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Postmantesting~8 mins

Extracting data from responses in Postman - Framework Patterns

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Framework Mode - Extracting data from responses
Folder Structure
PostmanCollectionProject/
├── collections/
│   └── MyAPICollection.postman_collection.json
├── environments/
│   ├── dev.postman_environment.json
│   ├── staging.postman_environment.json
│   └── prod.postman_environment.json
├── scripts/
│   ├── pre-request-scripts/
│   │   └── setupVariables.js
│   └── test-scripts/
│       └── extractData.js
├── reports/
│   └── test-report.html
└── README.md
Test Framework Layers
  • Collections: Group of API requests organized by feature or endpoint.
  • Environments: Store variables like base URLs, tokens for different setups (dev, staging, prod).
  • Pre-request Scripts: JavaScript code run before requests to set or modify variables.
  • Test Scripts: JavaScript code run after responses to validate and extract data.
  • Utilities: Shared scripts or functions for common tasks like parsing JSON or setting variables.
  • Reports: Generated test run reports showing pass/fail and extracted data.
Configuration Patterns
  • Environment Variables: Use environment files to store URLs, tokens, and credentials. Switch environments to run tests in different setups.
  • Global Variables: For data shared across collections or requests.
  • Collection Variables: Variables scoped to a collection for modularity.
  • Data Files: Use CSV or JSON files to run data-driven tests with different input values.
  • Scripts: Use pre-request scripts to set dynamic variables before requests. Use test scripts to extract data from responses and save to variables for later use.
Test Reporting and CI/CD Integration
  • Newman CLI: Run Postman collections from command line with newman. Supports JSON, HTML, and JUnit reports.
  • Report Generation: Generate detailed HTML or JSON reports showing which tests passed or failed and extracted data values.
  • CI/CD Integration: Integrate Newman runs into pipelines (Jenkins, GitHub Actions, GitLab CI) to automate API testing on code changes.
  • Environment Selection: Pass environment files to Newman to test different setups automatically.
  • Failure Alerts: Configure pipeline to notify team on test failures for quick feedback.
Best Practices
  • Use Clear Variable Names: Name extracted variables clearly to avoid confusion.
  • Extract Only Needed Data: Extract minimal data needed for next requests or validations to keep tests simple.
  • Validate Before Extracting: Always check response status and structure before extracting data to avoid errors.
  • Use Environment Variables: Store extracted data in environment variables to share between requests.
  • Keep Scripts Modular: Use separate script files or functions for extraction logic to reuse and maintain easily.
Self Check

Where in this framework structure would you add a new script to extract a user ID from a login response and save it for later requests?

Key Result
Organize Postman tests with collections, environment variables, and test scripts to extract and reuse response data efficiently.

Practice

(1/5)
1. What is the primary purpose of extracting data from API responses in Postman?
easy
A. To reuse data in subsequent API requests
B. To change the API endpoint URL
C. To modify the request headers
D. To delete the response data

Solution

  1. Step 1: Understand the role of data extraction

    Extracting data allows you to capture values from one response to use later.
  2. Step 2: Connect API requests using extracted data

    This helps chain requests by passing data like tokens or IDs forward.
  3. Final Answer:

    To reuse data in subsequent API requests -> Option A
  4. Quick Check:

    Extract data = reuse in next requests [OK]
Hint: Extract data to pass info between requests [OK]
Common Mistakes:
  • Thinking extraction changes the URL
  • Confusing extraction with header modification
  • Believing extraction deletes data
2. Which Postman script correctly extracts the value of userId from a JSON response and saves it as an environment variable?
easy
A. let data = pm.response.json(); pm.environment.set('userId', data.userId);
B. pm.response.set('userId', pm.response.json().userId);
C. pm.environment.get('userId', pm.response.json().userId);
D. let userId = pm.response.set('userId');

Solution

  1. Step 1: Use pm.response.json() to parse JSON

    This method converts the response body into a JavaScript object.
  2. Step 2: Use pm.environment.set() to save variable

    Set the environment variable 'userId' with the extracted value.
  3. Final Answer:

    let data = pm.response.json(); pm.environment.set('userId', data.userId); -> Option A
  4. Quick Check:

    Parse JSON + set env variable = let data = pm.response.json(); pm.environment.set('userId', data.userId); [OK]
Hint: Use pm.response.json() then pm.environment.set() [OK]
Common Mistakes:
  • Using pm.response.set() which doesn't exist
  • Using pm.environment.get() to set variables
  • Not parsing JSON before accessing properties
3. Given the response body:
{"token": "abc123", "user": {"id": 42}}

What will this Postman script save in the environment variable authToken?
let jsonData = pm.response.json();
pm.environment.set('authToken', jsonData.token);
medium
A. null
B. 42
C. undefined
D. "abc123"

Solution

  1. Step 1: Parse the JSON response

    jsonData.token accesses the 'token' key which has value "abc123".
  2. Step 2: Set environment variable with token value

    pm.environment.set saves "abc123" as 'authToken'.
  3. Final Answer:

    "abc123" -> Option D
  4. Quick Check:

    jsonData.token = "abc123" [OK]
Hint: Access exact key from parsed JSON to get value [OK]
Common Mistakes:
  • Using user.id instead of token
  • Expecting number 42 instead of string token
  • Not parsing JSON before accessing token
4. You wrote this Postman test script to extract sessionId from the response:
let data = pm.response.json();
pm.environment.set('sessionId', data.session_id);

But the environment variable sessionId is always empty. What is the likely problem?
medium
A. pm.response.json() does not parse JSON
B. pm.environment.set() cannot save variables
C. The response JSON uses sessionId not session_id
D. You must use pm.collectionVariables.set() instead

Solution

  1. Step 1: Check JSON key names carefully

    The script uses 'session_id' but the response likely has 'sessionId' (camelCase).
  2. Step 2: Correct key name to match response

    Use data.sessionId to correctly extract the value.
  3. Final Answer:

    The response JSON uses sessionId not session_id -> Option C
  4. Quick Check:

    Key name mismatch causes empty variable [OK]
Hint: Match JSON keys exactly, including case [OK]
Common Mistakes:
  • Assuming pm.environment.set() doesn't work
  • Not parsing JSON before accessing keys
  • Confusing environment and collection variables
5. You receive this nested JSON response:
{"data": {"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}}

How do you extract and save the name of the second user as a collection variable in Postman?
hard
A. pm.environment.set('secondUserName', pm.response.json().data.users[1].name);
B. let json = pm.response.json(); pm.collectionVariables.set('secondUserName', json.data.users[1].name);
C. let json = pm.response.json(); pm.environment.set('secondUserName', json.data.users[2].name);
D. pm.collectionVariables.set('secondUserName', pm.response.json().users[2].name);

Solution

  1. Step 1: Parse the nested JSON response

    Access the array at json.data.users and select index 1 for the second user.
  2. Step 2: Save the second user's name as a collection variable

    Use pm.collectionVariables.set with key 'secondUserName' and value json.data.users[1].name.
  3. Final Answer:

    let json = pm.response.json(); pm.collectionVariables.set('secondUserName', json.data.users[1].name); -> Option B
  4. Quick Check:

    Index 1 in users array = second user name [OK]
Hint: Use zero-based index and correct variable scope [OK]
Common Mistakes:
  • Using index 2 instead of 1 for second user
  • Mixing environment and collection variables
  • Not parsing JSON before accessing nested data