Issue
I have a Scrapy spider which consists of chain requests and I'd like to download images and add the image path to the items. What I am trying to say items are nested like for example item['image_urls'] and item['similarIdeas']['image_urls'] and I want to download image item['image_urls'] and item['similarIdeas']['image_urls'] also add the image path to item as well i.e item['path'] and item['similarIdeas']['path']. Here is my spider:
import scrapy
import json
class HouzzSimilar(scrapy.Spider):
name = "houzz_crawler"
custom_settings = {
"LOG_FILE": "houzz_spider.log",
"IMAGES_STORE": "houzz_images",
"FEEDS": {
"houzz.json": {
"format": "json",
}
},
"ITEM_PIPELINES": {
"houzz_crawler.pipelines.HouzzImagePipeline": 1,
},
}
headers = {
"authority": "www.houzz.com",
"accept": "*/*",
"accept-language": "en,ru;q=0.9",
"content-type": "application/x-www-form-urlencoded; charset=UTF-8",
"origin": "https://www.houzz.com",
"referer": "https://www.houzz.com/photos/columbus-ave-residence-contemporary-bathroom-new-york-phvw-vp~160668148",
"rrid": "70402547-c900-47f7-a913-8e1cbc9aa0c3",
"sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "YaBrowser";v="23"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 YaBrowser/23.3.1.906 (beta) Yowser/2.5 Safari/537.36",
"x-csrf-token": "i8B5ykgX-eprPj5yAHSxOng08Pa4qAr2Z0TQ",
"x-hz-request": "true",
"x-ol-exp-id": "clhhdi4wu00003y71rnvty395",
"x-ol-exp-name": "Photo - View",
"x-ol-ext-device-id": "23a3cfb8-7a04-4462-af71-d98689271533",
"x-ol-ext-session-id": "782c0a90-8925-409f-90c1-f47798e0426e",
"x-ol-product": "Houzz",
"x-ol-product-variant": "Houzz US",
"x-ol-session-id": "782c0a90-8925-409f-90c1-f47798e0426e",
"x-requested-with": "XMLHttpRequest",
}
cookies = {
"v": "1683311076_f9d9a715-f45b-42dc-bc6d-7da75774a57f_9bda9dd500ca1e5119bbecaba51e53f0",
"vct": "en-US-vxnkSVVkSBzkSVVkCR%2FkSVVk8B%2FkSVVk4R3kSVVk4h3kSVVk",
"_gcl_au": "1.1.17413922.1683311086",
"crossdevicetracking": "915374c0-439c-46a1-bbf2-3a2aaa487e69",
"_pin_unauth": "dWlkPU16Y3dNbVF6T0dNdE1tWTBOaTAwWTJSa0xUazVZakV0TXprek5XWm1ZV014WWprMw",
"_sp_id.c905": "5af74097-a6bb-46e7-8d14-35ff6d738f39.1683317411.2.1683359810.1683317411.13ad94c9-5560-4fbf-963f-b63e32f2124d",
"g_state": '{"i_p":1684144918349,"i_l":3}',
"browseResultSetGridWidth": "554",
"_gid": "GA1.2.1176067560.1683652076",
"ln_or": "eyIzODE1NzE2IjoiZCJ9",
"_csrf": "G_nV-Kaa7rlqgTwnueAXkJtj",
"jdv": "t7WOzUb2vHLZtWVVHSk%2BXJEWN7ua9zR%2FUkXpY9RYDUW00hxMyur5c%2Bzn6M%2BqQADtWOInJpmlQA37Gxp0L267jdj74Iwe",
"documentWidth": "1318",
"_uetsid": "0bf41840ee8c11edac06995ca98afa3c",
"_uetvid": "1e07d960eb7211ed880b7db3cdc86191",
"_derived_epik": "dj0yJnU9NFBDc3RuOExta3NiM2xfaV9WS0RYbVVLRS1lRVpycDEmbj1tVE1RRUtOUjYwYU1Kalp0el9mNTBBJm09OCZ0PUFBQUFBR1JiUmprJnJtPTgmcnQ9QUFBQUFHUmJSamsmc3A9NQ",
"IR_gbd": "houzz.com",
"IR_5454": "1683703358356%7C0%7C1683703358356%7C%7C",
"_ga": "GA1.2.1658927820.1683311086",
"_dc_gtm_UA-3519678-1": "1",
"_ga_PB0RC2CT7B": "GS1.1.1683703353.11.1.1683704001.59.0.0",
"hzd": "70402547-c900-47f7-a913-8e1cbc9aa0c3%3A%3A%3A%3A%3ASeeMoreIdeas",
}
base_url = "https://www.houzz.com/photos/home-design-ideas-phbr0-bp~"
similar_ideas_api_url = "https://www.houzz.com/j/getSimilarSpaces"
def start_requests(self):
yield scrapy.Request(
url=self.base_url, headers=self.headers, callback=self.parse_ideas
)
def parse_ideas(self, response):
ideas = response.css("a.hz-photo-card__ratio-box::attr(href)").extract()
total_photos = int(
response.css("span.hz-top-pagination__text ::text")
.extract()[4]
.replace(",", "")
)
photos_per_page = int(
response.css("span.hz-top-pagination__text ::text").extract()[2]
)
for idea in ideas:
yield scrapy.Request(
url=idea, headers=self.headers, callback=self.parse_project_url
)
def parse_project_url(self, response):
