Build your own Actor using JavaScript/TypeScript. For sites not covered by the Store. Requires coding knowledge.

How to choose the right Actor

Follow this decision process to find the best Actor for your needs:

1. Search the Apify Store Go to apify.com/store and search for your target website (e.g., "Google Maps", "Twitter", "Amazon")
2. Compare top results Look at the number of users, last update date, and star rating. Prefer Actors with 1,000+ users and recent updates.
3. Read the description Check if the Actor extracts the data fields you need. Look for the output schema or example results.
4. Check pricing Each Actor has a usage cost (per result, per minute, or per run). Compare costs across similar Actors.
5. Read reviews User reviews reveal reliability issues, data quality problems, and support responsiveness.
6. Test for free Most Actors offer a free trial run. Test with a small input (5-10 URLs) before committing to a paid plan.
7. Check the input schema Verify the Actor accepts the input parameters you need (search terms, location, date range, etc.)

Configuring Actor input

Each Actor has an input schema that defines what parameters it accepts. Here are the most common input types:

• Start URLs: The specific pages to scrape. Example: ["https://www.google.com/maps/place/Restaurant+Paris"]
• Search terms: For search-based scrapers. Example: "restaurants in Paris" or "marketing agencies in New York"
• Max results: Limit the number of results. Start with 50-100 for testing, scale up for production.
• Location/region: For location-based scrapers (Google Maps, Yelp). Specify city, state, or country.
• Date range: For time-based scrapers (Twitter, news sites). Filter by date to get recent data only.
• Output format: Choose JSON (default), CSV, Excel, or XML. JSON is best for API integration; CSV for spreadsheets.
• Proxy configuration: Most Actors handle proxies automatically. For advanced use, specify proxy type (residential, datacenter).
• Custom settings: Some Actors have advanced settings like scroll depth, image extraction, or review limits.

Running an Actor: UI vs API

You can run Actors two ways:

• Via Apify Console (UI): Go to the Actor page, fill in the input form, click "Start." Best for one-time runs and testing. No coding required.
• Via Apify API: Send a POST request to the Actor's API endpoint with input as JSON. Best for automation, scheduling, and integration with your apps.
• API example: POST https://api.apify.com/v2/acts/{actorId}/run-sync-get-dataset-items?token={token} with body: {"searchQueries": ["restaurants in Paris"], "maxResults": 100}
• Via scheduling: Set up a schedule in Apify to run the Actor automatically (hourly, daily, weekly). Combine with webhooks for automation.
• Via Apify SDK: Use the JavaScript/Python SDK to run Actors programmatically. Best for developers building data pipelines.

Understanding Actor output

After a run completes, the Actor stores results in a dataset. Here is how to access and use the data:

• Dataset: All results are stored in an Apify dataset. Access via Console > Storage > Datasets, or via API.
• Download formats: Export as JSON, CSV, Excel, XML, or HTML table. CSV is best for spreadsheets; JSON for API integration.
• Data fields: Each Actor produces different fields. Check the Actor's output schema documentation for field descriptions.
• Data cleaning: Some Actors include empty or null fields. Clean data in Google Sheets, Python (pandas), or Apify's data deduplication Actor.
• Pagination: Actors handle pagination automatically. The dataset contains all results across all pages.
• Rate limits: Actors manage rate limiting internally. You do not need to add delays between requests.

Common Actor issues and fixes

Even the best Actors encounter issues. Here are the most common problems and how to fix them:

• Actor returns empty results: Check if the target website changed its structure. Try a different Actor or wait for the Actor author to update it. Test with a different URL or search term.
• Actor gets blocked: The target site's anti-bot detection may have triggered. Use residential proxies (most Actors support this). Reduce the max results and add delays.
• Actor runs slowly: Large inputs take time. Reduce max results, narrow the search scope, or upgrade to a higher plan with more compute units.
• Missing data fields: Some fields may be empty for certain results (e.g., a business without a phone number). This is normal — filter empty fields in post-processing.
• Actor costs too much: Check the pricing model (per result vs per minute). Optimize input to avoid unnecessary pages. Use the free tier for testing.
• Duplicate results: Some Actors return duplicates when scraping overlapping URLs. Use Apify's data deduplication Actor or clean in post-processing.

Top 10 Apify Actors for marketers

These are the most useful Actors for marketing data collection:

• 1. Google Maps Scraper: Local business leads — names, addresses, phones, ratings, reviews.
• 2. Twitter/X Scraper: Tweets, profiles, followers, trends for brand monitoring.
• 3. Instagram Scraper: Posts, profiles, hashtags, reels for influencer research.
• 4. Amazon Product Scraper: Product data, prices, reviews for e-commerce research.
• 5. Google Shopping Scraper: Product prices, sellers, availability for price monitoring.
• 6. YouTube Scraper: Video data, comments, channel stats for content research.
• 7. LinkedIn Scraper: Company profiles, employee data for B2B lead generation.
• 8. Facebook Scraper: Pages, posts, reviews for social media monitoring.
• 9. TikTok Scraper: Videos, profiles, hashtags for trend research.
• 10. Reddit Scraper: Posts, comments, subreddits for audience research.