Question: 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?

Answer: 
```
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
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)       
    """  

```