google-search-results-python
Google Search Results via SERP API pip Python Package (by serpapi)
requests-html
Pythonic HTML Parsing for Humans™ (by psf)
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google-search-results-python | requests-html | |
---|---|---|
4 | 14 | |
504 | 13,553 | |
4.2% | 0.5% | |
4.5 | 0.0 | |
about 2 months ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
google-search-results-python
Posts with mentions or reviews of google-search-results-python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-20.
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How to Train a Scalable Classifier with FastAPI and SerpApi ?
from multiprocessing.dummy import Array : It's an automatically added library for multiprocessing purposes from serpapi import GoogleSearch : It's SerpApi's library for using various engines SerpApi supports. You may find more information on its Github Repo. Simply install it via pip install google-search-results command. from pydantic import BaseModel : Pydantic allows us to create object models with ease. import mimetypes : Mimetypes is useful for guessing the extension of the downloaded element before you write it into an image. It allows us to guess .jpg, .png etc. extensions of files. import requests : Python's HTTP requests library with the coolest logo ever made for a library. import json : For reading and writing JSON files. It will be useful for storing old links of images we have already downloaded. import os : For writing images in local storage of the server, or creating folders for different queries.
requests-html
Posts with mentions or reviews of requests-html.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-13.
- will requests-html library work as selenium
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
requests-html
- Note, the first time you ever run the render() method, it will download Chromium into your home directory (e.g. ~/.pyppeteer/). This only happens once.
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Which string to lower case method to you use?
Example: requests-html which has a rather exhaustive README.md, but their dedicated page is not that helpful, if I remember correctly, and currently the domain is suspended.
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Top python libraries/ frameworks that you suggest every one
When it comes to web scraping, the usual people recommend is beautifulsoup, lxml, or selenium. But I highly recommend people check out requests-html also. Its a library that is a happy medium between ease of use as in beautifulsoup and also good enough to be used for dynamic, javascript data where it would be overkill to use a browser emulator like selenium.
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Web Scraping in a professional setting: Selenium vs. BeautifulSoup
What I do is try to see if I can use requests_html first before trying selenium. requests_html is usually enough if I dont need to interact with browser widgets or if the authentication isnt too difficult to reverse engineer.
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The best Python libraries
I'm not sure what is left to do, it is essentially a lightweight wrapper that consolidates a bunch of other libraries (like parse, requests, chromium, etc). The whole package is basically one file requests_html.py.
What are some alternatives?
When comparing google-search-results-python and requests-html you can also consider the following projects:
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.
MechanicalSoup - A Python library for automating interaction with websites.
requests - A simple, yet elegant HTTP library. [Moved to: https://github.com/psf/requests]
feedparser - Parse feeds in Python
RoboBrowser
pyspider - A Powerful Spider(Web Crawler) System in Python.
httpx - A next generation HTTP client for Python. 🦋
Grab - Web Scraping Framework
pyppeteer - Headless chrome/chromium automation library (unofficial port of puppeteer)
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies