requests-html
Pythonic HTML Parsing for Humans™ (by psf)
google-search-results-python
Google Search Results via SERP API pip Python Package (by serpapi)
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requests-html | google-search-results-python | |
---|---|---|
14 | 4 | |
13,574 | 517 | |
0.4% | 3.5% | |
0.0 | 4.5 | |
7 days ago | 3 months 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.
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
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How to batch scrape Wall Street Journal (WSJ)'s Financial Ratios Data?
Ya, thanks for advice. When using requests_html library, I am trying to lower down the speed using response.html.render(timeout=1000), but it raise Runtime error instead on Google Colab: https://github.com/psf/requests-html/issues/517.
- 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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Data scraping tools
For dynamic js, prefer requests-html with xpath selection.
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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.
- How to make all https traffic in program go through a specific proxy?
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Requests_html not working?
Quite possible. If you look at requests-html source code, it is simply one single python file that acts as a wrapper around a bunch of other packages, like requests, chromium, parse, lxml, etc., plus a couple convenience functions. So it could easily be some sort of bad dependency resolution.
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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.
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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Make Direct Async Requests to SerpApi with Python
In this blog post we'll cover on how to make direct requests to serpapi.com/search.json without using SerpApi's google-search-results Python client.
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Using Google Jobs Listing Results API from SerpApi
google-search-results is a SerpApi API package.
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Python Machine Learning
In previous weeks, we have implemented a way to automatically gather preprocessed and labelled data with SerpApi’s Google Images Scraper API, using Python library of SerpApi called Google Search Results in Python. We stored the scraped images in a local N1QL Couchbase Server in order to implement future asynchronous processes. N1QL is a good data model for bringing the power of SQL in JSON form. We store the images with their label names in the server and fetch them automatically whenever a machine learning training or testing process is in place. For now, label names represent the query made on SerpApi’s Google Images Scraper API, one query per each line. In the future we will add automatic gathering of missing queries in the datasets before the training.
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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.
What are some alternatives?
When comparing requests-html and google-search-results-python 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.
pyspider - A Powerful Spider(Web Crawler) System in Python.
requests - A simple, yet elegant HTTP library. [Moved to: https://github.com/psf/requests]
portia - Visual scraping for Scrapy
feedparser - Parse feeds in Python
RoboBrowser
reader - A Python feed reader library.
Grab - Web Scraping Framework
requests-html vs Scrapy
google-search-results-python vs Scrapy
requests-html vs MechanicalSoup
google-search-results-python vs pyspider
requests-html vs requests
google-search-results-python vs portia
requests-html vs feedparser
google-search-results-python vs MechanicalSoup
requests-html vs RoboBrowser
google-search-results-python vs reader
requests-html vs pyspider
google-search-results-python vs Grab