Trouble scraping all the books from a section without hardcoding payload

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I've created a script to scrape the name of different books under Customers who bought this item also bought section from such pages. Once you click on the right arrow button, you can find all the related books. I've used two different book links within the script to see how the script behaves.

The payload that I used within post requests are hardcoded and meant for the first link of the product_links. The payload appears to be available in page source but I can't find the right way to use it automatically. There are several ids within payload which may not be identical when I use another book link, so hardcoing payload doesn't seem to be a good idea.

I've tried with:

import requests
from bs4 import BeautifulSoup

product_links = [
    'https://www.amazon.com/Essential-Keto-Diet-Beginners-2019/dp/1099697018/',
    'https://www.amazon.com/Keto-Cookbook-Beginners-Low-Carb-Homemade/dp/B08QFBMSFT/'
]

url = 'https://www.amazon.com/acp/p13n-desktop-carousel/funjjvdbohwkuezi/getCarouselItems'
payload = {"aCarouselOptions":"{\"ajax\":{\"id_list\":[\"{\\\"id\\\":\\\"B07NYZJX2L\\\"}\",\"{\\\"id\\\":\\\"1939754445\\\"}\",\"{\\\"id\\\":\\\"1792145454\\\"}\",\"{\\\"id\\\":\\\"1073560988\\\"}\",\"{\\\"id\\\":\\\"1119578922\\\"}\",\"{\\\"id\\\":\\\"B083K5RRSG\\\"}\",\"{\\\"id\\\":\\\"B07SPSXHZ8\\\"}\",\"{\\\"id\\\":\\\"B08GG2RL1D\\\"}\",\"{\\\"id\\\":\\\"1507212305\\\"}\",\"{\\\"id\\\":\\\"B08QFBMSFT\\\"}\",\"{\\\"id\\\":\\\"164152247X\\\"}\",\"{\\\"id\\\":\\\"1673455980\\\"}\",\"{\\\"id\\\":\\\"B084DD8WHP\\\"}\",\"{\\\"id\\\":\\\"1706342667\\\"}\",\"{\\\"id\\\":\\\"1628603135\\\"}\",\"{\\\"id\\\":\\\"B08NZV2Z4N\\\"}\",\"{\\\"id\\\":\\\"1942411294\\\"}\",\"{\\\"id\\\":\\\"1507209924\\\"}\",\"{\\\"id\\\":\\\"1641520434\\\"}\",\"{\\\"id\\\":\\\"B084Z7627Q\\\"}\",\"{\\\"id\\\":\\\"B08NRXFZ98\\\"}\",\"{\\\"id\\\":\\\"1623159326\\\"}\",\"{\\\"id\\\":\\\"B0827DHLR6\\\"}\",\"{\\\"id\\\":\\\"B08TL5W56Z\\\"}\",\"{\\\"id\\\":\\\"1941169171\\\"}\",\"{\\\"id\\\":\\\"1645670945\\\"}\",\"{\\\"id\\\":\\\"B08GLSSNKF\\\"}\",\"{\\\"id\\\":\\\"B08RR4RJHB\\\"}\",\"{\\\"id\\\":\\\"B07WRQ4CF4\\\"}\",\"{\\\"id\\\":\\\"B08Y49Z3V1\\\"}\",\"{\\\"id\\\":\\\"B08LNX32ZL\\\"}\",\"{\\\"id\\\":\\\"1250621097\\\"}\",\"{\\\"id\\\":\\\"1628600071\\\"}\",\"{\\\"id\\\":\\\"1646115511\\\"}\",\"{\\\"id\\\":\\\"1705799507\\\"}\",\"{\\\"id\\\":\\\"B08XZCM2P4\\\"}\",\"{\\\"id\\\":\\\"1072855267\\\"}\",\"{\\\"id\\\":\\\"B08VCMWPB9\\\"}\",\"{\\\"id\\\":\\\"1623159229\\\"}\",\"{\\\"id\\\":\\\"B08KH2J3FM\\\"}\",\"{\\\"id\\\":\\\"B08D54RBGP\\\"}\",\"{\\\"id\\\":\\\"1507212992\\\"}\",\"{\\\"id\\\":\\\"1635653894\\\"}\",\"{\\\"id\\\":\\\"B01MUB7BUV\\\"}\",\"{\\\"id\\\":\\\"0358120861\\\"}\",\"{\\\"id\\\":\\\"B08FV23D3F\\\"}\",\"{\\\"id\\\":\\\"B08FNMP9YY\\\"}\",\"{\\\"id\\\":\\\"1671590902\\\"}\",\"{\\\"id\\\":\\\"1641527692\\\"}\",\"{\\\"id\\\":\\\"1628603917\\\"}\",\"{\\\"id\\\":\\\"B07ZHPQBVZ\\\"}\",\"{\\\"id\\\":\\\"B08Y49Y63B\\\"}\",\"{\\\"id\\\":\\\"B08T2QRSN3\\\"}\",\"{\\\"id\\\":\\\"1729392164\\\"}\",\"{\\\"id\\\":\\\"B08T46R6XC\\\"}\",\"{\\\"id\\\":\\\"B08RRF5V1D\\\"}\",\"{\\\"id\\\":\\\"1592339727\\\"}\",\"{\\\"id\\\":\\\"1628602929\\\"}\",\"{\\\"id\\\":\\\"1984857088\\\"}\",\"{\\\"id\\\":\\\"0316529583\\\"}\",\"{\\\"id\\\":\\\"1641524820\\\"}\",\"{\\\"id\\\":\\\"1628602635\\\"}\",\"{\\\"id\\\":\\\"B00GRIR87M\\\"}\",\"{\\\"id\\\":\\\"B08FBHN5H7\\\"}\",\"{\\\"id\\\":\\\"B06ZYSS7HS\\\"}\"]},\"autoAdjustHeightFreescroll\":true,\"first_item_flush_left\":false,\"initThreshold\":100,\"loadingThresholdPixels\":100,\"name\":\"p13n-sc-shoveler_n1in5tlbg2h\",\"nextRequestSize\":6,\"set_size\":65}","faceoutspecs":"{}","faceoutkataname":"GeneralFaceout","individuals":"0","language":"en-US","linkparameters":"{\"pd_rd_w\":\"eouzj\",\"pf_rd_p\":\"45451e33-456f-46b5-8f06-aedad504c3d0\",\"pf_rd_r\":\"6Q3MPZHQQ2ESWZND1K8T\",\"pd_rd_r\":\"e5e43c03-d78d-41d3-9064-87af93f9856b\",\"pd_rd_wg\":\"PdhmI\"}","marketplaceid":"ATVPDKIKX0DER","name":"p13n-sc-shoveler_n1in5tlbg2h","offset":"6","reftagprefix":"pd_sim","aDisplayStrategy":"swap","aTransitionStrategy":"swap","aAjaxStrategy":"promise","ids":["{\"id\":\"B07SPSXHZ8\"}","{\"id\":\"B08GG2RL1D\"}","{\"id\":\"1507212305\"}","{\"id\":\"B08QFBMSFT\"}","{\"id\":\"164152247X\"}","{\"id\":\"1673455980\"}","{\"id\":\"B084DD8WHP\"}","{\"id\":\"1706342667\"}","{\"id\":\"1628603135\"}"],"indexes":[6,7,8,9,10,11,12,13,14]}

with requests.Session() as s:
    s.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.104 Safari/537.36'
    # for product_link in product_links:
    s.headers['x-amz-acp-params'] = "tok=0DV5j8DDJsH8JQfdVFxJFD3p6AZraMOZTik-kgzNi08;ts=1619674837835;rid=ER1GSMM13VTETPS90K43;d1=251;d2=0;tpm=CGHBD;ref=rtpb"
    res = s.post(url,json=payload)
    soup = BeautifulSoup(res.text,"lxml")
    for item in soup.select("li.a-carousel-card-fragment > a.a-link-normal > div[data-rows]"):
        print(item.text)

How can I scrape all the books from customers who bought section without hardcoding payload?

python-requests web-scraping python-3.x python
1 Answers

Everything that you need in order to get the carousel data is in the initial request when you query for the product URL.

