Covid-19 Live Data Scraper avatar

Covid-19 Live Data Scraper

Pricing

Pay per usage

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Covid-19 Live Data Scraper

Covid-19 Live Data Scraper

Global and countrywise data of Covid 19 daily Summary, confirmed cases, recovered and deaths.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Salman Bareesh

Salman Bareesh

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

6 hours ago

Last modified

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Global and countrywise data of Covid 19 daily Summary, confirmed cases, recovered and deaths Returns clean, structured JSON records ready for analysis, automation, or integration with other tools.

What You Get

  • Medical conditions and symptoms
  • Drug information
  • Health statistics by region
  • Clinical trial data

All results are returned as structured JSON objects — no parsing or cleanup required.

Quick Start

Click Run with default settings — no configuration needed. The actor works out of the box.

{
"maxResults": 100
}

Input Options

FieldDefaultDescription
maxResults100Maximum records to retrieve (1–10,000). Increase for bulk exports.

Output Format

Results are pushed to the Apify Dataset as individual JSON records. Each run also saves a summary to the Key-Value Store under OUTPUT:

{
"totalResults": 100,
"fetchedAt": "2025-01-01T00:00:00.000Z"
}

Dataset records contain the raw structured data returned by the source, including fields like:

  • Medical conditions and symptoms
  • Drug information
  • Health statistics by region

Use Cases

  • Healthcare information apps
  • Medical research platforms
  • Patient education tools
  • Public health dashboards

Pricing

$1.00 per 1,000 results — pay only for what you use. Pricing is based on the number of records pushed to the dataset.

ResultsEstimated Cost
100$0.10
1,000$1.00
10,000$10.00

Notes

  • Results are pushed to the dataset in real time as they are fetched
  • The actor automatically retries failed requests up to 3 times
  • Rate limiting is handled gracefully with built-in delays
  • Run multiple times safely — each run creates a fresh dataset