gain
Web crawling framework based on asyncio. (by elliotgao2)
google-search-results-python
Google Search Results via SERP API pip Python Package (by serpapi)
gain | google-search-results-python | |
---|---|---|
- | 4 | |
2,031 | 520 | |
- | 3.1% | |
0.0 | 4.5 | |
almost 5 years ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
gain
Posts with mentions or reviews of gain.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning gain yet.
Tracking mentions began in Dec 2020.
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 gain and google-search-results-python you can also consider the following projects:
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.
pyspider - A Powerful Spider(Web Crawler) System in Python.
requests-html - Pythonic HTML Parsing for Humans™
cola - A high-level distributed crawling framework.
Grab - Web Scraping Framework
portia - Visual scraping for Scrapy
PSpider - 简单易用的Python爬虫框架,QQ交流群:597510560
MechanicalSoup - A Python library for automating interaction with websites.
reader - A Python feed reader library.
gain vs Scrapy
google-search-results-python vs Scrapy
gain vs pyspider
google-search-results-python vs requests-html
gain vs cola
google-search-results-python vs pyspider
gain vs Grab
google-search-results-python vs portia
gain vs PSpider
google-search-results-python vs MechanicalSoup
gain vs reader
google-search-results-python vs reader