INBIA
The International Business Innovation Association (INBIA) has a directory containing information on 415 incubators in the United States.
| INBIA | |
|---|---|
| Project Information | |
| Project Title | INBIA |
| Owner | Anne Freeman |
| Start Date | |
| Deadline | |
| Primary Billing | |
| Notes | |
| Has project status | Active |
| Subsumes: | Incubator Seed Data, Ecosystem Organization Classifier |
| Copyright © 2016 edegan.com. All Rights Reserved. | |
INBIA
We retrieved the INBIA data as follows:
- Go to http://exchange.inbia.org/network/findacompany/ and search US
- Change to 100 results per page
- Save HTML page of 0-100
- Choose next page, Save HTML page of 100-200
- Sort Z-A
- Save HTML page 418-318
- Choose next page, Save HTML page of 318-218
- Note that we are missing some that start with L and M
- Search US L, Choose page with L as first letter, Save HTML of L
- Search US M, Choose page with M as first letter, Save HTML of M
Then process each of those html files with regular expressions in textpad
- Search .*biobubblekey Replace #
- Search ^[^#].*\n Replace NOTHING
- Search .*href=\" Replace NOTHING
- Search <\/a> Replace NOTHING
- Search \"> Replace \t
Then combine files, throw out duplicates, move columns, sort. This results in a file without headers where the lines are like:
1863 Ventures/Project 500 /?c=companyprofile&UserKey=4794e0a6-3f61-4357-a1cb-513baf00957e 4th Sector Innovations /?c=companyprofile&UserKey=cc47b04e-1c2a-4019-88b3-05d1163a0d6a 712 Innovations /?c=companyprofile&UserKey=531ad600-e11a-4c74-9f37-bace816b9325 AccelerateHER /?c=companyprofile&UserKey=3c05d1c1-91b5-48ae-8ec3-c77765b10c2b ACTION Innovation Network /?c=companyprofile&UserKey=5ac08dd0-364d-47b2-8de0-a7536a3b4802
We can now build a crawler to call http://exchange.inbia.org/network/findacompany/ with then the URL extension (either encoded or with & replaced with just &), for example: http://exchange.inbia.org/network/findacompany/?c=companyprofile&UserKey=da2dbe35-9afa-4141-9b31-4e2cfd46a5aa Gets the company page for Cambridge Innovation Center.
We can then rip out the contact information, including URL, and the people, using either beautiful soup or regular expressions.