data = response.css('script[id="hz-ctx"] ::text').get()
json_data = json.loads(data)
space_id = json_data["data"]["pageContentData"]["spaceId"]
space = json_data["data"]["stores"]["data"]["SpaceStore"]["data"][space_id]
project_id = space["projectId"]
space_url = space["url"]
raw_project_url = (
space_url.split("~")[0].replace("phvw", "pj").replace("vp", "vj")
)
project_url = raw_project_url + "~" + str(project_id)
yield scrapy.Request(
url=project_url, headers=self.headers, callback=self.parse_project_idea
)
def parse_project_idea(self, response):
idea_board = response.css(
"div.hz-prj-container.hz-prj-container__photos.clearfix ::attr(href)"
).extract()
for idea_link in idea_board:
yield scrapy.Request(
url=idea_link,
headers=self.headers,
callback=self.parse_idea_details,
)
def parse_idea_details(self, response):
item = {}
item["ideadId"] = response.url.split("~")[-1]
item["ideaUrl"] = response.url
item["Title"] = response.css(
"h1.hz-view-photo__space-info__title.text-bold::text"
).get()
subtitle = response.css(
"h1.hz-view-photo__space-info__subtitle.text-m::text"
).get()
item["subTitle"] = subtitle
item["spaceDescription"] = response.css(
"div.hz-view-photo__space-info__description.text-m ::text"
).get()
item["uploadedBy"] = response.css("div.vph-owner-info__details ::text").get()
item["Tags"] = [
{"tag": t}
for t in response.css(
"ul.hz-view-photo__breadcrumb.hz-track-me ::text"
).extract()
]
item["starRating"] = len(
response.css(
"span.icon-font.icon-star.hz-star-rate.hz-star-rate--highlighted.star-icon"
)
)
item["numberOfReviews"] = response.css(
"span.hz-star-rate__review-string::text"
).get()
item["image_urls"] = response.css(
"div.view-photo-image-pane > img::attr(src)"
).extract()
item["path"] = ""
item["similarIdeas"] = []
spaceId = response.url.split("~")[-1]
body = f"spaceId={spaceId}&fromItem=0&itemsPerPage=10&contentDescriptor=%7B%22t%22%3A1%2C%22et%22%3A3%2C%22id%22%3A160668148%7D"
yield scrapy.Request(
url=self.similar_ideas_api_url,
method="POST",
cookies=self.cookies,
headers=self.headers,
body=body,
cb_kwargs={"item": item}, # <-- cb_kwargs
callback=self.get_similar_ideas_urls,
)
def get_similar_ideas_urls(self, response, item=None):
data = response.json()["spaceData"]["spaces"]
space_keys = list(data.keys())
space_urls = set([data[key]["url"] for key in space_keys]) # <- set
yield scrapy.Request(
url=space_urls.pop(),
headers=self.headers,
cb_kwargs={"item": item, "space_urls": space_urls},
callback=self.parse_similar_ideas,
)
def parse_similar_ideas(self, response, item=None, space_urls=None):
item["similarIdeas"].append(
{
"ideaId": response.url.split("~")[-1],
"ideaUrl": response.url,
"Title": response.css(
"h1.hz-view-photo__space-info__title.text-bold::text"
).get(),
"subTitle": response.css(
"h1.hz-view-photo__space-info__subtitle.text-m::text"
).get(),
"spaceDescription": response.css(
"div.hz-view-photo__space-info__description.text-m ::text"
).get(),
"uploadedBy": response.css("div.vph-owner-info__details ::text").get(),
"Tags": [
{"tag": t}
for t in response.css(
"ul.hz-view-photo__breadcrumb.hz-track-me ::text"
).extract()
],
"starRating": len(
response.css(
"span.icon-font.icon-star.hz-star-rate.hz-star-rate--highlighted.star-icon"
)
),
"numberOfReviews": response.css(
"span.hz-star-rate__review-string::text"
).get(),
"image_urls": response.css(
"div.view-photo-image-pane > img::attr(src)"
).extract(),
"path": "",
}
)
if len(space_urls) > 0:
yield scrapy.Request(
url=space_urls.pop(),
headers=self.headers,
cb_kwargs={"item": item, "space_urls": space_urls},
dont_filter=True, # <--- add this
callback=self.parse_similar_ideas,
)
else: # <--- this was the piece you were missing
yield item
And here is my custom Image pipeline:
from itemadapter import ItemAdapter
