Getting Started Main Features Examples

How to Scrape Corporate Data from SEC States

2018-10-24 13:43:10
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Abstract:In this article, we will tell you how to scrape corporate data from SEC States using ScrapeStorm’s "Smart mode".

In this article, we will tell you how to scrape corporate data from SEC States using ScrapeStorm’s “Smart mode“.

Introduction to the scraping tool

ScrapeStorm is a new generation of web scraping tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.

Introduction of scraping objects

Find information on any corporation or business entity in the United States by performing a search on the Secretary of State website of the state or territory where that corporation is registered. Use the links below to jump straight to the correct search page. This site is not affiliated with any government entity and there is no charge to use it. While most state websites provide basic registration information for free, there are some that may require a fee for more detailed information.

Official Website: https://www.secstates.com/

Scraping fields

Corporate Name, title_link, Document Number, Status, FE/EIN Number, Date Field, Principal Address, Mailing Address, Annual Reports

Function point directory

How to extract the list page plus the detail page

Preview of the scraped result

Export to Excel2007:

Let’s take a closer look at how to scrape corporate data from SEC States. The specific steps are as follows:

1. Download and install ScrapeStorm, then register and log in

(1) Open the ScrapeStorm official website, download and install the latest version.

(2) Click Register/Login to register a new account and then log in to ScrapeStorm.

2. Create a task

(1) Copy the URL of SEC States

Click here to learn more about how to enter the URL correctly.

(2) Create a new smart mode task

You can create a new scraping task directly on the software, or you can create a task by importing rules.

Click here to learn how to import and export scraping rule.

3. Configure the scraping rules

(1) Set the fields

Intelligent mode automatically recognizes the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.

Click here to learn how to how to configure the extracted field.

The results of the field settings are as follows:

(2) Use the “Scrape into” feature to scrape the detail page data

There is only partial data on the list page, you can use the “scrape into” function to enter the detail page to scrape the data.

Click here to learn how to extract the list page plus the detail page.

On the details page we add the required fields: FE/EIN Number, Date Field, Principal Address, Mailing Address, Annual Reports

4. Set up and start the scraping task

(1) Running and Anti-block settings

Click “Setting”, set waiting time based on web page open speed. You can check “Block Images” and “Block Ads”. The anti-block settings follow the system default settings. Then click “Save”.

Click here to learn more about how to configure the scraping task.

P.S. “Block Images” will reduce the load time and speed up the scraping process. And this operation does not affect the scraping and downloading of images.

(2) Start scraping data

Premium Plan and above users can use “Scheduled job” and “Sync to Database”. If you want to download images, you can check “Download images while running”. Then click “Start”.

Click here to learn about scheduled job.

Click here to learn about sync to database.

Click here to learn about download images.

(3) Wait a moment, you will see the data being scraped. 

5. Export and view the data

(1) Click “Export” to download your data.

(2) Choose the format to export according to your needs.

ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.

Click here to learn more about how to view the extraction results and clear the extracted data.

Click here to learn more about how to export the result of extraction.

Here is another tutorial for financial websites:

How to Scrape Company Data from Monster