Operations (sample payloads)

Main operations
Copy

Add Column
Copy

Add a new column to the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "name": "Total Sales",
4    "type": "number",
5    "default_value": 0,
6    "format": "0,0.00",
7    "after": "Product Name"
8}

Sample Output

1{
2    "success": true
3}

Add Row
Copy

Add a new row to the end of the CSV

Sample Input

1{
2    "id": "csv_12345",
3    "cells": {
4        "Name": "John Doe",
5        "Age": "30",
6        "Email": "john.doe@example.com",
7        "Subscribed": true,
8        "Balance": 1000.5
9    },
10    "stringify_boolean": true,
11    "allow_null": false,
12    "timeout_millis": 5000
13}

Sample Output

1{
2    "success": true
3}

Add Rows
Copy

Add multiple rows to the end of the CSV

Sample Input

1{
2    "id": "csv_12345",
3    "rows": [
4        {
5            "name": "John Doe",
6            "age": 30,
7            "email": "john.doe@example.com",
8            "is_active": true
9        },
10        {
11            "name": "Jane Smith",
12            "age": 28,
13            "email": "jane.smith@example.com",
14            "is_active": false
15        },
16        {
17            "name": "Bob Johnson",
18            "age": 35,
19            "email": "bob.johnson@example.com",
20            "is_active": true
21        }
22    ],
23    "validate_columns": true,
24    "default_value": "",
25    "stringify_boolean": true,
26    "allow_null": false
27}

Sample Output

1{
2    "rows_inserted": 3,
3    "rows_not_inserted": 0,
4    "error_rows": {
5        "message": "",
6        "errorRows": []
7    }
8}

Create CSV
Copy

Create a temporary CSV for use within the current workflow execution. You can perform operations on this CSV within a single workflow execution, but will need to export the CSV at the end otherwise it will be deleted.

Sample Input

1{
2    "scope": "current_run",
3    "number_of_columns": 5,
4    "columns": [
5        {
6            "name": "Name",
7            "type": "text"
8        },
9        {
10            "name": "Age",
11            "type": "number"
12        },
13        {
14            "name": "Salary",
15            "type": "large_number"
16        },
17        {
18            "name": "Performance Score",
19            "type": "double",
20            "format": "0.00"
21        },
22        {
23            "name": "Hire Date",
24            "type": "date",
25            "format": "YYYY-MM-DD"
26        }
27    ],
28    "number_of_rows": 3,
29    "use_utf8": false
30}

Sample Output

1{
2    "id": "csv_12345abcde",
3    "columns": [
4        {
5            "name": "Name",
6            "type": "text"
7        },
8        {
9            "name": "Age",
10            "type": "number"
11        },
12        {
13            "name": "Salary",
14            "type": "large_number"
15        },
16        {
17            "name": "Performance Score",
18            "type": "double",
19            "format": "0.00"
20        },
21        {
22            "name": "Hire Date",
23            "type": "date",
24            "format": "YYYY-MM-DD"
25        }
26    ],
27    "rows": 3,
28    "errors": 0
29}

Create CSV From File
Copy

Create a temporary CSV for use within the current workflow execution from an existing file. You can perform operations on this CSV within a single workflow execution, but will need to export the CSV at the end otherwise it will be deleted.

Sample Input

1{
2    "file_url": "https://example.com/sales_data.csv",
3    "delimiter": "comma",
4    "has_header": true,
5    "scope": "current_run",
6    "escape_char": "\\",
7    "enclose_char": "\"",
8    "end_line": "auto_detect",
9    "validate_csv_settings": true,
10    "default_text_type": {
11        "length_limit": 100
12    },
13    "column_types": [
14        {
15            "name": "Date",
16            "type": "date",
17            "format": "YYYY-MM-DD"
18        },
19        {
20            "name": "Revenue",
21            "type": "number",
22            "format": "0,0.00"
23        }
24    ],
25    "column_indices": [
26        {
27            "column_names": [
28                "Date",
29                "Product"
30            ]
31        }
32    ],
33    "whitelisted_columns": [
34        "Date",
35        "Product",
36        "Revenue",
37        "Quantity"
38    ]
39}

Sample Output

1{
2    "id": "csv_12345abcde",
3    "columns": [
4        {
5            "name": "Date",
6            "type": "date",
7            "format": "YYYY-MM-DD"
8        },
9        {
10            "name": "Product",
11            "type": "text"
12        },
13        {
14            "name": "Revenue",
15            "type": "number",
16            "format": "0,0.00"
17        },
18        {
19            "name": "Quantity",
20            "type": "number"
21        }
22    ],
23    "rows": 1000
24}

Create CSV From XLSX File
Copy

Create a temporary CSV for use within the current workflow execution from an existing XLSX file. You can perform operations on this CSV within a single workflow execution, but will need to export the CSV at the end otherwise it will be deleted.