import scrapy
from scrapy.exceptions import DropItem
from scrapy.pipelines.images import ImagesPipeline
import hashlib
class HouzzCrawlerPipeline:
def process_item(self, item, spider):
return item
class HouzzImagePipeline(ImagesPipeline): # Inherit the ImagePipeline class
def get_media_requests(self, item, info):
for image_url in item["image_urls"]:
yield scrapy.Request(image_url)
for image_url in item["similarIdeas"]:
yield scrapy.Request(image_url["image_urls"][0])
def file_path(self, request, response=None, info=None, *, item=None):
image_url_hash = hashlib.md5(request.url.encode()).hexdigest()
item[
"path"
] = f"{image_url_hash[:3]}/{image_url_hash[3:6]}/{image_url_hash[6:9]}"
image_filename = f"{image_url_hash[:3]}/{image_url_hash[3:6]}/{image_url_hash[6:9]}/{image_url_hash}.jpg"
return image_filename
def item_completed(self, results, item, info):
image_paths = [x["path"] for ok, x in results if ok]
if not image_paths:
raise DropItem("Item contains no images")
return item
Right now it is just downloading item['image_urls'] and adding path to just item['path'] not downloading item['similarIdeas']['image_urls'] and empty path item['similarIdeas']['path'].
Here is the current output:
[{"ideadId": "163992661", "ideaUrl": "https://www.houzz.com/photos/wild-apple-farmhouse-entry-boston-phvw-vp~163992661", "Title": "Wild Apple", "subTitle": "Farmhouse Entry, Boston", "spaceDescription": "Nestled in the hills of Vermont is a relaxing winter retreat that looks like it was planted there a century ago. Our architects worked closely with the builder at Wild Apple Homes to create building sections that felt like they had been added on piece by piece over generations. With thoughtful design and material choices, the result is a cozy 3,300 square foot home with a weathered, lived-in feel; the perfect getaway for a family of ardent skiers.\n\nThe main house is a Federal-style farmhouse, with a vernacular board and batten clad connector. Connected to the home is the antique barn frame from Canada. The barn was reassembled on site and attached to the house. Using the antique post and beam frame is the kind of materials reuse seen throughout the main house and the connector to the barn, carefully creating an antique look without the home feeling like a theme house. Trusses in the family/dining room made with salvaged wood echo the design of the attached barn. Rustic in nature, they are a bold design feature. The salvaged wood was also used on the floors, kitchen island, barn doors, and walls. The focus on quality materials is seen throughout the well-built house, right down to the door knobs.\n", "uploadedBy": "SV Design", "Tags": [{"tag": "Entry Photos"}], "starRating": 5, "numberOfReviews": "19 Reviews", "image_urls": ["https://st.hzcdn.com/simgs/pictures/entryways/wild-apple-sv-design-img~837130ef0f57cb20_9-3539-1-c9908ed.jpg"], "path": "c56/02c/c4c", "similarIdeas": [{"ideaId": "88043202", "ideaUrl": "https://www.houzz.com/photos/the-1729-timothy-hyde-house-newton-ma-farmhouse-entry-boston-phvw-vp~88043202", "Title": "The 1729 Timothy Hyde House: Newton, MA", "subTitle": "Farmhouse Entry, Boston", "spaceDescription": "Eric Roth", "uploadedBy": "Cummings Architecture + Interiors", "Tags": [{"tag": "Entry Photos"}], "starRating": 5, "numberOfReviews": "40 Reviews", "image_urls": ["https://st.hzcdn.com/simgs/pictures/entryways/the-1729-timothy-hyde-house-newton-ma-cummings-architecture-interiors-img~5b81c34e08ca9ef0_9-3234-1-9df3701.jpg"], "path": ""}]
Solution
I don't think there is really any trick to achieving what you are asking for. It will likely simply require doing a bunch of dictionary manipulation operations in order to make sure all of the paths are correctly assigned to their correct sub-item.
What I would probably do is completely avoid the situation altogether by calculating/determining the path to the item while you are collecting the url in the callback method. For example to make it really simple, you could simply use the url path parts and repurpose them as the paths for each image underneath your "IMAGE_STORE" directory. This strategy could probably be modified to use hashes like are doing in your example if you prefer that naming convention.
With this strategy you can safely assign the path while in the callback function and then recalculate the same path in the pipeline.
For example:
spider.py
import os
from urllib.parse import urlparse
from pathlib import Path
imgpaths = lambda urls: [os.path.join(*Path(urlparse(url).path).parts[1:]) for url in urls]
...
...
def parse_idea_details(self, response):
item = {}
item["ideaUrl"] = response.url
item["Title"] = response.css(
"h1.hz-view-photo__space-info__title.text-bold::text"
).get()
subtitle = response.css(
"h1.hz-view-photo__space-info__subtitle.text-m::text"
).get()
item["subTitle"] = subtitle
item["spaceDescription"] = response.css(
"div.hz-view-photo__space-info__description.text-m ::text"
).get()
item["uploadedBy"] = response.css("div.vph-owner-info__details ::text").get()
item["Tags"] = [
{"tag": t}
for t in response.css(
"ul.hz-view-photo__breadcrumb.hz-track-me ::text"
).extract()
]
item["starRating"] = len(
response.css(
"span.icon-font.icon-star.hz-star-rate.hz-star-rate--highlighted.star-icon"
)
)
item["numberOfReviews"] = response.css(
"span.hz-star-rate__review-string::text"
).get()
# you can use the "imageURL" field for this items images and then
# use the "image_urls" field to collect all the images for each
# of the similar items in the chained callbacks.
item["imageURL"] = response.css(
"div.view-photo-image-pane > img::attr(src)"
).extract()
item["image_urls"] = item["imageURL"].copy() # <- make sure to copy()
item["similarIdeas"] = []
item["paths"] = imgpaths(item["image_urls"]) # <- lambda path function
spaceId = response.url.split("~")[-1]
body = f"spaceId={spaceId}&fromItem=0&itemsPerPage=10&contentDescriptor=%7B%22t%22%3A1%2C%22et%22%3A3%2C%22id%22%3A160668148%7D"
yield scrapy.Request(
url=self.similar_ideas_api_url,
method="POST",
cookies=self.cookies,
headers=self.headers,
body=body,
cb_kwargs={"item": item},
callback=self.get_similar_ideas_urls,
)
def get_similar_ideas_urls(self, response, item=None):
data = response.json()["spaceData"]["spaces"]
space_keys = list(data.keys())
space_urls = set([data[key]["url"] for key in space_keys])
yield scrapy.Request(
url=space_urls.pop(),
headers=self.headers,
cb_kwargs={"item": item, "space_urls": space_urls},
callback=self.parse_similar_ideas,
)
def parse_similar_ideas(self, response, item=None, space_urls=None):
