CrisisFACTS Direct Download

crisisfacts.downloader.py

import json
import requests
import pandas as pd

### Necessary Credentials
credentials = {
    "institution": "University of Maryland, College Park", # University, Company or Public Agency Name
    "contactname": "Cody Buntain", # Your Name
    "email": "[email protected]", # A contact email address
    "institutiontype": "Research" # Either 'Research', 'Industry', or 'Public Sector'
}

### What event and date do you want?
data = {
    'eventID': "007",
    'requestDate': "2020-08-27",
}

# Code below populates all_content with this event+day pair
all_content = []
url_base = "http://demos.terrier.org/crisisfacts/"

## Register with the Terrier server
data.update(credentials)
resp = requests.post(url_base + "register", json=data)
resp_dict = resp.json()

## Using the access key, consume data from the stream
### Continue until we have
run_count = 0
while resp.status_code == 200:

    print("Run:", run_count)
    
    # Stream data down
    ## Note that we need a high timeout here (>30 seconds seems to work for me)
    resp = requests.get(url_base + "stream", params={"accessKey": resp_dict["accessKey"]}, timeout=60)

    # Go from bytes to a string, since we're expecting JSON data
    data = resp.content.decode("utf8")
    
    # If no data, we've finished
    if len(data) == 0:
        print("Datastream exhausted")
        break
        
    # Convert from string to JSON
    parsed_content = json.loads(data)

    # And extend the all_content array with this new data
    all_content.extend(parsed_content)
    
    run_count += 1
    
# Convert documents to Pandas DataFrame
df = pd.DataFrame(all_content)

df["sourceType"].value_counts()