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Searchdata Python SDK

SearchData is an API that allows scraping various search engines such as Google, Bing, Yandex, etc. while using rotating proxies to prevent bans. This SDK for Python makes the usage of the API easier to implement in any project you have.

Installation

Run the following command in the main folder of your project:

pip install searchdata

API Key

To use the API and the SDK you will need an API Key. You can get one by registering at Searchdata

Classes

This SDK provides a class for each search engine from searchdata.io. Here is the list:

Class Usage
SearchdataGoogleSearch google searches
SearchdataBingSearch bing searches
SearchdataYandexSearch yandex searches
SearchdataGoogleAutocomplete google autocomplete searches
SearchdataGoogleEvents google events searches
SearchdataGoogleJobs google jobs searches
SearchdataGoogleJobsListing google jobs listing searches
SearchdataGoogleMaps google maps searches
SearchdataGoogleMapsReviews google maps reviews searches
SearchdataGoogleProduct google product searches
SearchdataGoogleReverseImage google reverse image searches
SearchdataGoogleScholar google scholar searches
SearchdataGoogleScholarAuthor google scholar author searches
SearchdataGoogleScholarCite google scholar cite searches
SearchdataGoogleScholarProfiles google scholar profiles searches
SearchdataLocations locations api

Usage

Using the SDK it's quite easy. An example of a GET call to the API is the following:

from searchdata import SearchdataLocations, SearchdataGoogleSearch

searchdataGoogleSearch = SearchdataGoogleSearch('YOUR_API_KEY')
locationsAPI = SearchdataLocations()

response = locationsAPI.execute("Austin", 1)
locations = response.json()
location = locationsAPI.process_location(locations[0])
searchdataGoogleSearch.set_q("Test")
searchdataGoogleSearch.set_location(location)
searchdataGoogleSearch.set_lr('lang_en|lang_ar')
response = searchdataGoogleSearch.execute()

# print(response.status_code)
# print(response.headers);
print(response.json());

Alternatively, you can use the function executeRaw, which will allow you to send the parameters in an associative array:

from searchdata import SearchdataLocations, SearchdataGoogleSearch

searchdataGoogleSearch = SearchdataGoogleSearch('YOUR_API_KEY')
locationsAPI = SearchdataLocations()

response = locationsAPI.execute("Austin", 1)
locations = response.json()
location = locationsAPI.process_location(locations[0])
response = searchdataGoogleSearch.executeRaw({
    'q': 'test',
    'device': 'mobile',
    'lr': 'lang_en|lang_ar',
    'location': location
})

# print(response.status_code)
# print(response.headers);
print(response.json());

For a better understanding of the parameters, please check out our documentation.

Release files for searchdata 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for searchdata 1.0.1
File Size Uploaded
searchdata-1.0.1.tar.gz 10.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for searchdata 1.0.1
File Interpreter ABI Platform
searchdata-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 29.0 kB

Release files / searchdata-1.0.1.tar.gz

Download URL searchdata-1.0.1.tar.gz
Size 10.2 kB
Tags Source
SHA-256 checksum
How to use checksums
edf6cb2b69b6dcf25219e6bb337a2c13890894766a4ca873eed7b133bdb127aa
BLAKE2b-256 checksum
How to use checksums
91f34284ce9ec51959d9f531d4ee3f46926317286016bebce8b1349adf237def
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

Release files / searchdata-1.0.1-py3-none-any.whl

Download URL searchdata-1.0.1-py3-none-any.whl
Size 18.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
209f49f50ec285eb918fa51c83df9069c6c9e9f06ce13c5be28c28f686eec380
BLAKE2b-256 checksum
How to use checksums
95dc39c22536ebd927875b3eb95079b9b3fb0bcef87192c09fbc931aa01fae1d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

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