Sample Input

1{
2    "file_url": "https://example.com/sales_data.xlsx",
3    "scope": "current_run",
4    "worksheets_to_extract": {
5        "worksheet_names": [
6            "Sales 2022",
7            "Sales 2023"
8        ]
9    },
10    "has_header": true,
11    "column_types": [
12        [
13            {
14                "name": "Date",
15                "type": "date",
16                "format": "YYYY-MM-DD"
17            },
18            {
19                "name": "Revenue",
20                "type": "number",
21                "format": "0,0.00"
22            },
23            {
24                "name": "Product",
25                "type": "text"
26            }
27        ],
28        [
29            {
30                "name": "Date",
31                "type": "date",
32                "format": "YYYY-MM-DD"
33            },
34            {
35                "name": "Revenue",
36                "type": "number",
37                "format": "0,0.00"
38            },
39            {
40                "name": "Product",
41                "type": "text"
42            }
43        ]
44    ],
45    "ignore_rows": 0,
46    "use_utf8": false
47}

Sample Output

1{
2    "results": [
3        {
4            "id": "csv_1234567890",
5            "columns": [
6                {
7                    "name": "Date",
8                    "type": "date",
9                    "format": "YYYY-MM-DD"
10                },
11                {
12                    "name": "Revenue",
13                    "type": "number",
14                    "format": "0,0.00"
15                },
16                {
17                    "name": "Product",
18                    "type": "text"
19                }
20            ],
21            "rows": 250
22        },
23        {
24            "id": "csv_0987654321",
25            "columns": [
26                {
27                    "name": "Date",
28                    "type": "date",
29                    "format": "YYYY-MM-DD"
30                },
31                {
32                    "name": "Revenue",
33                    "type": "number",
34                    "format": "0,0.00"
35                },
36                {
37                    "name": "Product",
38                    "type": "text"
39                }
40            ],
41            "rows": 180
42        }
43    ],
44    "errors": []
45}

Create CSV From XML File
Copy

Create a temporary CSV for use within the current workflow execution from an existing XML file. You can perform operations on this CSV within a single workflow execution, but will need to export the CSV at the end otherwise it will be deleted.

Sample Input

1{
2    "file_url": "https://example.com/data.xml",
3    "scope": "current_run",
4    "identifier": "item",
5    "column_names": [
6        "id",
7        "name",
8        "price",
9        "category",
10        "date_added"
11    ],
12    "column_types": [
13        {
14            "name": "id",
15            "type": "number"
16        },
17        {
18            "name": "price",
19            "type": "double",
20            "format": "0.00"
21        },
22        {
23            "name": "date_added",
24            "type": "date",
25            "format": "YYYY-MM-DD"
26        }
27    ],
28    "use_utf8": true
29}

Sample Output

1{
2    "id": "csv_12345abcde",
3    "columns": [
4        {
5            "name": "id",
6            "type": "number"
7        },
8        {
9            "name": "name",
10            "type": "text"
11        },
12        {
13            "name": "price",
14            "type": "double",
15            "format": "0.00"
16        },
17        {
18            "name": "category",
19            "type": "text"
20        },
21        {
22            "name": "date_added",
23            "type": "date",
24            "format": "YYYY-MM-DD"
25        }
26    ],
27    "rows": 1000
28}

Delete a CSV
Copy

Delete a specific CSV created in Current Run and Account scope.

Sample Input

1{
2    "id": "csv_12345abcde"
3}

Sample Output

1{
2    "deleted": true
3}

Delete column
Copy

Delete a specific column in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "column": "Age",
4    "do_not_fail_on_non_existing": true
5}

Sample Output

1{
2    "success": true
3}

Delete columns
Copy

Delete multiple column in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "columns": [
4        "Age",
5        "Phone Number",
6        "Address"
7    ]
8}

Sample Output

1{
2    "success": true
3}

Delete Row
Copy

Delete a specific row in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "row": 3
4}

Sample Output

1{
2    "success": true
3}

Delete Rows
Copy

Delete a number of rows in the csv.

