Load Pipedrive
Data to The Local Filesystem
with dlt
in Python
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Loading data from Pipedrive
to The Local Filesystem
using the open-source Python library dlt
is a straightforward process. Pipedrive
is a CRM tool designed to help businesses manage leads, deals, and automate sales processes. The Local Filesystem
destination allows you to store data in a local folder, making it easy to create data lakes. With dlt
, you can load data from Pipedrive
and store it in various formats such as JSONL, Parquet, or CSV. For more information about Pipedrive
, visit their website.
dlt
Key Features
- Governance Support:
dlt
pipelines offer robust governance through pipeline metadata, schema enforcement, and schema change alerts. Learn more - Schema Enforcement and Curation: Ensure data consistency and quality by enforcing and curating schemas. Read more
- Scaling and Finetuning:
dlt
offers mechanisms and configuration options to scale up and finetune pipelines, including parallel processing and memory management. Read more - Building Data Pipelines: Comprehensive guide on building data pipelines from scratch with
dlt
, covering basic to advanced usage. Learn more - Tutorial for Data Pipeline: Step-by-step tutorial to build a data pipeline with
dlt
, including fetching data from APIs and managing data loading behaviors. Read more
Getting started with your pipeline locally
0. Prerequisites
dlt
requires Python 3.8 or higher. Additionally, you need to have the pip
package manager installed, and we recommend using a virtual environment to manage your dependencies. You can learn more about preparing your computer for dlt in our installation reference.
1. Install dlt
First you need to install the dlt
library with the correct extras for The Local Filesystem
:
pip install "dlt[filesystem]"
The dlt
cli has a useful command to get you started with any combination of source and destination. For this example, we want to load data from Pipedrive
to The Local Filesystem
. You can run the following commands to create a starting point for loading data from Pipedrive
to The Local Filesystem
:
# create a new directory
mkdir pipedrive_pipeline
cd pipedrive_pipeline
# initialize a new pipeline with your source and destination
dlt init pipedrive filesystem
# install the required dependencies
pip install -r requirements.txt
The last command will install the required dependencies for your pipeline. The dependencies are listed in the requirements.txt
:
dlt[filesystem]>=0.3.5
You now have the following folder structure in your project:
pipedrive_pipeline/
├── .dlt/
│ ├── config.toml # configs for your pipeline