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Connect Instagram Public Data to PostgreSQL

Connect Instagram Public Data to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Instagram Public Data API pipeline.

Used by the world's leading companies

Export Instagram Public Data data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Instagram Public Data data in PostgreSQL

Bring all your Instagram Public Data data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your PostgreSQL tables up to date

Automatically sync new data from Instagram Public Data so every dashboard, model, and report works with fresh information.

Analysis

Unify Instagram Public Data with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Instagram Public Data metrics and dimensions available in PostgreSQL

Access 5 metrics and 30 dimensions from Instagram Public Data connectors including Profile Followers, Profile Follows, Profile Post Count, Media Likes, Comments, Username, Name, Post Type, Post Caption, Post Hashtags, Link To Post, Post Created, Date and many more...

5

Metrics availables

30

Dimensions availables

Connect Instagram Public Data to PostgreSQL in minutes

Move your data from Instagram Public Data to PostgreSQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Instagram Public Data account

Authenticate your Instagram Public Data account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Instagram Public Data 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

Review 30-day Instagram Public Data organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

Instagram Public Data.sql
BigQuery SQL
30-day window
SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.instagram_public_data_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into PostgreSQL.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How can I connect Instagram Public Data to an existing PostgreSQL database?

Start with a connected Instagram Public Data source and an existing PostgreSQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "media" table.

Which Instagram Public Data metrics and dimensions can be sent to PostgreSQL?

Select concrete Instagram Public Data fields such as Comments, Profile Followers, Profile Follows, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as accounts, profiles, and posts.

What controls the refresh window for Instagram Public Data data in PostgreSQL?

Set an initial fetch period for Instagram Public Data, then choose the frequency and lookback window for the job writing to "media". Catchr rewrites that selected period on each run.

How can I keep recurring Instagram Public Data imports from duplicating rows?

The partition field tells Catchr which Instagram Public Data rows in "media" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What can agencies build with Instagram Public Data data in PostgreSQL?

With Instagram Public Data data, a PostgreSQL query can summarize impressions, reach, engagements, and engagement rate by post. A query built around Comments and Profile Followers can support trend reviews, account comparisons, and operational reporting.

Does my PostgreSQL database need to exist before I connect it?

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Postgres database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

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