Python MongoDB - insert_many Query Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report In MongoDB, insert_many() method is used to insert multiple documents into a collection at once. When working with Python, this operation is performed using the PyMongo library. Instead of inserting documents one by one with insert_one(), insert_many() allows developers to pass a list of dictionaries, where each dictionary represents a document. This is a more efficient and cleaner approach when inserting bulk data into MongoDB.Syntax collection.insert_many(documents, ordered=True, bypass_document_validation=False, session=None, comment=None)Parameters: documents (Required): A list of documents (dictionaries) to insert..ordered (Optional, default=True): If True, stops inserting if one fails. If False, tries to insert all.bypass_document_validation (Optional, default=False): If True, skips any validation rules.session (Optional): Used for advanced tasks like transactions.comment (Optional): Adds a note to the operation (from PyMongo v4.1).Now, Let's explore some Examples:Example 1:In the below code, multiple student records are inserted with predefined _id values into a collection. Python from pymongo import MongoClient client = MongoClient("mongodb://localhost:27017/") db = client["GFG"] collection = db["Student"] # List of student documents to insert students = [ { "_id": 1, "name": "Vishwash", "roll_no": "1001", "branch": "CSE" }, { "_id": 2, "name": "Vishesh", "roll_no": "1002", "branch": "IT" }, { "_id": 3, "name": "Shivam", "roll_no": "1003", "branch": "ME" }, { "_id": 4, "name": "Yash", "roll_no": "1004", "branch": "ECE" } ] # Inserting the documents into the collection collection.insert_many(students) Output:Snapshot of Terminal showing Output of Insertion with _id providedExample 2: In this example _id is not provided, it is allocated automatically by MongoDB. Python from pymongo import MongoClient # Connect to MongoDB myclient = MongoClient("mongodb://localhost:27017/") # Access the database and collection db = myclient["GFG"] collection = db["Geeks"] # List of documents to be inserted mylist = [ {"Manufacturer": "Honda", "Model": "City", "Color": "Black"}, {"Manufacturer": "Tata", "Model": "Altroz", "Color": "Golden"}, {"Manufacturer": "Honda", "Model": "Civic", "Color": "Red"}, {"Manufacturer": "Hyundai", "Model": "i20", "Color": "White"}, {"Manufacturer": "Maruti", "Model": "Swift", "Color": "Blue"}, ] # _id is not specified; MongoDB will assign unique ObjectId to each document collection.insert_many(mylist) OutputSnapshot of Terminal showing ouput of Insertion without _idRelated Articles:Insert And Update in MongoDBinsert(), insert_one() and insert_many() Comment More infoAdvertise with us Next Article Difference Between insert(), insertOne(), and insertMany() in Pymongo V VishwashVishwakarma Follow Improve Article Tags : Python Python-mongoDB Practice Tags : python Similar Reads Python MongoDB Tutorial MongoDB is a popular NoSQL database designed to store and manage data flexibly and at scale. 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If collection is not found then it returns False otherwise it returns True if collection is dropped. Syntax: drop() Example 1: The sample database is as follows:  Python3 import pymongo client = pymongo.MongoClient("mongodb://local 1 min read How to update data in a Collection using Python?MongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. MongoDB offers high speed, high availability, and high scalability. Updating Data in MongoDB We can update data in a collection using update_one() method and update_many() method.  update 2 min read Get all the Documents of the Collection using PyMongoTo get all the Documents of the Collection use find() method. The find() method takes a query object as a parameter if we want to find all documents then pass none in the find() method. 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It stores the value of a specific field or set of fields whic 2 min read How to create index for MongoDB Collection using Python?Creating indexes in MongoDB improves query performance, especially on large datasets. PyMongo, the official MongoDB driver for Python, provides the create_index() method to define indexes on specific fields. By default, MongoDB indexes the _id field, but adding custom indexes is important for optimi 2 min read Get all the information of a Collection's indexes using PyMongoIn PyMongo, retrieving index information is useful for understanding how queries are optimized and what constraints are applied to a collection. The index_information() method provides metadata about all indexes in a collection, including index names, fields, sort order and options such as uniquenes 2 min read Python MongoDB - drop_index QueryThe drop_index() library function in PyMongo is used to drop the index from a collection in the database, as the name suggests. 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