How can I use executemany to insert into MySQL a list of dictionaries in Python

I’m currently using MySQL and Python to scrape data from the web. Specifically, I am scraping table data and inserting it into my database. My current solution works, but I feel it is extremely inefficient and will most likely lock up my database if I don’t rewrite the code. Here is what I currently use (partial code):

itemBank = []
for row in rows:
    itemBank.append((tempRow2,tempRow1,tempRow3,tempRow4)) #append data

#itemBank List of dictionaries representing data from each 
row of the table. i.e. 
('Item_Name':"Tomatoes",'Item_Price':"10",'Item_In_Stock':"10",'Item_Max':"30")

for item in itemBank:
    tempDict1 = item[0]
    tempDict2 = item[1]
    tempDict3 = item[2]
    tempDict4 = item[3]

    q = """ INSERT IGNORE INTO
         TABLE1   
        (
           Item_Name,
           Item_Price,
           Item_In_Stock,
           Item_Max,
           Observation_Date
         ) VALUES (
           "{0}",
           "{1}",
           "{2}",
           "{3}",
           "{4}"
           )
        """.format(tempDict1['Item_Name'],tempDict2['Item_Price'],tempDict3['Item_In_Stock'],
                   tempDict4['Item_Max'],getTimeExtra)

    try:
        x.execute(q)
        conn.commit()
    except:
        conn.rollback()

Executing each row of the table is cumbersome. I’ve tried using executemany, but I can’t seem to figure out how to access the values of the dictionaries correctly.
So, how can I use executemany here to insert into the database given the structure of my data?

Answers:

Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If you found the post helpful (or not), leave a comment & I’ll get back to you as soon as possible.

Method 1

itemBank = [] 
for row in rows:
    itemBank.append((
        tempRow2['Item_Name'],
        tempRow1['Item_Price'],
        tempRow3['Item_In_Stock'],
        tempRow4['Item_Max'], 
        getTimeExtra
        )) #append data


q = """ insert ignore into TABLE1 (
        Item_Name, Item_Price, Item_In_Stock, Item_Max, Observation_Date ) 
        values (%s,%s,%s,%s,%s)           
    """

try:
    x.executemany(q, itemBank)
    conn.commit()
except:
    conn.rollback()

Hope it will help you

Method 2

For anyone who needs to use “insert or update” instead of “insert ignore” below query can be used

q = """ INSERT INTO TABLE1 (Item_Name, Item_Price, Item_In_Stock, Item_Max, Observation_Date ) 
        values (%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE Item_Name = VALUES(Item_Name), 
        Item_Price = VALUES(Item_Price), Item_In_Stock = VALUES(Item_In_Stock), Item_Max = VALUES(Item_Max), 
        Observation_Date = VALUES(Observation_Date)       
    """

If Item_Name is the primary key of the TABLE1, then remove it from update part as below, since in update, primary key need not be updated

q = """ INSERT INTO TABLE1 (Item_Name, Item_Price, Item_In_Stock, Item_Max, Observation_Date ) 
        values (%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE Item_Price = VALUES(Item_Price), Item_In_Stock = VALUES(Item_In_Stock), Item_Max = VALUES(Item_Max), 
        Observation_Date = VALUES(Observation_Date)       
    """

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0