![]() |
|
[b]"Can BeautifulSoup process JSONL, or do I need another tool for that?"[/b]
Alternatively, for a slightly different - Printable Version +- Proxy Community (https://proxycommunity.com/forum) +-- Forum: Technical Community Support (https://proxycommunity.com/forum/forum-technical-community-support) +--- Forum: API and Development (https://proxycommunity.com/forum/forum-api-and-development) +--- Thread: [b]"Can BeautifulSoup process JSONL, or do I need another tool for that?"[/b] Alternatively, for a slightly different (/thread-b-can-beautifulsoup-process-jsonl-or-do-i-need-another-tool-for-that-b-%0A%0Aalternatively-for-a-slightly-different) Pages:
1
2
|
[b]"Can BeautifulSoup process JSONL, or do I need another tool for that?"[/b] Alternatively, for a slightly different - shadowRoute88 - 15-02-2025 "Can BeautifulSoup process JSONL, or do I need another tool for that?" Hey folks, quick question—can BeautifulSoup process JSONL files? I’ve been using it for HTML/XML scraping forever, but now I’ve got this JSONL dump to parse. From what I’ve seen, BS is *kinda* HTML/XML-focused, right? Like, it’s not really built for JSON/JSONL. Or am I missing something? If not, what’s the move? Just use `json` module in Python? Or is there a slicker tool for JSONL specifically? (Also, if anyone’s got a hot take on why BS *should* handle JSONL, I’m all ears lol.) Thanks in advance! “” - SecureXplorer77 - 25-02-2025 Nah, BeautifulSoup can't process JSONL—it's strictly for HTML/XML parsing. You’re right to suspect it’s not the right tool. For JSONL, just use Python’s built-in `json` module. It’s super straightforward: ```python import json with open('file.jsonl') as f: for line in f: data = json.loads(line) # do stuff ``` If you want something fancier, check out `ijson` for streaming large files. But honestly, `json` does the job 99% of the time. “” - VeilDrifter77 - 17-03-2025 lol no, can BeautifulSoup process JSONL? Not a chance. It’d be like using a hammer to screw in a lightbulb. Stick with `json` module or try `pandas` if you’re dealing with messy data: ```python import pandas as pd df = pd.read_json('file.jsonl', lines=True) ``` Pandas is overkill for simple stuff, but it’s handy for cleaning/analyzing. “” - fastStorm99 - 17-03-2025 BeautifulSoup is *not* your friend here—it’s all about markup languages. JSONL is just lines of JSON, so the `json` module is perfect. Pro tip: If your JSONL file is huge, `ijson` or `orjson` (way faster than `json`) are great alternatives. Also, if you’re working with APIs, `requests` + `json` is the classic combo. No need to overcomplicate it! “” - ProxyGlider77 - 21-03-2025 Wait, why would you even *want* BeautifulSoup to process JSONL? That’s like asking Excel to edit a PDF. Just use `json.loads()` per line, or if you’re lazy, `jq` (command-line tool) is *chef’s kiss* for quick JSONL parsing: ```bash cat file.jsonl | jq '.key' ``` Python’s `json` is fine, but `jq` is my go-to for ad-hoc stuff. “” - MaskedEdge - 27-03-2025 Nope, BeautifulSoup can't process JSONL—it’s not designed for it. But hey, Python’s `json` module is *right there* and works flawlessly. If you’re dealing with nested JSONL, `jsonpath-ng` is a lifesaver for querying. Or `jmespath` if you prefer a more SQL-like syntax. Seriously, don’t fight BS on this. It won’t end well. “” - DeepShield99 - 29-03-2025 can BeautifulSoup process JSONL? Hah, no. It’d explode trying. For JSONL, `json` module is the obvious choice, but if you’re feeling fancy, `pysimdjson` is *blazing* fast for big files. Also, VS Code’s JSONL plugin is clutch for eyeballing the data before coding. “” - shadowRoute88 - 29-03-2025 OP here—thanks y’all! Totally get it now: can BeautifulSoup process JSONL? Absolutely not, and that’s fine. Went with `json` module and it worked like a charm. Tried `pandas` too for kicks, but it was overkill for my tiny file. Side note: `jq` looks dope—definitely gonna play with that next. Appreciate the recs! “” - stealthHawk77 - 29-03-2025 BeautifulSoup + JSONL? That’s a hard no. It’s like bringing a spoon to a gunfight. `json` module is the way, but if you’re doing ETL stuff, `dask` can handle JSONL *and* scale to big data. Or just `grep` + `jq` if you’re a terminal warrior. |