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ScraperAPI Python SDK

Project description

ScraperAPI Python SDK

Install

pip install scraperapi-sdk

Usage

from scraperapi_sdk import ScraperAPIClient

client = ScraperAPIClient("<API-KEY>")

# regular get request
content = client.get('https://amazon.com/')
# get request with premium
content = client.get('https://amazon.com/', params={'premium': True})

# post request
content = client.post('https://webhook.site/403e44ce-5835-4ce9-a648-188a51d9395d', headers={'Content-Type': 'application/x-www-form-urlencoded'}, data={'field1': 'data1'})

# put request
content = client.put('https://webhook.site/403e44ce-5835-4ce9-a648-188a51d9395d', headers={'Content-Type': 'application/json'}, data={'field1': 'data1'})

The content variable will contain the scraped page.

If you want to get the Response object instead of the content you can use make_request.

response = client.make_request(url='https://webhook.site/403e44ce-5835-4ce9-a648-188a51d9395d', headers={'Content-Type': 'application/json'}, data={'field1': 'data1'})
# response will be <Response [200]>

Exception

from scraperapi_sdk import ScraperAPIClient
from scraperapi_sdk.exceptions import ScraperAPIException

client = ScraperAPIClient(
    api_key=api_key,
)
try:
    result = client.post('https://webhook.site/403e44ce-5835-4ce9-a648-188a51d9395d', headers={'Content-Type': 'application/x-www-form-urlencoded'}, data={'field1': 'data1'})
    _ = result
except ScraperAPIException as e:
    print(e.original_exception)  # you can access the original exception via `.original_exception` property.

Structured Data Collection Methods

Amazon Endpoints

Amazon Product Page API

This method will retrieve product data from an Amazon product page and transform it into usable JSON.

result = client.amazon.product("<ASIN>")
result = client.amazon.product("<ASIN>", country="us", tld="com")

Read more in docs: Amazon Product Page API

Amazon Search API

This method will retrieve products for a specified search term from Amazon search page and transform it into usable JSON.

result = client.amazon.search("<QUERY>")
result = client.amazon.search("<QUERY>", country="us", tld="com")

Read more in docs: Amazon Search API

Amazon Offers API

This method will retrieve offers for a specified product from an Amazon offers page and transform it into usable JSON.

result = client.amazon.offers("<ASIN>")
result = client.amazon.offers("<ASIN>", country="us", tld="com")

Read more in docs: Amazon Offers API

Amazon Reviews API

This method will retrieve reviews for a specified product from an Amazon reviews page and transform it into usable JSON.

result = client.amazon.review("<ASIN>")
result = client.amazon.offers("<ASIN>", country="us", tld="com")

Read more in docs: Amazon Reviews API

Amazon Prices API

This method will retrieve product prices for the given ASINs and transform it into usable JSON.

result = client.amazon.prices(['<ASIN1>'])
result = client.amazon.prices(['<ASIN1>', '<ASIN2>'])
result = client.amazon.prices(['<ASIN1>', '<ASIN2>'], country="us", tld="com")

Read more in docs: Amazon Prices API

Google API

Google SERP API

This method will retrieve product data from an Google search result page and transform it into usable JSON.

result = client.google.search('free hosting')
result = client.google.search('free hosting', country="us", tld="com")

Read more in docs: Google SERP API

Google News API

This method will retrieve news data from an Google news result page and transform it into usable JSON.

result = client.google.news('tornado')
result = client.google.news('tornado', country="us", tld="com")

Read more in docs: Google News API

Google Jobs API

This method will retrieve jobs data from an Google jobs result page and transform it into usable JSON.

result = client.google.jobs('Senior Software Developer')
result = client.google.jobs('Senior Software Developer', country="us", tld="com")

Read more in docs: Google Jobs API

Google Shopping API

This method will retrieve shopping data from an Google shopping result page and transform it into usable JSON.

result = client.google.shopping('macbook air')
result = client.google.shopping('macbook air', country="us", tld="com")

Read more in docs: Google Shopping API

Walmart API

Walmart Search API

This method will retrieve product list data from Walmart as a result of a search.

result = client.walmart.search('hoodie')
result = client.walmart.search('hoodie', page=2)

Read more in docs: Walmart Search API

Walmart Category API

This method will retrieve Walmart product list for a specified product category.

result = client.walmart.category('5438_7712430_8775031_5315201_3279226')
result = client.walmart.category('5438_7712430_8775031_5315201_3279226', page=2)

Read more in docs: Walmart Category API

Walmart Product API

This method will retrieve Walmart product details for one product.

result = client.walmart.product('5053452213')

Read more in docs: Walmart Product API

Async Scraping

Basic scraping:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient(api_key)
request_id = None
# request async scraping
try:
    job = client.create('https://example.com')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)

# if job was submitted successfully we can request the result of scraping 

if request_id:
    result = client.get(request_id)

Read more in docs: How to use Async Scraping

Webhook Callback

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient(api_key)
request_id = None
# request async scraping
try:
    job = client.create('https://example.com', webhook_url="https://webhook.site/#!/view/c4facc6e-c028-4d9c-9f58-b14c92a381fe")
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)

# if job was submitted successfully we can request the result of scraping 

if request_id:
    result = client.get(request_id)

Wait for results

You can use wait method which will poll ScraperAPI for result until its ready.

Use client.wait

Arguments: request_id (required): ID returned from client.create call cooldown (optional, default=5): number of seconds between retries max_retries (optional, default=10): Maximum number of retries raise_for_exceeding_max_retries (optional, default=False): If True will raise exception when reached max_retries, else returns the response from the API.

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient(api_key)
request_id = None
# request async scraping
try:
    job = client.create('https://example.com')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)

# if job was submitted successfully we can request the result of scraping 

if request_id:
    result = client.wait(
        request_id,
        cooldown=5,
        max_retries=10,
        raise_for_exceeding_max_retries=False,
    )

Amazon Async Scraping

Amazon Product

Scrape a single Amazon Product asynchronously:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.product('B0CHVR5K7C')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Single Product with params:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.product('B0B5PLT7FZ', api_params=dict(country_code='uk', tld='co.uk'))
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Scrape multiple Amazon Products asynchronously with params:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.products(['B0B5PLT7FZ', 'B00CL6353A'], api_params=dict(country_code='uk', tld='co.uk'))
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Read more in docs: Async Amazon Product Scraping

Amazon Search

Search Amazon asynchronously

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.search('usb c microphone')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Search Amazon asynchronously with api_params

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.search('usb c microphone', api_params=dict(country_code='uk', tld='co.uk')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Read more in docs: Amazon Review Scraping Async

Amazon Offers for a Product

Scrape Amazon offers for a single product

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.offers('B0CHVR5K7C')
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Scrape Amazon offers for multiple products

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    jobs = client.amazon.offers('B0CHVR5K7C')
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Amazon Reviews

Scrape Reviews for a single product asynchronously:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
request_id = None
try:
    job = client.amazon.product('B0B5PLT7FZ'], api_params=dict(country_code='uk', tld='co.uk'))
    request_id = job.get('id')
except ScraperAPIException as e:
    print(e.original_exception)
result = client.get(request_id)

Scrape reviews for multiple products asynchronously:

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
try:
    jobs = client.amazon.products(['B0B5PLT7FZ', 'B00CL6353A'], api_params=dict(country_code='uk', tld='co.uk'))
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Read more in docs: Amazon Review Scraping Async

Google Async Scraping

Google Async Search Scraping

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
try:
    jobs = client.google.search('solar eclipse')
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Read more in docs: Google Search API (Async)

Google Async News Scraping

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
try:
    jobs = client.google.news('solar eclipse')
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Read more in docs: Google News API (Async)

Google Async Jobs Scraping

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
try:
    jobs = client.google.jobs('senior software developer')
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Read more in docs: Google Jobs API (Async)

Google Async Shopping Scraping

from scraperapi_sdk import ScraperAPIAsyncClient, ScraperAPIException

client = ScraperAPIAsyncClient('<api_key>')
try:
    jobs = client.google.shopping('usb c microphone')
except ScraperAPIException as e:
    print(e.original_exception)
for job in jobs:
    result = client.get(job.get('id'))

Read more in docs: Google Shopping API (Async)

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