Large XML Response-Python












0















I'm scraping a webpage that returns an XML response that I cannot for the life of me extract any data from. Here is my code that just returns the XML response:



import requests

url = 'https://www5.fdic.gov/cra/WebServices/DBService.asmx/callWS'

r = requests.post(url, data={"functionName":"SearchCRA","parmsJSON":"{"Appl_Number":"","Appl_Type":"","PSTALP":"","SUPRV_FDICDBS":"09","BANK_NAME":""}"})

print(r.content)


For example I would like to extract application numbers, institution names, and application type. I'm relatively new to Python and I just can't get my head around this one.



Thanks in advance.










share|improve this question

























  • have you looked into the xml libraries? That should help a lot

    – SuperStew
    Nov 20 '18 at 16:31











  • I cannot for the life of me extract any data from What have you tried?

    – John Gordon
    Nov 20 '18 at 16:34











  • I've tried using element tree and requests-xml and I haven't had much luck.

    – RRUDARY
    Nov 20 '18 at 17:19
















0















I'm scraping a webpage that returns an XML response that I cannot for the life of me extract any data from. Here is my code that just returns the XML response:



import requests

url = 'https://www5.fdic.gov/cra/WebServices/DBService.asmx/callWS'

r = requests.post(url, data={"functionName":"SearchCRA","parmsJSON":"{"Appl_Number":"","Appl_Type":"","PSTALP":"","SUPRV_FDICDBS":"09","BANK_NAME":""}"})

print(r.content)


For example I would like to extract application numbers, institution names, and application type. I'm relatively new to Python and I just can't get my head around this one.



Thanks in advance.










share|improve this question

























  • have you looked into the xml libraries? That should help a lot

    – SuperStew
    Nov 20 '18 at 16:31











  • I cannot for the life of me extract any data from What have you tried?

    – John Gordon
    Nov 20 '18 at 16:34











  • I've tried using element tree and requests-xml and I haven't had much luck.

    – RRUDARY
    Nov 20 '18 at 17:19














0












0








0








I'm scraping a webpage that returns an XML response that I cannot for the life of me extract any data from. Here is my code that just returns the XML response:



import requests

url = 'https://www5.fdic.gov/cra/WebServices/DBService.asmx/callWS'

r = requests.post(url, data={"functionName":"SearchCRA","parmsJSON":"{"Appl_Number":"","Appl_Type":"","PSTALP":"","SUPRV_FDICDBS":"09","BANK_NAME":""}"})

print(r.content)


For example I would like to extract application numbers, institution names, and application type. I'm relatively new to Python and I just can't get my head around this one.



Thanks in advance.










share|improve this question
















I'm scraping a webpage that returns an XML response that I cannot for the life of me extract any data from. Here is my code that just returns the XML response:



import requests

url = 'https://www5.fdic.gov/cra/WebServices/DBService.asmx/callWS'

r = requests.post(url, data={"functionName":"SearchCRA","parmsJSON":"{"Appl_Number":"","Appl_Type":"","PSTALP":"","SUPRV_FDICDBS":"09","BANK_NAME":""}"})

print(r.content)


For example I would like to extract application numbers, institution names, and application type. I'm relatively new to Python and I just can't get my head around this one.



Thanks in advance.







python xml web-scraping






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 '18 at 16:42









SuperStew

1,6641717




1,6641717










asked Nov 20 '18 at 16:29









RRUDARYRRUDARY

267




267













  • have you looked into the xml libraries? That should help a lot

    – SuperStew
    Nov 20 '18 at 16:31











  • I cannot for the life of me extract any data from What have you tried?

    – John Gordon
    Nov 20 '18 at 16:34











  • I've tried using element tree and requests-xml and I haven't had much luck.

    – RRUDARY
    Nov 20 '18 at 17:19



















  • have you looked into the xml libraries? That should help a lot

    – SuperStew
    Nov 20 '18 at 16:31











  • I cannot for the life of me extract any data from What have you tried?

    – John Gordon
    Nov 20 '18 at 16:34











  • I've tried using element tree and requests-xml and I haven't had much luck.

    – RRUDARY
    Nov 20 '18 at 17:19

















have you looked into the xml libraries? That should help a lot

– SuperStew
Nov 20 '18 at 16:31





have you looked into the xml libraries? That should help a lot

– SuperStew
Nov 20 '18 at 16:31













I cannot for the life of me extract any data from What have you tried?

