# A sponsor's trials that changed in the last 7 days

**Use case:** 

Competitive intelligence on a pipeline: every trial of the sponsors you follow whose registry record was updated in the last week — status changes, new sites, moved completion dates. Schedule it daily and each run returns only what moved since the last one.

## Input

```json
{
  "conditions": [],
  "interventions": [],
  "sponsors": [
    "Novo Nordisk",
    "Eli Lilly and Company"
  ],
  "locations": [],
  "terms": [],
  "statuses": [],
  "phases": [],
  "studyTypes": [],
  "updatedSince": "7 days",
  "startedSince": "",
  "sortBy": "last update",
  "includeSites": false,
  "maxSitesPerStudy": 0,
  "maxResults": 300
}
```

## Output

```json
{
  "nctId": {
    "label": "NCT number",
    "format": "string"
  },
  "title": {
    "label": "Brief title",
    "format": "string"
  },
  "status": {
    "label": "Recruitment status",
    "format": "string"
  },
  "phase": {
    "label": "Phase",
    "format": "string"
  },
  "enrollment": {
    "label": "Enrollment",
    "format": "number"
  },
  "sponsor": {
    "label": "Lead sponsor",
    "format": "string"
  },
  "conditions": {
    "label": "Conditions",
    "format": "array"
  },
  "startDate": {
    "label": "Start date",
    "format": "string"
  },
  "lastUpdateDate": {
    "label": "Last update posted",
    "format": "string"
  },
  "url": {
    "label": "Registry page",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [ClinicalTrials.gov Scraper — Trials, Sponsors, Sites, Contacts](https://apify.com/chorelet/clinical-trials-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/chorelet/clinical-trials-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/chorelet/clinical-trials-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).