Sample Input

1{
2    "id": "csv_12345",
3    "start": 3,
4    "count": 2
5}

Sample Output

1{
2    "success": true
3}

Delete Rows By Filter
Copy

Delete all rows that match a specific filter.

Sample Input

1{
2    "id": "csv_12345",
3    "filters": [
4        {
5            "column": "age",
6            "operator": ">",
7            "value": "30"
8        },
9        {
10            "match_any": [
11                {
12                    "column": "city",
13                    "operator": "=",
14                    "value": "New York"
15                },
16                {
17                    "column": "city",
18                    "operator": "=",
19                    "value": "Los Angeles"
20                }
21            ]
22        }
23    ]
24}

Sample Output

1{
2    "deleted": 15
3}

Duplicate
Copy

Create a copy of a specific CSV

Sample Input

1{
2    "id": "csv_12345abcde",
3    "scope": "account"
4}

Sample Output

1{
2    "id": "csv_67890fghij"
3}

Duplicate Column
Copy

Duplicate a specific column in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "column": "First Name",
4    "new_name": "First Name Copy"
5}

Sample Output

1{
2    "success": true
3}

Export CSV
Copy

Export an in memory CSV into a file for persistence and use elsewhere.

Sample Input

1{
2    "id": "csv_12345",
3    "include_header": true,
4    "name": "employee_data.csv",
5    "sort": [
6        {
7            "name": "last_name",
8            "direction": "ASC"
9        },
10        {
11            "name": "first_name",
12            "direction": "ASC"
13        }
14    ],
15    "delimiter": "comma",
16    "escape_char": "\"",
17    "enclose_char": "\"",
18    "force_enclose": true,
19    "enclose_headers": false,
20    "rfc_4180": {
21        "enabled": true,
22        "lines_terminated_by": "\n"
23    },
24    "null_override_options": {
25        "text_null_override": "N/A",
26        "number_null_override": 0
27    },
28    "filters": [
29        {
30            "column": "department",
31            "operator": "=",
32            "value": "Sales"
33        },
34        {
35            "match_any": [
36                {
37                    "column": "salary",
38                    "operator": ">",
39                    "value": "50000"
40                },
41                {
42                    "column": "years_of_service",
43                    "operator": ">=",
44                    "value": "5"
45                }
46            ]
47        }
48    ]
49}

Sample Output

1{
2    "file": {
3        "name": "employee_data.csv",
4        "url": "https://example.com/files/employee_data.csv",
5        "mime_type": "text/csv",
6        "expires": 1623456789
7    }
8}

Export File
Copy

Export an in memory CSV data into a plain text file using a template configuration

Sample Input

1{
2    "id": "csv_12345",
3    "name": "exported_data.csv",
4    "line_template": "{{Name}},{{Email}},{{Age}}",
5    "include_header": true,
6    "sort": [
7        {
8            "name": "Age",
9            "direction": "DESC"
10        }
11    ],
12    "mime_type": "text/csv",
13    "filters": [
14        {
15            "column": "Age",
16            "operator": ">",
17            "value": "25"
18        }
19    ]
20}

Sample Output

1{
2    "file": {
3        "name": "exported_data.csv",
4        "url": "https://example.com/files/exported_data.csv",
5        "mime_type": "text/csv",
6        "expires": 1623456789
7    }
8}

Export JSON
Copy

Export an in memory CSV into a JSON file for persistence and use elsewhere.

Sample Input

1{
2    "id": "csv_12345",
3    "name": "customer_data.json",
4    "row": 1,
5    "count": 100,
6    "export_individual_json_rows": false,
7    "file_structure": [
8        {
9            "key": "customer.id",
10            "column": "CustomerID"
11        },
12        {
13            "key": "customer.name",
14            "column": "FullName"
15        },
16        {
17            "key": "customer.email",
18            "column": "EmailAddress"
19        },
20        {
21            "key": "customer.address.street",
22            "column": "StreetAddress"
23        },
24        {
25            "key": "customer.address.city",
26            "column": "City"
27        },
28        {
29            "key": "customer.address.country",
30            "column": "Country"
31        },
32        {
33            "key": "customer.subscription.plan",
34            "column": "SubscriptionPlan"
35        },
36        {
37            "key": "customer.subscription.status",
38            "column": "SubscriptionStatus"
39        }
40    ]
41}

Sample Output

1{
2    "total": 100,
3    "file": {
4        "name": "customer_data.json",
5        "url": "https://example.com/files/customer_data.json",
6        "mime_type": "application/json",
7        "expires": 1623456789
8    }
9}

Find Row
Copy

Find the first row in the table that matches a specific filter.