– John Gordon
Nov 20 '18 at 16:34





I cannot for the life of me extract any data from What have you tried?

– John Gordon
Nov 20 '18 at 16:34













I've tried using element tree and requests-xml and I haven't had much luck.

– RRUDARY
Nov 20 '18 at 17:19





I've tried using element tree and requests-xml and I haven't had much luck.

– RRUDARY
Nov 20 '18 at 17:19












1 Answer
1






active

oldest

votes


















0














The XML response actually has a very simple structure, with just a single root element <string>. The text of that element contains JSON, so actually parsing the content is trivial.



Assuming you have the response in r, then:



import json
from xml.etree import ElementTree as ET

root = ET.fromstring(r.content)
data = json.loads(root.text)

for result in data['Result']:
print(result['Appl_Number'])
print(result['Instname'])
print(result['Appl_Type'])
print('--')





share|improve this answer
























  • You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

    – RRUDARY
    Nov 21 '18 at 13:57











  • The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

    – Will Keeling
    Nov 21 '18 at 14:03













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1 Answer
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oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














The XML response actually has a very simple structure, with just a single root element <string>. The text of that element contains JSON, so actually parsing the content is trivial.



Assuming you have the response in r, then:



import json
from xml.etree import ElementTree as ET

root = ET.fromstring(r.content)
data = json.loads(root.text)

for result in data['Result']:
print(result['Appl_Number'])
print(result['Instname'])
print(result['Appl_Type'])
print('--')





share|improve this answer
























  • You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

    – RRUDARY
    Nov 21 '18 at 13:57











  • The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

    – Will Keeling
    Nov 21 '18 at 14:03


















0














The XML response actually has a very simple structure, with just a single root element <string>. The text of that element contains JSON, so actually parsing the content is trivial.



Assuming you have the response in r, then:



import json
from xml.etree import ElementTree as ET

root = ET.fromstring(r.content)
data = json.loads(root.text)

for result in data['Result']:
print(result['Appl_Number'])
print(result['Instname'])
print(result['Appl_Type'])
print('--')





share|improve this answer
























  • You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

    – RRUDARY
    Nov 21 '18 at 13:57











  • The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

    – Will Keeling
    Nov 21 '18 at 14:03
















0












0








0







The XML response actually has a very simple structure, with just a single root element <string>. The text of that element contains JSON, so actually parsing the content is trivial.



Assuming you have the response in r, then:



import json
from xml.etree import ElementTree as ET

root = ET.fromstring(r.content)
data = json.loads(root.text)

for result in data['Result']:
print(result['Appl_Number'])
print(result['Instname'])
print(result['Appl_Type'])
print('--')





share|improve this answer













The XML response actually has a very simple structure, with just a single root element <string>. The text of that element contains JSON, so actually parsing the content is trivial.



Assuming you have the response in r, then:



import json
from xml.etree import ElementTree as ET

root = ET.fromstring(r.content)
data = json.loads(root.text)

for result in data['Result']:
print(result['Appl_Number'])
print(result['Instname'])
print(result['Appl_Type'])
print('--')






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 21 '18 at 12:37









Will KeelingWill Keeling

12.2k22635




12.2k22635













  • You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

    – RRUDARY
    Nov 21 '18 at 13:57











  • The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

    – Will Keeling
    Nov 21 '18 at 14:03





















  • You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

    – RRUDARY
    Nov 21 '18 at 13:57











  • The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

    – Will Keeling
    Nov 21 '18 at 14:03



















You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

– RRUDARY
Nov 21 '18 at 13:57





You are amazing, thank you so much. Would you mind explaining why the 'root' element is necessary? I'm not that familiar with any of this and I would love to learn more about it. Thanks again!

– RRUDARY
Nov 21 '18 at 13:57













The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

– Will Keeling
Nov 21 '18 at 14:03







The content of the response is just XML text. So we use ET.fromstring() to parse that text and turn it into an in-memory XML representation. ET.fromstring() hands back the top level element (root element) of that in-memory XML representation (an Element instance representing the <string> element). Once we have that, we can easily access that element's own nested text - which turns out is in JSON format. Since parsing JSON is trivial with Python's json library, it's downhill from then on.

– Will Keeling
Nov 21 '18 at 14:03






















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