Tipranks Analyst Scraper

What does Tipranks Analyst Scraper do?

Apify actor that scrapes analyst ratings and price target data from TipRanks for given stock tickers. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel format, ready for analysis, integration, or automation workflows. Tipranks Analyst Scraper handles pagination, retries, and proxy rotation automatically so you can focus on using the data.

Why use Tipranks Analyst Scraper?

• No coding required — configure inputs in a simple web UI and click Start
• Export anywhere — download results as JSON, CSV, or Excel, or connect via API
• Scheduled runs — set up recurring scrapes to keep your data fresh (hourly, daily, weekly)
• Scalable — process hundreds or thousands of items with automatic proxy rotation and retry logic
• Integrations — connect to Google Sheets, Slack, Zapier, Make, webhooks, and more through the Apify platform

How to use Tipranks Analyst Scraper

1. Navigate to the Tipranks Analyst Scraper page on Apify Store and click Try for free
2. Configure your input parameters (see Input Configuration below)
3. Click Start and wait for the run to complete
4. View results in the Output tab — use the formatted table or switch to raw JSON
5. Download your data as JSON, CSV, or Excel, or access it via the Apify API

Input configuration

Field	Type	Description	Default
Stock Tickers	array	List of stock ticker symbols to scrape analyst ratings for (e.g., AAPL, MSFT, GO...	['AAPL', 'MSFT']
Proxy Configuration	object	Select proxies to use for scraping. Residential proxies are recommended for TipR...	{'useApifyProxy': True, 'apifyProxyGroups': ['RESIDENTIAL']}
Max Request Retries	integer	Maximum number of retry attempts for each page request.	3

Output data

The actor stores results in a dataset. Each item in the dataset represents one extracted record with structured fields. You can preview the data in the Output tab's formatted table view.

Key output fields include: Company Name, Price Target, Smart Score, Last Updated, Sell Count.

Example output:

{
  "companyName": "Example Company Name",
  "priceTarget": "$99.99",
  "smartScore": 4.5,
  "lastUpdated": "2026-01-15T10:30:00Z",
  "sellCount": 42,
  "holdCount": 42
}

Each run also produces an execution log with detailed information about pages processed, items extracted, and any errors encountered.

Cost of usage

Tipranks Analyst Scraper uses Pay-Per-Event pricing (High tier). Each successfully extracted result costs approximately $0.0015 ($1.50 per 1,000 results).

On a free Apify plan ($5/month platform credit), you can extract approximately 3,333 results per month.

Example: Extracting 1,000 results would cost approximately $1.50.

Tips and advanced usage

• Proxy configuration: This actor uses a headless browser. For sites with anti-bot protection, enable residential proxies in the input configuration for better success rates.
• Large datasets: For runs with thousands of results, increase the memory allocation in Run Options to speed up processing. The actor automatically manages request queues and pagination.
• Scheduled runs: Use Apify Schedules to run this actor on a recurring basis. Combined with integrations (webhooks, Google Sheets, Slack), you can build automated data pipelines that keep your datasets up to date.
• API access: Every dataset is accessible via the Apify API. Use the REST API or official Python/JavaScript clients to integrate results directly into your applications.

Useful Links

• TipRanks
• Apify Proxy

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• Finviz Screener Scraper

• Seeking Alpha Scraper

• Fintech App Rates Scraper

• More actors by consummate_mandala

• GitHub