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LinkedIn Company Pages BigQuery

Connect LinkedIn Company Pages to BigQuery

Send LinkedIn Company Pages page: lifetime overview, page: performance insights, page: cumulative posts performance and 6 more report types to BigQuery on a schedule. Pick the pages, choose metrics and dimensions and filter by date. Refresh as often as every 15 minutes.

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BigQuery dataset linkedin_company_pages
  • page_lifetime_overview
  • page_performance_insights
  • page_cumulative_posts_performance
  • page_follower_gains_trend
  • page_follower_demographics_insights
  • 4 more report types
Each LinkedIn Company Pages report type lands in its own table. You pick the dataset and table names.
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How to connect LinkedIn Company Pages and BigQuery

7 steps. You can preview the LinkedIn Company Pages data in Coupler.io before anything reaches BigQuery.

Step 1 of 7

Connect LinkedIn Company Pages

Sign in to LinkedIn Company Pages and authorize Coupler.io. There's no API key to copy.

Sign in with LinkedIn Company Pages

Step 2 of 7

Choose what to export

Pick the LinkedIn Company Pages data you want in BigQuery.

Page

Audience

Post

Show 1 more report type Show fewer report types

Post

PagesNot setSpecify pages from where you want to extract data.

Step 3 of 7

Set the report period

Choose the date range the report covers.

Start dateAny date
End dateAny date
Split data by periodNot setSpecify the period by which you want to split the report data.

Step 4 of 7

Dimensions

Breakdown dimensionNot setSelect a value for “breakdown dimension”, e.g. “Totals only”, “Day”, “Month”.
DimensionNot setSelect a value for “dimension”, e.g. “Seniority”, “Country”, “Industry”.

Step 5 of 7

Metrics

MetricsNot setSelect one or more values for “metrics”, e.g. “Views”, “Viewers”, “Time viewed (ms)”, “Time viewed for views (ms)”.

Step 6 of 7

Connect BigQuery

Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the LinkedIn Company Pages data.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset namelinkedin_company_pagesExactly as it appears in BigQuery
Table namepage_lifetime_overviewExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

Step 7 of 7

Choose a write mode and schedule

Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.

Write mode

Each run overwrites page_lifetime_overview with fresh LinkedIn Company Pages data.

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Get the most of LinkedIn Company Pages to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
LinkedIn Company Pages to BigQuery questions

9 report types, including Page: lifetime overview, Page: performance insights, Page: cumulative posts performance, Page: follower gains trend and Page: follower demographics insights.

You sign in to LinkedIn Company Pages and authorize Coupler.io. There's no API key to copy.

Yes. Set the start date and end date to cover the period you need. Splitting the data by period is available too.

Yes. Pick from 4 metrics.

Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with LinkedIn Company Pages data.

Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches BigQuery.

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