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X / Twitter Public Data
Selected accounts
Configured job
PostgreSQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
X / Twitter Public Data
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
This example summarizes impressions, reach, engagements, and engagement rate by post.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Add X / Twitter Public Data in Sources and connect the existing PostgreSQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "media".
Select concrete X / Twitter Public Data fields such as Bookmark Count, Followers Count, Following Count, 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.
Define the first X / Twitter Public Data fetch, run frequency, and lookback window in the "media" job. Each scheduled run replaces data inside the configured period.
Use a supported date field to partition "media". Recurring X / Twitter Public Data runs can then update the selected window instead of adding another copy of the same period.
With X / Twitter Public Data data, a PostgreSQL query can summarize impressions, reach, engagements, and engagement rate by post. Model Bookmark Count and Followers Count in SQL, then expose the result to dashboards, internal tools, or recurring client reports.
Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that 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.
Our teams is always here to responds to any question you could have about our data connector.
Connect your marketing platforms and build a data workflow your entire agency can use.
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