A life enhancing plug-in for Cypress allowing you to easliy work with html <table>elements and repeating elements, whether it be for test assertions or for web scarping purposes.
Using npm:
$ npm install cypress-harvester --save-devEnable this plugin by adding this line to your project's cypress/support/commands.js:
import 'cypress-harvester'Given a simple html table below:
| Created | Account Id | Account Holder | Balance |
|---|---|---|---|
| 10-04-2021 13:40:17 | UA-11876-3 | Terrell E. Evert | $33 |
| 10-04-2021 12:00:17 | UA-10876-1 | James L. Silver | $50.5 |
| 10-04-2021 13:00:17 | UA-10346-1 | Christian A. Lavalle | $-22.98 |
<table id="example" border="1">
<tr>
<td>Created</td>
<td>Account Id</td>
<td>Account Holder</td>
<td>Balance</td>
</tr>
<tr>
<td>10-04-2021 13:40:17</td>
<td>UA-11876-3</td>
<td>Terrell E. Evert</td>
<td>$33</td>
</tr>
<tr>
<td>10-04-2021 12:00:17</td>
<td>UA-10876-1</td>
<td>James L. Silver</td>
<td>$50.5</td>
</tr>
<tr>
<td>10-04-2021 13:00:17</td>
<td>UA-10346-1</td>
<td>Christian A. Lavalle</td>
<td>$-22.98</td>
</tr>
</table>When table is passed through the Cypress harvester, Cypress is able to easily extract data and convert to a json representation of the table:
cy.get('#example')
.scrapeTable()
.then((table) => {
expect(table.getData()).to.deep.eq([
{
created: '10-04-2021 13:40:17',
account_id: 'UA-11876-3',
account_holder: 'Terrell E. Evert',
balance: '$33',
},
{
created: '10-04-2021 12:00:17',
account_id: 'UA-10876-1',
account_holder: 'James L. Silver',
balance: '$50.5',
},
{
created: '10-04-2021 13:00:17',
account_id: 'UA-10346-1',
account_holder: 'Christian A. Lavalle',
balance: '$-22.98',
},
]);
});Given a simple set of repeating elements below:
<div id="sale-items" style="margin-left:45px;">
<div class="product">
<div class="product-name">iPad Pro</div>
<div class="model">11-inch Liquid Retina Display</div>
<div class="price">$829.99</div>
</div>
<div class="product">
<div class="product-name">iPad Air</div>
<div class="model">64 GB Wi-Fi + Cellular</div>
<div class="price">$599.99</div>
</div>
<div class="product">
<div class="product-name">iPad mini</div>
<div class="model">256 GB Wi-Fi + Cellular</div>
<div class="price">$399</div>
</div>
</div>When the set of repeating elements is passed through to the scrapeElements scraper. It will yeild a nice json represenation of the data on the page. This will allow you to assert the data or save the results.
cy.get('#sale-items .product')
.scrapeElements({
elementsToScrape: [
{ label: 'product_name', locator: '.product-name' },
{ label: 'product_model', locator: '.model' },
{ label: 'item_price', locator: '.price' },
],
})
.then((scrapedData) => {
expect(scrapedData.data).to.deep.eq([
{
product_name: 'iPad Pro',
product_model: '11-inch Liquid Retina Display',
item_price: '$829.99',
},
{
product_name: 'iPad Air',
product_model: '64 GB Wi-Fi + Cellular',
item_price: '$599.99',
},
{
product_name: 'iPad mini',
product_model: '256 GB Wi-Fi + Cellular',
item_price: '$399',
},
]);
});This plugin also allows for scraping of data from tables which can be persisted to a json file:
cy.get('#example')
.scrapeTable({
exportFileName: 'scrapedData.json',
exportFilePath: 'cypress/downloads',
})
.then((table) => {
expect(table.exportStatus).to.contain(
'Data table successfully saved'
);
});A json representation of the html table is then saved to a json file within the cypress/downloads folder:
cy.get('#example')
.scrapeTable()
.then((table) => {
// assert the number of records in the table
expect(table.rowCount()).to.eq(3);
// validate a record exists in the table
expect(
table.hasItem({
account_holder: 'Christian A. Lavalle',
})
).to.have.property('account_id', 'UA-10346-1');
// validate a record does not exist in the table
expect(
table.hasItem({
account_holder: 'John Babs',
})
).to.be.undefined;
// check the tables' column labels
expect(table.columnLabels).to.deep.eq([
'Created',
'Account Id',
