Import Text to Salesforce Automatically
Need to upload CSV or fixed-width text files to Salesforce quickly and reliably? With Advanced ETL Processor, you can automate Salesforce imports without writing code, using wizards, or relying on third-party APIs. It’s the ideal solution for syncing leads, contacts, opportunities, or custom objects from flat files into Salesforce CRM.
Why Integrate Text Files with Salesforce?
Sales teams and marketers often rely on third-party lists, exported reports, and partner data - typically delivered in CSV or text formats. Manually importing this data through Salesforce’s Data Import Wizard can be time-consuming and error-prone. Automating the process ensures accuracy, saves time, and reduces operational friction.
Why Use Advanced ETL Processor?
- Automated Salesforce import with zero scripting
- Supports CSV, tab-delimited, fixed-width, and custom formats
- Drag-and-drop data transformation and field mapping
- Native Salesforce API support with error handling
- Built-in scheduling, logging, and job control
How to Import Text Files to Salesforce
- Launch Advanced ETL Processor
- Create a Directory Connection
Select the folder containing your input CSV or text files. - Connect to Salesforce
Use your Salesforce credentials or OAuth token. Choose production or sandbox. - Create a New Transformation
- Right-click your transformation group → New
- Configure the Text Reader
- Apply file mask like
*.csvor*.txt - Set delimiter, encoding, and header options
- Apply file mask like
- Configure Salesforce Writer
- Select the object you want to update (e.g. Lead, Contact, Opportunity, or a custom object)
- Choose operation: Insert, Update, Upsert, Delete
- Map Fields and Transform
- Drag-and-drop source fields to Salesforce fields
- Apply transformations like date formatting, trimming, and validation
- Execute and Review
- Click Execute to run the import
- Use logs to review status, error messages, and API results
- Schedule and Automate
- Run jobs on a schedule (hourly, daily, weekly)
- Trigger on file creation or system events
Where this import fits
Import Text to Salesforce is useful when Text data needs to feed Salesforce, reporting databases, operational systems, migration jobs, or downstream ETL workflows. Use it when the same import needs validation, mapping, transformations, scheduling, and logs instead of another manual load.
Do not automate the import until the source layout, target table, key fields, write mode, and failure behaviour are agreed. Automation repeats rules; it does not rescue unclear ones.
Useful links for this import
Start with the Advanced ETL Processor Enterprise overview, then download the fully functional 30-day trial. The import-data hub lists the other Text import workflows.
Business usage examples
Import lead lists from marketing campaigns
Import Text data into Salesforce with a repeatable, logged workflow instead of a manual load.
Sync order or billing data with Salesforce objects
Import Text data into Salesforce with a repeatable, logged workflow instead of a manual load.
Regularly update contact details from exported systems
Import Text data into Salesforce with a repeatable, logged workflow instead of a manual load.
Watch It in Action
FAQ
Can Advanced ETL Processor import Text to Salesforce?
Yes. Advanced ETL Processor can read Text, map fields, validate data, write to Salesforce, and log the import.
Do I need to write scripts for the import?
No scripting is required for the normal import workflow. You can configure the reader, writer, mapping, validation, and schedule visually.
Can the Text import run on a schedule?
Yes. The package can run on a schedule, process matching Text files, archive originals, and write rows to Salesforce with the same validation rules each time.
Can imported data be transformed before loading?
Yes. You can clean values, convert data types, calculate fields, split columns, and apply lookup rules before writing to the target.
Can bad rows be logged or rejected?
Yes. Add validation rules so rejected rows, failed files, row counts, and error details are visible after each run.
What should I check before the first production import?
Check source layout, target table, key fields, data types, date formats, write mode, archive folder, and failure handling.
When should I not automate the import yet?
Do not automate it until the source layout, target table, key fields, and bad-row handling are clear. Automation repeats rules; it does not invent them.
Can I test the import before buying?
Yes. Download the fully functional 30-day trial, build one small import, and test it with a deliberately awkward sample file.
Stop struggling with fragile ETL scripts. Start shipping reliable workflows.
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