Sample Input

1{
2    "id": "csv_12345",
3    "filters": [
4        {
5            "column": "age",
6            "operator": ">",
7            "value": "30"
8        },
9        {
10            "match_any": [
11                {
12                    "column": "city",
13                    "operator": "=",
14                    "value": "New York"
15                },
16                {
17                    "column": "city",
18                    "operator": "=",
19                    "value": "Los Angeles"
20                }
21            ]
22        }
23    ]
24}

Sample Output

1{
2    "found": true,
3    "row": "2",
4    "data": {
5        "name": "John Doe",
6        "age": "35",
7        "city": "New York",
8        "occupation": "Software Engineer"
9    }
10}

Find Rows By Filter
Copy

Find rows in the table that match a specific filter.

Sample Input

1{
2    "id": "csv_12345",
3    "filters": [
4        {
5            "match_all": [
6                {
7                    "column": "age",
8                    "operator": ">",
9                    "value": "30"
10                },
11                {
12                    "column": "city",
13                    "operator": "in",
14                    "value": [
15                        "New York",
16                        "Los Angeles",
17                        "Chicago"
18                    ]
19                }
20            ]
21        },
22        {
23            "match_any": [
24                {
25                    "column": "job_title",
26                    "operator": "like",
27                    "value": "%Manager%"
28                },
29                {
30                    "column": "salary",
31                    "operator": ">=",
32                    "value": "100000"
33                }
34            ]
35        }
36    ]
37}

Sample Output

1{
2    "found": true,
3    "rowCount": 3,
4    "data": [
5        {
6            "id": "1",
7            "name": "John Doe",
8            "age": "35",
9            "city": "New York",
10            "job_title": "Senior Manager",
11            "salary": "120000"
12        },
13        {
14            "id": "2",
15            "name": "Jane Smith",
16            "age": "42",
17            "city": "Los Angeles",
18            "job_title": "Director",
19            "salary": "150000"
20        },
21        {
22            "id": "3",
23            "name": "Mike Johnson",
24            "age": "38",
25            "city": "Chicago",
26            "job_title": "Project Manager",
27            "salary": "95000"
28        }
29    ]
30}

Format CSV
Copy

Change the characters (such as delimiter and escape character) used in a CSV. This operation may be required for CSVs with embedded new lines and quote character in cell values.

Sample Input

1{
2    "file": {
3        "name": "input.csv",
4        "url": "https://example.com/input.csv",
5        "mime_type": "text/csv",
6        "expires": 1623456789
7    },
8    "input_csv_characters": {
9        "delimiter": "comma",
10        "endline": "Unix / LF",
11        "escape_character": "\\",
12        "enclose_character": "\""
13    },
14    "output_csv_characters": {
15        "delimiter": "pipe",
16        "endline": "Windows / CRLF",
17        "escape_character": "\\",
18        "enclose_character": "'",
19        "force_quotes": true
20    }
21}

Sample Output

1{
2    "file": {
3        "name": "formatted_output.csv",
4        "url": "https://example.com/formatted_output.csv",
5        "mime_type": "text/csv",
6        "expires": 1623457789
7    }
8}

Generate columns from object
Copy

Generate a list of column descriptions from a JSON object (ignoring nested arrays and objects), and provide optional column type definitions to change the types of some fields.

Sample Input

1{
2    "object": {
3        "id": 1234,
4        "name": "John Doe",
5        "email": "john.doe@example.com",
6        "age": 30,
7        "is_active": true,
8        "registration_date": "2023-05-15T10:30:00Z",
9        "balance": 1234.56
10    },
11    "column_types_override": [
12        {
13            "name": "registration_date",
14            "type": "date",
15            "format": "YYYY-MM-DD"
16        },
17        {
18            "name": "balance",
19            "type": "double",
20            "format": "0,0.00"
21        }
22    ]
23}

Sample Output

1{
2    "result": {
3        "columns": [
4            {
5                "name": "id",
6                "type": "number"
7            },
8            {
9                "name": "name",
10                "type": "text"
11            },
12            {
13                "name": "email",
14                "type": "text"
15            },
16            {
17                "name": "age",
18                "type": "number"
19            },
20            {
21                "name": "is_active",
22                "type": "text"
23            },
24            {
25                "name": "registration_date",
26                "type": "date",
27                "format": "YYYY-MM-DD"
28            },
29            {
30                "name": "balance",
31                "type": "double",
32                "format": "0,0.00"
33            }
34        ],
35        "number_of_columns": 7
36    }
37}

Get Cell
Copy

Return the data in a specifc cell in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "row": 3,
4    "cell": "email"
5}

Sample Output

1{
2    "found": true,
3    "row": 3,
4    "cell": "email",
5    "data": "john.doe@example.com",
6    "type": "string"
7}

Get Column Count
Copy

Return the number of columns that are available in an in memory CSV.