You need to get full product HTML, scoop out the carousel data and reuse parts of it to construct a valid payload that can be used in the follow-up POST requests.

However, getting the product HTML is the hardest part, at least on my end, as Amazon will either block or throw a CAPTCHA, if you request the HTML too often.

Using a proxy or VPN helps. Swapping the product URL does help sometimes too.

Summing up, the key is to get the product HTML. The subsequent requests are easy to make and are not throttled, AFAIK.

Here's how to get the data for and from the carousel:

import json
import re

import requests
from bs4 import BeautifulSoup


# The chunk is how many carousel items are going to be requested for;
# this can vary from 4 - 10 items, as on the web-page.
# Also, the other list is used as the indexes key in the payload.
def get_idx_and_indexes(carousel_ids: list, chunk: int = 5) -> iter:
    for index in range(0, len(carousel_ids), chunk):
        tmp = carousel_ids[index:index + chunk]
        yield tmp, [carousel_ids.index(item) for item in tmp]


headers = {
    "user-agent": "Mozilla/5.0 (X11; Linux x86_64) "
                  "AppleWebKit/537.36 (KHTML, like Gecko) "
                  "Chrome/90.0.4430.93 Safari/537.36",
}

product_url = 'https://www.amazon.de/Rust-Programming-Language-Covers-2018/dp/1718500440/'
# Getting the product HTML as it carries all the carousel data items 
with requests.Session() as session:
    r = session.get("https://www.amazon.com", headers=headers)
    page = session.get(product_url, headers=headers)

# This is where the carousel data sits along with all the items needed to make
# the following requests e.g. items, acp-params, linkparameters, marketplaceid etc.
initial_soup = BeautifulSoup(
    re.search(r"<!--CardsClient-->(.*)<input", page.text).group(1),
    "lxml",
).find_all("div")

# Preparing all the details for subsequent requests to carousel_endpoint
item_ids = json.loads(initial_soup[3]["data-a-carousel-options"])["ajax"]["id_list"]
payload = {
    "aAjaxStrategy": "promise",
    "aCarouselOptions": initial_soup[3]["data-a-carousel-options"],
    "aDisplayStrategy": "swap",
    "aTransitionStrategy": "swap",
    "faceoutkataname": "GeneralFaceout",
    "faceoutspecs": "{}",
    "individuals": "0",
    "language": "en-US",
    "linkparameters": initial_soup[0]["data-acp-tracking"],
    "marketplaceid": initial_soup[3]["data-marketplaceid"],
    "name": "p13n-sc-shoveler_hgm4oj1hneo",  # this changes by can be ignored
    "offset": "6",
    "reftagprefix": "pd_sim",
}

headers.update(
    {
        "x-amz-acp-params": initial_soup[0]["data-acp-params"],
        "x-requested-with": "XMLHttpRequest",
    }
)

# looping through the carousel data and performing requests
carousel_endpoint = " https://www.amazon.com/acp/p13n-desktop-carousel/funjjvdbohwkuezi/getCarouselItems"
for ids, indexes in get_idx_and_indexes(item_ids):
    payload["ids"] = ids
    payload["indexes"] = indexes
    # The actual carousel data
    response = session.post(carousel_endpoint, json=payload, headers=headers)
    carousel = BeautifulSoup(response.text, "lxml").find_all("a")
    print("\n".join(a.getText() for a in carousel))

This should output:

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and so on ...
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