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Export from Bitly to BigQuery

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Bitly plugin allows you to sync data from Bitly to any destination, including BigQuery. It takes only minutes to get started.

Bitly
bitly
Official

Bitly

This plugin is in preview.

Sync Bitly links stats to a destination of your choice.

Publisher

cloudquery

Repositorygithub.com
Latest version

v1.1.1

Type

Source

Platforms
Date Published

BigQuery
bigquery
Official

BigQuery

The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.1.1

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure Bitly source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  name: "bitly"
  registry: "docker"
  path: "docker.cloudquery.io/cloudquery/source-bitly:v1.0.0"
  tables: ['*']
  destinations: ["sqlite"]
  spec:
    group_id: ${BITLY_GROUP_ID}     # mandatory
    api_token: ${BITLY_API_TOKEN}   # mandatory
    extract_utm: true               # optional. If set, extracts utm_tags from the long_url into separate columns
    # optional. unit to use to query last 1 {unit} of clicks by a country. Default: month. Values: hour, day, week, month.
    #countries_summary_unit: "month" 
    # optional. unit to use to query last 1 {unit} of clicks by a referrer. Default: month. Values: hour, day, week, month.
    #referrers_summary_unit: "month"

Step 4. Configure BigQuery destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: bigquery
  path: cloudquery/bigquery
  registry: cloudquery
  version: "v4.1.1"
  write_mode: "append"
  # Learn more about the configuration options at https://cql.ink/bigquery_destination
  spec:
    project_id: ${PROJECT_ID}
    dataset_id: ${DATASET_ID}
    # Optional parameters
    # dataset_location: ""
    # time_partitioning: none # options: "none", "hour", "day"
    # service_account_key_json: ""
    # endpoint: ""
    # batch_size: 10000
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 10s

Step 5. Run Sync

cloudquery sync bitly.yml bigquery.yml

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