Sample Input

1{
2    "id": "csv_12345"
3}

Sample Output

1{
2    "columns": 5
3}

Get column from rows
Copy

Return a single column from a number of rows from in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "column": "email",
4    "row": 2,
5    "count": 3
6}

Sample Output

1{
2    "found": true,
3    "total": 3,
4    "rows": [
5        "john.doe@example.com",
6        "jane.smith@example.com",
7        "mike.johnson@example.com"
8    ]
9}

Get Row
Copy

Return all columns from single row in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "row": 3
4}

Sample Output

1{
2    "found": true,
3    "row": 3,
4    "data": {
5        "name": "John Doe",
6        "email": "johndoe@example.com",
7        "age": "35",
8        "city": "New York"
9    }
10}

Get Row Count
Copy

Return the number of rows that are available in an in memory CSV. This doesn't take into account content.

Sample Input

1{
2    "id": "csv_12345"
3}

Sample Output

1{
2    "rows": 1000
3}

Get Rows
Copy

Return all columns from a number of rows from in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "row": 1,
4    "count": 3
5}

Sample Output

1{
2    "found": true,
3    "total": 3,
4    "rows": [
5        {
6            "Name": "John Doe",
7            "Email": "john.doe@example.com",
8            "Age": "35"
9        },
10        {
11            "Name": "Jane Smith",
12            "Email": "jane.smith@example.com",
13            "Age": "28"
14        },
15        {
16            "Name": "Bob Johnson",
17            "Email": "bob.johnson@example.com",
18            "Age": "42"
19        }
20    ]
21}

Import Data
Copy

Import an external CSV file into an existing in memory CSV

Sample Input

1{
2    "id": "csv_12345",
3    "file_url": "https://example.com/data.csv",
4    "has_header": true,
5    "delimiter": "comma",
6    "escape_char": "\\",
7    "enclose_char": "\"",
8    "end_line": "auto_detect",
9    "max_header_length": 10000,
10    "max_first_row_length": 65535,
11    "validate_csv_settings": true
12}

Sample Output

1{
2    "id": "csv_12345",
3    "success": true,
4    "rows": 1000
5}

Join CSVs
Copy

Join two CSVs together based on a common field, using a left, inner or outer join. Indexes will automatically be created on for the columns chosen.

Sample Input

1{
2    "left_id": "csv_123456",
3    "left_column": "employee_id",
4    "right_id": "csv_789012",
5    "right_column": "id",
6    "join": "Inner",
7    "scope": "current_run"
8}

Sample Output

1{
2    "id": "csv_345678",
3    "columns": [
4        {
5            "name": "employee_id",
6            "type": "string",
7            "format": ""
8        },
9        {
10            "name": "first_name",
11            "type": "string",
12            "format": ""
13        },
14        {
15            "name": "last_name",
16            "type": "string",
17            "format": ""
18        },
19        {
20            "name": "department",
21            "type": "string",
22            "format": ""
23        },
24        {
25            "name": "salary",
26            "type": "number",
27            "format": "currency"
28        }
29    ],
30    "rows": 150
31}

Parse Text
Copy

Parse raw CSV text into a list of rows

Sample Input

1{
2    "text": "Name,Age,City\nJohn Doe,30,New York\nJane Smith,25,Los Angeles\nMike Johnson,35,Chicago",
3    "delimiter": "comma",
4    "escape_char": "\""
5}

Sample Output

1{
2    "rows": [
3        [
4            "Name",
5            "Age",
6            "City"
7        ],
8        [
9            "John Doe",
10            "30",
11            "New York"
12        ],
13        [
14            "Jane Smith",
15            "25",
16            "Los Angeles"
17        ],
18        [
19            "Mike Johnson",
20            "35",
21            "Chicago"
22        ]
23    ]
24}

Rename Column
Copy

Rename a specific column in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "column": "First Name",
4    "new_name": "Given Name"
5}

Sample Output

1{
2    "success": true
3}

Rename Columns
Copy

Rename a number column in the CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "columns": [
4        {
5            "column": "First Name",
6            "new_name": "FirstName"
7        },
8        {
9            "column": "Last Name",
10            "new_name": "LastName"
11        },
12        {
13            "column": "Phone Number",
14            "new_name": "PhoneNumber"
15        }
16    ]
17}

Sample Output

1{
2    "success": true
3}

Sort CSV
Copy

Sorts a CSV.

