S&P 500 Data Scraper
Pricing
from $1.00 / 1,000 results
S&P 500 Data Scraper
Extracts the complete, up-to-date S&P 500 company roster directly from Wikipedia. Instantly retrieve ticker symbols, sectors, and headquarters data as clean, structured JSON ready to be ingested into your ETL pipelines or market trackers.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
Harmen Preet Kaur
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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📈 S&P 500 Data Scraper
This fast, lightweight Actor extracts the official list of S&P 500 companies from Wikipedia. It automatically navigates the latest public tables and converts the raw HTML into a structured, machine-readable dataset.
💡 Use Cases
- Financial Analysis: Feed ticker symbols into algorithmic trading models or financial dashboards.
- Automated Data Pipelines: Integrate the output directly into your master ETL pipelines or automated databases.
- Market Tracking: Keep your market price trackers and industry research up to date with the latest index additions and removals.
🗂 Output Format
The Actor runs automatically with no input parameters required. It outputs a comprehensive JSON dataset containing over 500 records with the following fields:
- Symbol (e.g., AAPL, MSFT)
- Security Name
- GICS Sector & Sub-Industry
- Headquarters Location
- Date First Added
- CIK Number
💰 Pricing
This Actor operates on a Pay-per-event model. You are only charged a fraction of a cent for each successfully extracted company record, ensuring you only pay for the exact data you receive.
