If I understands your question correctly, I think this will solve it:
with jsonlines.open('yourTextFile', mode='a') as writer:
writer.write(...)
As you mentioned you are overwriting the file, I think this is because you use mode='w' (w = writing) instead of using mode='a' (a = appending)
Readthedocs
jsonlines.readthedocs.io
jsonlines — jsonlines documentation
jsonlines is a Python library to simplify working with jsonlines and ndjson data.
PyPI
pypi.org › project › jsonlines
jsonlines · PyPI
Download URL: jsonlines-4.0.0-py3-none-any.whl · Upload date: Sep 1, 2023 · Size: 8.7 kB · Tags: Python 3 · Uploaded using Trusted Publishing? No · Uploaded via: twine/4.0.2 CPython/3.11.5 · See more details on using hashes here. Supported by ·
» pip install jsonlines
Videos
GitHub
github.com › wbolster › jsonlines
GitHub - wbolster/jsonlines: python library to simplify working with jsonlines and ndjson data
jsonlines is a Python library to simplify working with jsonlines and ndjson data.
Starred by 307 users
Forked by 31 users
Languages Python 100.0% | Python 100.0%
Top answer 1 of 2
8
import jsonlines
with jsonlines.open('example.jsonl', 'r') as jsonl_f:
lst = [obj for obj in jsonl_f]
The jsonl_f is the reader and can be used directly. It contains the lines in the json file.
2 of 2
0
Simply:
import jsonlines
with jsonlines.open("json_file.json") as file:
data = list(file.iter())
Medium
nicholaszhan.com › line-em-up-a-guide-to-json-lines-7c43215b3b82
Line ’Em Up: A Guide to JSON Lines | by Nicholas Zhan | Medium
February 2, 2024 - # Reading from a JSON Lines file with open('sensor_data.jsonl', 'r') as file: for line in file: data_entry = json.loads(line) # Process each data_entry as a Python dict print(data_entry)
Medium
galea.medium.com › how-to-love-jsonl-using-json-line-format-in-your-workflow-b6884f65175b
How to Love jsonl — using JSON Lines in your Workflow | by Alex Galea | Medium
April 9, 2024 - Here are python functions that can be used to write and read jsonl:
Rowzero
rowzero.com › blog › open-jsonl-file-format
Easily Open JSONL Files - Guide to JSON Lines Format - Row Zero – the spreadsheet for modern cloud data
October 24, 2024 - Here's example Python code: import json import jsonlines # Load the JSON file with open('data.json', 'r') as f: data = json.load(f) # Write to a JSONL file with jsonlines.open('data.jsonl', mode='w') as writer: for obj in data: writer.write(obj)
Arch Linux
archlinux.org › packages › extra › any › python-jsonlines
Arch Linux - python-jsonlines 4.0.0-5 (any)
View the file list for python-jsonlines · View the soname list for python-jsonlines · Copyright © 2002-2026 Judd Vinet, Aaron Griffin and Levente Polyák. The Arch Linux name and logo are recognized trademarks. Some rights reserved.
PyPI
pypi.org › project › json-lines
json-lines · PyPI
Reading JSON lines (jl) files, recover broken files
» pip install json-lines
Langchain
js.langchain.com › docs › integrations › document_loaders › file_loaders › jsonlines
Jsonlines files - integration - Docs by LangChain
This example goes over how to load data from JSONLines or JSONL files. The second argument is a JSONPointer to the property to extract from each JSON object in the file. One document will be created for each JSON object in the file.
Reddit
reddit.com › r/learnpython › faster way to process jsonl file with thousands of json lines
r/learnpython on Reddit: Faster way to process JSONL file with thousands of json lines
July 12, 2023 -
Hello, As the title, I have thousands to millions json lines spread over multiple JSONL format files.
What would be an efficient approach to process those lines and store in a temporary object that I want to index to some application?
Currently I'm thinking to process N lines per batch, index them and repeat until the last line in last file.
Arch Linux ARM
archlinuxarm.org › packages › aarch64 › python-jsonlines
python-jsonlines (aarch64) | Packages | Arch Linux ARM
Copyright ©2009-2026 Arch Linux ARM The registered trademark Linux® is used pursuant to a sublicense from LMI, the exclusive licensee of Linus Torvalds, owner of the mark on a world-wide basis. The Arch Linux™ name and logo are used under permission of the Arch Linux Project Lead
DEV Community
dev.to › scrapfly_dev › jsonl-vs-json-hb0
JSONL vs JSON - DEV Community
December 17, 2024 - Handling JSONLines files involves reading, writing, and appending data efficiently. Here’s how to do it in various programming languages: Python’s jsonlines library simplifies working with JSONL files.
Jsonlines
jsonlines.org › examples
JSON Lines |Examples
CSV seems so easy that many programmers have written code to generate it themselves, and almost every implementation is different. Handling broken CSV files is a common and frustrating task. CSV has no standard encoding, no standard column separator and multiple character escaping standards.
Debian
packages.debian.org › unstable › python › python3-jsonlines
Details of package python3-jsonlines in sid
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Anaconda.org
anaconda.org › conda-forge › jsonlines
jsonlines - conda-forge | Anaconda.org
Install jsonlines with Anaconda.org. Library with helpers for the jsonlines file format
Unpaywall
support.unpaywall.org › support › solutions › articles › 44001867300-how-do-i-read-jsonl-files-
How do I read JSONL files? : Unpaywall
February 25, 2020 - In python, you could either read the file line by line and use the standard json.loads function on each line, or use the jsonlines library to do this for you.