Sample Input

1{
2    "id": "csv_12345",
3    "sort": [
4        {
5            "name": "Age",
6            "direction": "ASC"
7        },
8        {
9            "name": "LastName",
10            "direction": "DESC"
11        }
12    ],
13    "make_copy": true
14}

Sample Output

1{
2    "id": "csv_67890",
3    "success": true
4}

Update by Function
Copy

Update a single column in multiple rows using a function

Sample Input

1{
2    "id": "csv_123456",
3    "column": "email",
4    "function": {
5        "trim__text": {
6            "column__name": "email"
7        }
8    },
9    "filters": [
10        {
11            "column": "status",
12            "operator": "=",
13            "value": "active"
14        }
15    ]
16}

Sample Output

1{
2    "affected_rows": 150
3}

Update Cell
Copy

Update a specific cell in the CSV

Sample Input

1{
2    "id": "csv_12345",
3    "row": 3,
4    "cell": "Email",
5    "value": "john.doe@example.com"
6}

Sample Output

1{
2    "success": true
3}

Update Rows by Filter
Copy

Set new values in all rows matching given filters, in the CSV

Sample Input

1{
2    "id": "csv_12345",
3    "cells": {
4        "Status": "Completed",
5        "LastUpdated": "2023-05-15"
6    },
7    "stringify_boolean": true,
8    "filters": [
9        {
10            "column": "OrderDate",
11            "operator": ">=",
12            "value": "2023-01-01"
13        },
14        {
15            "match_any": [
16                {
17                    "column": "Category",
18                    "operator": "=",
19                    "value": "Electronics"
20                },
21                {
22                    "column": "Category",
23                    "operator": "=",
24                    "value": "Appliances"
25                }
26            ]
27        }
28    ]
29}

Sample Output

1{
2    "success": true,
3    "missing_columns": [],
4    "updated": 150
5}

Operations (sample payloads)

Main operationsCopy

Add ColumnCopy

Add RowCopy

Add RowsCopy

Create CSVCopy

Create CSV From FileCopy

Create CSV From XLSX FileCopy

Create CSV From XML FileCopy

Delete a CSVCopy

Delete columnCopy

Delete columnsCopy

Delete RowCopy

Delete RowsCopy

Delete Rows By FilterCopy

DuplicateCopy

Duplicate ColumnCopy

Export CSVCopy

Export FileCopy

Export JSONCopy

Find RowCopy

Find Rows By FilterCopy

Format CSVCopy

Generate columns from objectCopy

Get CellCopy

Get Column CountCopy

Get column from rowsCopy

Get RowCopy

Get Row CountCopy

Get RowsCopy

Import DataCopy

Join CSVsCopy

Parse TextCopy

Rename ColumnCopy

Rename ColumnsCopy

Sort CSVCopy

Update by FunctionCopy

Update CellCopy

Update Rows by FilterCopy

Overview

Operations

Main operations
Copy

Add Column
Copy

Add Row
Copy

Add Rows
Copy

Create CSV
Copy

Create CSV From File
Copy

Create CSV From XLSX File
Copy

Create CSV From XML File
Copy

Delete a CSV
Copy

Delete column
Copy

Delete columns
Copy

Delete Row
Copy

Delete Rows
Copy

Delete Rows By Filter
Copy

Duplicate
Copy

Duplicate Column
Copy

Export CSV
Copy

Export File
Copy

Export JSON
Copy

Find Row
Copy

Find Rows By Filter
Copy

Format CSV
Copy

Generate columns from object
Copy

Get Cell
Copy

Get Column Count
Copy

Get column from rows
Copy

Get Row
Copy

Get Row Count
Copy

Get Rows
Copy

Import Data
Copy

Join CSVs
Copy

Parse Text
Copy

Rename Column
Copy

Rename Columns
Copy

Sort CSV
Copy

Update by Function
Copy

Update Cell
Copy

Update Rows by Filter
Copy