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---
icon: microblog
description: >-
A ticker matched lobbying data to see fine-grained corporate lobbying
behaviour.
---
# Lobbying Data
> **Data Notice**: This dataset provides academic research access with a 6-month data lag.
> For real-time data access, please visit [sov.ai](https://sov.ai) to subscribe.
> For market insights and additional subscription options, check out our newsletter at [blog.sov.ai](https://blog.sov.ai).
```python
from datasets import load_dataset
df_lobbying = load_dataset("sovai/lobbying_data", split="train").to_pandas().set_index(["ticker","date"])
```
Data is updated weekly as data arrives after market close US-EST time.
`Tutorials` are the best documentation — [<mark style="color:blue;">`Lobbying Data Tutorial`</mark>](https://colab.research.google.com/github/sovai-research/sovai-public/blob/main/notebooks/datasets/Lobbying%20Analysis.ipynb)
<table data-column-title-hidden data-view="cards"><thead><tr><th>Category</th><th>Details</th></tr></thead><tbody><tr><td><strong>Input Datasets</strong></td><td>Lobbying Filings</td></tr><tr><td><strong>Models Used</strong></td><td>Parsing, Scraping</td></tr><tr><td><strong>Model Outputs</strong></td><td>Lobbying Data</td></tr></tbody></table>
## Description
This dataset provides detailed information on corporate lobbying activities, including spending amounts, issues lobbied, and involved entities for various companies.&#x20;
It offers investors, researchers, and policymakers valuable insights into corporate influence on policy-making, regulatory trends, and potential political risks, enabling more informed decision-making in areas like ESG investing, competitive analysis, and public policy research.
***
## Data Access
#### Lobbying Dataset
The Lobbying dataset provides detailed information on lobbying activities, including client information, spending, and lobbying issues for various companies.
<pre class="language-python"><code class="lang-python"><strong>import sovai as sov
</strong><strong>df_lobbying = sov.data("lobbying/public")
</strong></code></pre>
#### Accessing Specific Tickers
You can also retrieve data for specific tickers. For example:
```python
df_ticker_lobbying = sov.data("lobbying/public", tickers=["WFC", "EXPGY"])
```
This documentation provides a clear guide on how to access the dataset, and can be easily extended or modified as needed for additional details.
## Data Dictionary
| Column Name | Description |
| --------------------------------- | ----------------------------------------------------------------------- |
| client | Name of the client company |
| client\_description | Description of the client's business |
| spend | Amount spent on lobbying |
| transaction\_type | Type of transaction (e.g., lobbying\_income, direct\_lobbying\_expense) |
| filing\_type | Type of filing |
| lobby\_description | Description of lobbying activities |
| issue\_codes | Codes representing the issues lobbied on |
| government\_entity\_details | Government entities involved |
| quarter | Quarter of the lobbying activity |
| effective\_date | Start date of the lobbying activity |
| termination\_date | End date of the lobbying activity (if applicable) |
| client\_state | State of the client |
| client\_country | Country of the client |
| client\_id | Unique identifier for the client |
| government\_lobby | Indicator for government lobbying |
| performing\_own\_lobbying | Indicator if the client is performing their own lobbying |
| registrant\_dt\_updated | Date the registrant information was updated |
| registrant\_name | Name of the lobbying registrant |
| registrant\_address | Address of the lobbying registrant |
| registrant\_id | Unique identifier for the registrant |
| registrant\_description | Description of the registrant |
| registrant\_contact\_name | Contact name for the registrant |
| registrant\_house\_registrant\_id | House ID for the registrant |
| registrant\_contact\_telephone | Contact telephone for the registrant |
| lobbyist\_full\_names | Names of the lobbyists involved |
| lobbyist\_ids | Unique identifiers for the lobbyists |
| previous\_goverment\_positions | Previous government positions held by lobbyists |
| lobbyist\_new\_statuses | New status indicators for lobbyists |
| client\_url | URL for client information |
| registrant\_url | URL for registrant information |
| filing\_url | URL for the filing |
| filing\_id | Unique identifier for the filing |
| unique\_id | Unique identifier for the record |
| match | Matched client name |
| date\_time | Date and time of the record |
| ticker | Stock ticker symbol of the client company |
| date | Date of the lobbying activity |
## Use Cases
1. Corporate Influence Analysis: Examine how companies allocate resources to influence policy-making.
2. Sector Trends: Identify trends in lobbying activities across different sectors or industries.
3. Regulatory Impact Assessment: Analyze the relationship between lobbying efforts and regulatory outcomes.
4. ESG Research: Incorporate lobbying data into Environmental, Social, and Governance (ESG) assessments.
5. Political Risk Analysis: Evaluate potential political risks for companies based on their lobbying activities.
6. Corporate Strategy Insights: Gain insights into companies' strategic priorities by analyzing their lobbying focus areas.
7. Competitive Intelligence: Compare lobbying activities among competitors in the same industry.
8. Public Policy Research: Study the influence of corporate lobbying on public policy development.
9. Investor Due Diligence: Provide additional context for investor research and due diligence processes.
10. Transparency Reporting: Support corporate transparency initiatives by analyzing and reporting on lobbying activities.&#x20;
This dataset forms a comprehensive resource for analyzing corporate lobbying activities, enabling detailed examination of spending patterns, issue focus, and potential policy influences across different companies and sectors.
***