# add the image urls to the top master list as well as locally.
image_urls = response.css("div.view-photo-image-pane > img::attr(src)").extract()
item["image_urls"] += image_urls
item["similarIdeas"].append(
{
"ideaUrl": response.url,
"Title": response.css(
"h1.hz-view-photo__space-info__title.text-bold::text"
).get(),
"subTitle": response.css(
"h1.hz-view-photo__space-info__subtitle.text-m::text"
).get(),
"spaceDescription": response.css(
"div.hz-view-photo__space-info__description.text-m ::text"
).get(),
"uploadedBy": response.css("div.vph-owner-info__details ::text").get(),
"Tags": [
{"tag": t}
for t in response.css(
"ul.hz-view-photo__breadcrumb.hz-track-me ::text"
).extract()
],
"starRating": len(
response.css(
"span.icon-font.icon-star.hz-star-rate.hz-star-rate--highlighted.star-icon"
)
),
"numberOfReviews": response.css(
"span.hz-star-rate__review-string::text"
).get(),
"image_urls": image_urls, # <- set image_urls here too
"paths": imgpaths(image_urls) # <- calculate paths
}
)
if len(space_urls) > 0:
yield scrapy.Request(
url=space_urls.pop(),
headers=self.headers,
cb_kwargs={"item": item, "space_urls": space_urls},
dont_filter=True,
callback=self.parse_similar_ideas,
)
else:
yield item
pipeline.py
import os
from urllib.parse import urlparse
from pathlib import Path
class HouzzImagePipeline(ImagesPipeline): # Inherit the ImagePipeline class
def get_media_requests(self, item, info):
for image_url in item["image_urls"]:
yield scrapy.Request(image_url)
def file_path(self, request, response=None, info=None, *, item=None):
# use the same calculation as in your spider file to determine paths
return os.path.join(*Path(urlparse(request.url).path).parts[1:])
def item_completed(self, results, item, info):
# once the item is complete you can delete the master
# image_urls list and rename the temporary one
item["image_urls"] = item["imageURL"]
del item["imageURL"]
return item
houzz.json
{
"ideaUrl": "https://www.houzz.com/hznb/photos/modern-flats-at-upshur-contemporary-exterior-dc-metro-phvw-vp~129918737",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Exterior, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Exterior Photos" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/e2017efe0bb769a9_9-6803/home-design.jpg"
],
"paths": ["simgs/e2017efe0bb769a9_9-6803/home-design.jpg"],
"similarIdeas": [
{
"ideaUrl": "https://www.houzz.com/photos/modern-flats-at-upshur-contemporary-living-room-dc-metro-phvw-vp~129918816",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Living Room, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Living Photos" }, { "tag": "Living Room" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/pictures/living-rooms/modern-flats-at-upshur-teass-warren-architects-img~9e91b2470bb769cc_9-0022-1-93f06bb.jpg"
],
"paths": [
"simgs\\pictures\\living-rooms\\modern-flats-at-upshur-teass-warren-architects-img~9e91b2470bb769cc_9-0022-1-93f06bb.jpg"
]
},
{
"ideaUrl": "https://www.houzz.com/hznb/photos/modern-flats-at-upshur-contemporary-balcony-dc-metro-phvw-vp~129918825",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Balcony, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Outdoor Photos" }, { "tag": "Balcony" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/62313bc40bb769d7_9-3043/home-design.jpg"
],
"paths": ["simgs\\62313bc40bb769d7_9-3043\\home-design.jpg"]
},
{
"ideaUrl": "https://www.houzz.com/hznb/photos/modern-flats-at-upshur-contemporary-exterior-dc-metro-phvw-vp~129918737",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Exterior, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Exterior Photos" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/e2017efe0bb769a9_9-6803/home-design.jpg"
],
"paths": ["simgs\\e2017efe0bb769a9_9-6803\\home-design.jpg"]
},
{
"ideaUrl": "https://www.houzz.com/photos/modern-flats-at-upshur-contemporary-exterior-dc-metro-phvw-vp~129918803",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Exterior, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Exterior Photos" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/pictures/exteriors/modern-flats-at-upshur-teass-warren-architects-img~73c1ffae0bb769bb_9-9951-1-f41e987.jpg"
],
"paths": [
"simgs\\pictures\\exteriors\\modern-flats-at-upshur-teass-warren-architects-img~73c1ffae0bb769bb_9-9951-1-f41e987.jpg"
]
},
{
"ideaUrl": "https://www.houzz.com/photos/modern-flats-at-upshur-contemporary-kitchen-dc-metro-phvw-vp~129918823",
"Title": "Modern Flats at Upshur",
"subTitle": "Contemporary Kitchen, DC Metro",
"spaceDescription": null,
"uploadedBy": "Teass \\ Warren Architects",
"Tags": [{ "tag": "Kitchen Photos" }],
"starRating": 5,
"numberOfReviews": "2 Reviews",
"image_urls": [
"https://st.hzcdn.com/simgs/pictures/kitchens/modern-flats-at-upshur-teass-warren-architects-img~96f176ec0bb769d3_9-4718-1-a718bae.jpg"
],
"paths": [
"simgs\\pictures\\kitchens\\modern-flats-at-upshur-teass-warren-architects-img~96f176ec0bb769d3_9-4718-1-a718bae.jpg"
]
},
{
"ideaUrl": "https://www.houzz.com/photos/modern-flats-at-upshur-contemporary-kitchen-dc-metro-phvw-vp~129918820",
"Title": "Modern Flats at Upshur",
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Answered By - Alexander
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