
Octoparse Web Scraping Expert for Real Estate Data
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Post a project like this22
£100(approx. $133)
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B2B Lead Generation Expert | Contact list building| Cold Email Outreach |LinkedIn Outreach |web Scraping |Email Marketing |Spreadsheets| Data scraping| Data Entry | direct marketing| Data mining |
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Data Entry Expert |Web Scrapping |Content Writing | Excel/Googlesheet Ninja | Google Analytics| GA4|GTM|Python Expert

I will data entry, lead generation, PDF changing ,web scraping, copy past and excel data entry
Digital Marketer|WordPress|DB Expert|Oracle Developer|GMB|GSC|GA|Content Writing|Virtual Assistant
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Description
Experience Level: Entry
I am looking for a highly experienced freelancer who can build a robust and repeatable web scraping framework using Octoparse (or a similar platform) to help us collect property data from three major UK listing platforms:
-Rightmove.co.uk
-Zoopla.co.uk
-OpenRent.co.uk
The scraping setup should follow specific parameters and export new listings daily to a Google Sheet, appending new data without replacing existing entries.
For each property that meets the criteria, the following data should be scraped:
-Website link to the listing
-Name of the lettings agent
-property address as on the website
-Marketing price
-Agent’s email address (by searching the agent's website)
Filtering Criteria (to be built into the scrape):
-Number of Bedrooms:
**Multiple searches based on presets (e.g. 2-bed, 3-bed, 4-bed, 5+ bed), each tied to its own maximum budget cap.
-Budget Ranges:
**Configurable per bedroom range (to be input by us via preset criteria).
-Proximity to Train/Overground Stations:
**Properties must be within 1 mile of a train or overground station (use of geolocation required, not just keyword mention).
-Distance from Central London:
**Must fall within a maximum 20-mile radius from Central London (this should be applied strictly using each platform’s area filters or via Octoparse logic).
Output Details:
-Data should be exported to a Google Sheet, which appends new listings daily without overwriting or duplicating existing entries.
-Manual export is fine for now, but automated export (if possible within Octoparse free version) is preferred.
Deliverables:
-Fully configured scraping tasks in Octoparse for all 3 platforms
-Setup of multiple preset searches (based on bedroom/budget combinations)
-Tutorial (video or written guide) showing how we can adjust budgets, bedroom filters, and radius in the future
-Rightmove.co.uk
-Zoopla.co.uk
-OpenRent.co.uk
The scraping setup should follow specific parameters and export new listings daily to a Google Sheet, appending new data without replacing existing entries.
For each property that meets the criteria, the following data should be scraped:
-Website link to the listing
-Name of the lettings agent
-property address as on the website
-Marketing price
-Agent’s email address (by searching the agent's website)
Filtering Criteria (to be built into the scrape):
-Number of Bedrooms:
**Multiple searches based on presets (e.g. 2-bed, 3-bed, 4-bed, 5+ bed), each tied to its own maximum budget cap.
-Budget Ranges:
**Configurable per bedroom range (to be input by us via preset criteria).
-Proximity to Train/Overground Stations:
**Properties must be within 1 mile of a train or overground station (use of geolocation required, not just keyword mention).
-Distance from Central London:
**Must fall within a maximum 20-mile radius from Central London (this should be applied strictly using each platform’s area filters or via Octoparse logic).
Output Details:
-Data should be exported to a Google Sheet, which appends new listings daily without overwriting or duplicating existing entries.
-Manual export is fine for now, but automated export (if possible within Octoparse free version) is preferred.
Deliverables:
-Fully configured scraping tasks in Octoparse for all 3 platforms
-Setup of multiple preset searches (based on bedroom/budget combinations)
-Tutorial (video or written guide) showing how we can adjust budgets, bedroom filters, and radius in the future

Hakim H.
98% (58)Projects Completed
41
Freelancers worked with
28
Projects awarded
38%
Last project
31 Mar 2025
United Kingdom
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