Last active
December 6, 2018 14:42
-
-
Save chipoglesby/a9c821eec94fb72ba40a to your computer and use it in GitHub Desktop.
An example script of how to load data via an API (in this case, CallRail) into Google BigQuery as a newline JSON file
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| function bigQueryRun() { | |
| projectId = "xxx"; // Replace xxx with your project id | |
| datasetId = "xxx"; // Replace xxx with your dataset id | |
| tableId = "xxx"; // Replace xxx with your | |
| yesterday = new Date(); | |
| yesterday.setDate(yesterday.getDate() - 29); | |
| var yesterday = Utilities.formatDate(yesterday, 'UTC', 'yyyy-MM-dd'); | |
| options = {"headers": {"authorization": "Token token=\"xxx\""}}; // Replace xxx with your API token | |
| response = UrlFetchApp.fetch('https://api.callrail.com/v1/calls.json?start_date=2015-01-01&end_date='+yesterday+'&per_page=250',options); | |
| pages = JSON.parse(response.getContentText()); | |
| total_pages = pages.total_pages; | |
| data = []; | |
| for (var i = 1; i < total_pages;i++) { | |
| response = UrlFetchApp.fetch('https://api.callrail.com/v1/calls.json?start_date=2015-01-01&end_date='+yesterday+'&per_page=250&page='+[i],options); | |
| dataAll = JSON.parse(response.getContentText()); | |
| for (j in dataAll.calls) { | |
| calls = dataAll.calls[j]; | |
| callPush = JSON.stringify({'caller_state':calls.caller_state, | |
| 'caller_zip':calls.caller_zip, | |
| 'caller_city':calls.caller_city, | |
| 'answered':calls.answered, | |
| 'caller_name':calls.caller_name, | |
| 'keywords':calls.keywords, | |
| 'utm_source':calls.utm_source, | |
| 'utm_medium':calls.utm_medium, | |
| 'utm_term':calls.utm_term, | |
| 'utm_content':calls.utm_content, | |
| 'utm_campaign':calls.campaign, | |
| 'gclid':calls.gclid, | |
| 'first_call':calls.first_call, | |
| 'customer_phone_number':calls.customer_phone_number, | |
| 'tracking_number':calls.tracking_number, | |
| 'formated_duration':calls.duration, | |
| 'created_at':calls.created_at, | |
| 'source_name':calls.source_name, | |
| 'source_type':calls.source_type, | |
| 'medium':calls.medium, | |
| 'ga':calls.ga, | |
| 'device_type':calls.device_type}); | |
| data.push(callPush); | |
| } | |
| } | |
| var data = data.join("\n"); | |
| blobData = Utilities.newBlob(data, "application/octet-stream"); | |
| job = { | |
| configuration: { | |
| load: { | |
| destinationTable: { | |
| projectId: projectId, | |
| datasetId: datasetId, | |
| tableId: tableId | |
| }, | |
| sourceFormat: "NEWLINE_DELIMITED_JSON", | |
| } | |
| } | |
| } | |
| job = BigQuery.Jobs.insert(job, projectId, blobData); | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment