Scrap application details
Scrap application details from 479 areas.
1. find how many scrapers types available
2. base on scrapers data (how many areas using, is in London) will decide which one will be covered in script.
3. scrape data per scraper type.
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Scraping example Aberdeen - idox.
go to
https://www.planit.org.uk/find/areas/
https://www.planit.org.uk/api/areas/json?pg_sz=15&page=1&
use area_name (Aberdeen) and scraper_type (Idox)
get area https://www.planit.org.uk/planarea/Aberdeen/
https://www.planit.org.uk/api/applics/json?auth=Aberdeen&recent=188&pg_sz=30
use name (220610/PAN)
get application
https://www.planit.org.uk/planapplic/Aberdeen/220610/PAN/json
use url property
if Idox
change summary to details
and scrape Applicant Name, Agent Name, Agent Address, Agent Company name, Case Officer - or all fields.
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Tascomi scraper https://www.planit.org.uk/planarea/Barking%20and%20Dagenham/
scaper-type Tascomi
use url property
https://online-befirst.lbbd.gov.uk/planning/index.html?fa=getApplication&id=30204
will use Applicant: Agent: Location: Officer:
Planning applications only London for now.
what : Applicant Name, Agent Name, Agent Address, Agent Company name - (if exist), Case Officer
from: 33 Areas (9 different sources see bellow)
how much: 5000 application per area
output: mysql or json
From
33 Areas:
https://github.com/nsenkevich/uk_planning_scraper/blob/nsenkevich-patch-1/london_areas.json
Applications per area auth=area_name
9 scraper pages examples:
Ocella = 2
PlanningExplorer = 4
Tascomi = 3
https://planningapps.hackney.gov.uk/planning/index.html?fa=getApplication&id=73402
Thames = 2
https://planning.hounslow.gov.uk/Planning_CaseNo.aspx?strCASENO=PA/2022/1568
SwiftLG = 1
https://planning.agileapplications.co.uk/redbridge/application-details/188270
idol = 18
CivicaJson = 1
https://planningsearch.harrow.gov.uk/planning/search-applications#VIEW?RefType=GFPlanning&KeyNo=982973&KeyText=Subject
AppSearchServ = 1
http://www.planningservices.haringey.gov.uk/portal/servlets/ApplicationSearchServlet?PKID=419875
Custom 1
Output
data can be stored in relational (mysql) or object base (mongo)
example of parsing next page
after parsing should get
table applications
applicationID agentId ownerId CaseOfficerId
22/03348/ADFULL 11 21 31
table agents
agentId name address
11 Ailish Collins Old Church Court Claylands Road Oval London SW8 1NZ
table owners
ownerId name address
21 Shaftesbury Covent Garden Limited 39 King Street Covent Garden London WC2E 8JS
table officers
CaseOfficerId name
31 South Planning Team
-
21 days564 USD
69 21 days564 USD
Hi,
I can develop for you parsers/scrappers as per your requirements, deploy it to your server.
Thanks.
-
1 day45 USD
465 16 1 1 day45 USD
Hello Nikolai,
I am a software engineer with 5+ years of experience in data science, including web scraping.
I am ready to parse all the required data.
I can also provide the scraper's source code at an additional cost.
Could you clarify the output format?
Please inbox me.
-
Hi, Nikolai. Could you, please, clarify a few moments:
1) Do you want to parse data based on ONE scrapper only (the one that covers most of the areas)?
2) What date range are you interested in? By default, the website shows only last 30 applications.
3) Do you need a script to run on your own or do you need just data (one time parsing)?
-
hey Vladislav,
updated project description.
1. I will need parser which parse from 9 different sources same type of data.
2. 1 year around 5000 applications per area (provided link with updated description)
3. script will be run monthly to update db, can be open sourced to help other developers, - js/ruby/python
-
Thanks for your answers. I see now that it’s not my type of project (I usually do one time parsing).
-
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London