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https://github.com/Bunsly/HomeHarvest.git
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[chore]: clean up
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118
examples/HomeHarvest_Demo.ipynb
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118
examples/HomeHarvest_Demo.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cb48903e-5021-49fe-9688-45cd0bc05d0f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from homeharvest import scrape_property\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "156488ce-0d5f-43c5-87f4-c33e9c427860",
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"metadata": {},
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"outputs": [],
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"source": [
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"pd.set_option('display.max_columns', None) # Show all columns\n",
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"pd.set_option('display.max_rows', None) # Show all rows\n",
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"pd.set_option('display.width', None) # Auto-adjust display width to fit console\n",
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"pd.set_option('display.max_colwidth', 50) # Limit max column width to 50 characters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c8b9744-8606-4e9b-8add-b90371a249a7",
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"metadata": {},
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"outputs": [],
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"source": [
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"# scrapes all 3 sites by default\n",
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"scrape_property(\n",
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" location=\"dallas\",\n",
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" listing_type=\"for_sale\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "aaf86093",
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"# search a specific address\n",
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"scrape_property(\n",
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" location=\"2530 Al Lipscomb Way\",\n",
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" site_name=\"zillow\",\n",
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" listing_type=\"for_sale\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ab7b4c21-da1d-4713-9df4-d7425d8ce21e",
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"metadata": {},
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"outputs": [],
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"source": [
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"# check rentals\n",
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"scrape_property(\n",
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" location=\"chicago, illinois\",\n",
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" site_name=[\"redfin\", \"zillow\"],\n",
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" listing_type=\"for_rent\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "af280cd3",
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"# check sold properties\n",
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"scrape_property(\n",
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" location=\"90210\",\n",
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" site_name=[\"redfin\"],\n",
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" listing_type=\"sold\"\n",
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")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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