Main

type

0 (not classified)

status

21 (imported old-v2, waiting for another import)

review version

0

cleanup version

0

pending deletion

0 (-)

created at

2025-12-03 23:54:34

updated at

2025-12-03 23:54:34

Address

url

https://business.nextdoor.com/en-gb/enterprise/success-stories/american-express-helped-neighbors-support-and-increase-visibility-for-their-favorite-local-businesses

url length

164

url crc

56932

url crc32

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location type

1 (url matches target location, page_location is empty)

canonical status

10 (verified canonical url)

canonical page id

3078635153

Source

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35358140

domain tld

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domain parts

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originating warc id

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originating url

https://data.commoncrawl.org/crawl-data/CC-MAIN-2025-33/segments/1754151279901.12/warc/CC-MAIN-20250806074443-20250806104443-00872.warc.gz

source type

11 (CommonCrawl)

Server response

server ip

199.60.103.28

Publication date

2025-08-06 08:17:09

Fetch attempts

0

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33686

Normalized and saved size

22839

Content

title

Nextdoor helped neighbours support and increase visibility for their favorite local businesses

excerpt

content

Nextdoor helped neighbours support and increase visibility for their favorite local businesses 8M total nominations 2M unique businesses nominated 25 categories of businesses 5x higher CTR than Nextdoor benchmark Objective Neighbuorhood Favorites is Nextdoor’s annual award program that allows neighbours to recognise, recommend, and nominate their favorite local spots in and around their neighbourhood. It is the only business awards program based on recommendations from real neighbours that live in the local community. This year's Neighbourhood Favorites was sponsored by American Express as part of their "Let's Go Shop Small®" summer campaign, which encourages consumers to support the small business in their communities. Solution This initiative targeted locally-minded, enthusiastic neighbours across the country and encouraged them to nominate their favorite local businesses as a Neighbourhood Favorite. U...

author

Nextdoor Enterprise Team

updated

1765351045

Text analysis

block type

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extracted fields

237

extracted bits

featured image
article author
title
full content
content was extracted heuristically
OpenGraph suggests this is an article

detected location

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detected language

1 (English)

category id

-

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paywall score

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spam phrases

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text cyrillic

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text characters

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text words

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text unique words

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text matched dictionaries

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