'Account Holder',
'Balance',
]);
// test whether column(s) are sorted
expect(
table.isPropertySorted(['account_id'], ['desc']),
'account_id sorted in desc order'
).to.be.true;
// find records matching a search term for a given property
// the example below return only 2 records where the account holder contains 'ver'
// it will find [Terrell E. Evert and James L. Silver]
expect(
table.containsItem(
'account_holder', 'ver')
).to.deep.eq([
{
created: '10-04-2021 13:40:17',
account_id: 'UA-11876-3',
account_holder: 'Terrell E. Evert',
balance: '$33',
},
{
created: '10-04-2021 12:00:17',
account_id: 'UA-10876-1',
account_holder: 'James L. Silver',
balance: '$50.5',
}
]);
// choose to only return certain properties you wish to validate against
let mappedProperties = table.getData().map((d) => {
return {
account_id: d.account_id,
balance: d.balance,
};
});
expect(mappedProperties).to.deep.eq([
{
account_id: 'UA-11876-3',
balance: '$33',
},
{
account_id: 'UA-10876-1',
balance: '$50.5',
},
{
account_id: 'UA-10346-1',
balance: '$-22.98',
},
]);
});In order to assert date columns, you will need to specify the column index for the data to be interpreted as a date data type. The underlying data will be converted to unix epoch format to allow sort assertions.
cy.get('#example')
.scrapeTable({ dateColumns: [0] })
.then((table) => {
// ensure the 'created' AKA 'Created' date field is sorted by ascending
expect(
table.isPropertySorted(['created'], ['asc']),
'created sorted in asc order'
).to.be.false;
});Take advantage to the fixtures within Cypress when dealing with large datasets.
cy.get('#example')
.scrapeTable()
.then((table) => {
cy.fixture('expected_table_values').then((expectedTableData) => {
expect(table.getData()).to.deep.eq(expectedTableData);
});
});Provide the index of numeric columns (starting at zero), in the example above. The balance column index is 3, when this value is supplied to the plug-in, we are able to validate the total sum of the column against an expected value.
cy.get('#example')
.scrapeTable({ decimalColumns: [3] })
.then((table) => {
expect(table.sumOfColumn('balance', 2)).to.eq(60.52);
});| Property | Default Value | Type | Purpose |
|---|---|---|---|
| exportFileName | string | The name of the exported file. Both the [exportFileName] and the [exportFilePath] properties must be specified in order to export the scrapted data to a file. | |
| exportFilePath | string | Where the exported files are to be saved. | |
| includeTimestamp | false | boolean | Add a unique timestamp to the generated file |
| propertyNameConvention | snakeCase | string | Controls the naming convention of the resultant data table json representation. The value can either be 'snakeCase' or 'camleCase' |
| removeAllNewlineCharacters | false | boolean | Instructs the plugin to remove all new line characters from the table cell values |
| applyDataTypeConversion | false | boolean | Converts the column values to integers for the columns specified in the [decimalColumns] property. |
| decimalColumns | [] | array | This configuration is applied only when the applyDataTypeConversion flag is set to true. Expects an array of intergers, these numbers map to the column index (starting at zero) of each of columns in the table. The values contained in the columns will be converted to integers. |
This plugin doesn't wait for data to appear in your table. This can be achieved by adding guards into your code prior to calling scrapeTable.
Examples:
Use your application's api to sync against
cy.intercept('api/endpoint/fetches/data').as('myTableData')
cy.visit('https://myapp.com')
cy.wait('@myTableData')
cy.get('#simpleTable')
.scrapeTable()
.then((table) => {})Add a have.length.above assertion after your cy.get call
cy.get('#simpleTable')
.should('have.length.above', 0)
.scrapeTable()
.then((table) => {})Contributionsare more than welcome. Go nuts.
Solution in this stackoverflow question @metarmask