Python Package for LinkedIn Ad Management
Budget: $1,500 – $3,000 USD
Development of a Python Package for LinkedIn Ad Campaign Creation and Management
Overview:
We are seeking a highly skilled Python developer to create a comprehensive Python package / SDK that automates the creation of LinkedIn Ad campaigns, and provides robust functionality for managing and analyzing existing campaigns. This package will empower users to create, monitor, and manage LinkedIn Ad campaigns tailored to a specific target list provided by the user.
Project Objectives: Python Package / SDK Development
Build a Python package that interfaces with the LinkedIn Ads API to perform end-to-end ad campaign management.
Design the package to be modular, user-friendly, and extensible for future enhancements.
Key Features:
1) Campaign Creation
Allow users to define campaign objectives, ad creatives (text, image, or video ads), budgets, bidding strategies, and scheduling.
Provide functionality to upload and use a predefined target list (e.g., LinkedIn profile URLs, emails, industries, or company names) for audience targeting.
Include options for advanced targeting, such as job titles, locations, skills, or demographics.
2) Campaign Management
- View Existing Campaigns: Retrieve a list of all active, paused, or completed campaigns along with detailed metadata (e.g., campaign name, status, budget, spend, audience size).
- Modify Campaigns: Allow users to update campaign parameters such as budgets, schedules, or targeting criteria.
- Pause/Resume Campaigns: Add functionality to pause or resume specific campaigns.
- Cancel Campaigns: Enable users to terminate campaigns permanently.
3) Campaign Analytics
- Provide access to performance metrics, such as:
Impressions, clicks, CTR (click-through rate), and conversions.
Cost-per-click (CPC) and cost-per-conversion.
Audience engagement insights and demographic breakdowns.
- Allow users to retrieve performance data for specific campaigns or groups of campaigns within a given date range.
4) Scalability and Performance
- Ensure the package can handle multiple campaigns concurrently and work seamlessly with large target lists.
5) Documentation and Usability:
- Create detailed documentation, including setup instructions, step-by-step usage guides, and API references.
- Provide prebuilt example scripts for common use cases (e.g., creating a new campaign, pausing campaigns, generating reports).
- Implement intuitive error handling with clear logs and actionable error messages.
6) Testing Environment:
Include a "sandbox mode" for testing the package without affecting live campaigns or consuming the user’s budget.
Skills Required:
Proficient in Python and RESTful API integration.
Experience with LinkedIn Ads API or other advertising platform APIs.
Familiarity with creating Python packages (e.g., PyPI).
Deliverables:
- A fully functional Python package with all features mentioned above.
- Unit tests for critical functionalities to ensure reliability.
- Comprehensive documentation, including:
Setup and installation instructions.
Examples demonstrating each key feature.
Troubleshooting guide.
- Source code, delivered via GitHub (or preferred repository platform), with clear version control and commits.
Overview:
We are seeking a highly skilled Python developer to create a comprehensive Python package / SDK that automates the creation of LinkedIn Ad campaigns, and provides robust functionality for managing and analyzing existing campaigns. This package will empower users to create, monitor, and manage LinkedIn Ad campaigns tailored to a specific target list provided by the user.
Project Objectives: Python Package / SDK Development
Build a Python package that interfaces with the LinkedIn Ads API to perform end-to-end ad campaign management.
Design the package to be modular, user-friendly, and extensible for future enhancements.
Key Features:
1) Campaign Creation
Allow users to define campaign objectives, ad creatives (text, image, or video ads), budgets, bidding strategies, and scheduling.
Provide functionality to upload and use a predefined target list (e.g., LinkedIn profile URLs, emails, industries, or company names) for audience targeting.
Include options for advanced targeting, such as job titles, locations, skills, or demographics.
2) Campaign Management
- View Existing Campaigns: Retrieve a list of all active, paused, or completed campaigns along with detailed metadata (e.g., campaign name, status, budget, spend, audience size).
- Modify Campaigns: Allow users to update campaign parameters such as budgets, schedules, or targeting criteria.
- Pause/Resume Campaigns: Add functionality to pause or resume specific campaigns.
- Cancel Campaigns: Enable users to terminate campaigns permanently.
3) Campaign Analytics
- Provide access to performance metrics, such as:
Impressions, clicks, CTR (click-through rate), and conversions.
Cost-per-click (CPC) and cost-per-conversion.
Audience engagement insights and demographic breakdowns.
- Allow users to retrieve performance data for specific campaigns or groups of campaigns within a given date range.
4) Scalability and Performance
- Ensure the package can handle multiple campaigns concurrently and work seamlessly with large target lists.
5) Documentation and Usability:
- Create detailed documentation, including setup instructions, step-by-step usage guides, and API references.
- Provide prebuilt example scripts for common use cases (e.g., creating a new campaign, pausing campaigns, generating reports).
- Implement intuitive error handling with clear logs and actionable error messages.
6) Testing Environment:
Include a "sandbox mode" for testing the package without affecting live campaigns or consuming the user’s budget.
Skills Required:
Proficient in Python and RESTful API integration.
Experience with LinkedIn Ads API or other advertising platform APIs.
Familiarity with creating Python packages (e.g., PyPI).
Deliverables:
- A fully functional Python package with all features mentioned above.
- Unit tests for critical functionalities to ensure reliability.
- Comprehensive documentation, including:
Setup and installation instructions.
Examples demonstrating each key feature.
Troubleshooting guide.
- Source code, delivered via GitHub (or preferred repository platform), with clear version control and commits.