Stock Market Data Scraper
Retrieve historical stock market prices. Specify the assets, time period and price frequency.
Retrieve historical stock market prices. Specify the assets, time period and price frequency. Prices are quoted in USD.
Input Fields
Symbols
Array of Symbols to retrieve prices for. Use the ticker symbol (ex: MSFT, TSLA, AAPL). For Crypto assets use the format BTC-USD
Days
Data up to number of days ago (eg. 1,14,30,max). Use max to retrieve all available dates
Interval
Return either Daily, Weekly or Monthly Values
Output Fields
The output dataset contains the following fields:
- Symbol: asset symbol (eg. MSFT)
- Date: date of the record
- Open: low price of the asset for a particular date
- High: high price of the asset for a particular date
- Low: low price of the asset for a particular date
- Close: close price of the asset for a particular date
- Adjusted Close: adjusted close price of the asset for a particular date
- Volume: trading volume of the asset for a particular date
- EPS Estimate: EPS estimate for the particular date
- Reported EPS: Reported EPS for the particular date
- EPS Suprise Percentage: Suprise Percentage (EPS Reported vs EPS Estimate ) for the particular date
Frequently Asked Questions
Is it legal to scrape job listings or public data?
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
Do I need to code to use this scraper?
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
What data does it extract?
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Can I scrape multiple pages or filter by location?
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
How do I get started?
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!