A fast and expressive Craigslist API wrapper

Overview

pycraigslist

PyPI version fury.io PyPI pyversions

A fast and expressive Craigslist API wrapper.

As of September 2021, it is believed that Craigslist added a rate-limiter. It is advised to throttle requests to Craigslist to prevent a 403 HTTP response status code. View the Exceptions section below to appropriately handle this error if encountered.

Disclaimer

  • I do not work or have an affiliation with Craigslist.
  • This library is intended for educational purposes. It is not advised to crawl and download data from Craigslist.

Installation

pip install pycraigslist

Quick Start

Find cars & trucks for sale with keyword "Mazda Miata" in the East Bay Area, California:

>> {'country': 'US', 'region': 'CA', 'site': 'sfbay', 'area': 'eby', 'category': 'cto', 'id': '7291715564', 'repost_of': '', 'last_updated': '2021-03-15 09:06', 'title': '1990 Mazda Miata', 'neighborhood': 'oakland lake merritt / grand', 'price': '$5,000', 'url': 'https://sfbay.craigslist.org/eby/cto/d/oakland-1990-mazda-miata/7291715564.html'} # ... ">
import pycraigslist

miatas = pycraigslist.forsale.cta(site="sfbay", area="eby", query="Mazda Miata")
for miata in miatas.search():
    print(miata)

>>> {'country': 'US',
    'region': 'CA',
    'site': 'sfbay',
    'area': 'eby',
    'category': 'cto',
    'id': '7291715564',
    'repost_of': '',
    'last_updated': '2021-03-15 09:06',
    'title': '1990 Mazda Miata',
    'neighborhood': 'oakland lake merritt / grand',
    'price': '$5,000',
    'url': 'https://sfbay.craigslist.org/eby/cto/d/oakland-1990-mazda-miata/7291715564.html'}
    # ...

Background

This library is intended to be expressive and easy to use.

pycraigslist classes

  • pycraigslist.community             (craigslist.org > community)
  • pycraigslist.events                   (craigslist.org > event calendar)
  • pycraigslist.forsale                 (craigslist.org > for sale)
  • pycraigslist.gigs                       (craigslist.org > gigs)
  • pycraigslist.housing                 (craigslist.org > housing)
  • pycraigslist.jobs                       (craigslist.org > jobs)
  • pycraigslist.resumes                 (craigslist.org > resumes)
  • pycraigslist.services               (craigslist.org > services)

We can search for posts in parent classes. For example, finding paid gigs in Portland, Oregon:

>> {'country': 'US', 'region': 'OR', 'site': 'portland', 'area': 'mlt', 'category': 'lbg', 'id': '7295392821', 'repost_of': '7292985211', 'last_updated': '2021-03-22 13:00', 'title': 'Packing and moving', 'neighborhood': 'SE Portland', 'price': '', 'url': 'https://portland.craigslist.org/mlt/lbg/d/portland-packing-and-moving/7295392821.html'} # ... ">
import pycraigslist

paid_gigs = pycraigslist.gigs(site="portland", is_paid=True)
for gig in paid_gigs.search():
    print(gig)

>>> {'country': 'US',
    'region': 'OR',
    'site': 'portland',
    'area': 'mlt',
    'category': 'lbg',
    'id': '7295392821',
    'repost_of': '7292985211',
    'last_updated': '2021-03-22 13:00',
    'title': 'Packing and moving',
    'neighborhood': 'SE Portland',
    'price': '',
    'url': 'https://portland.craigslist.org/mlt/lbg/d/portland-packing-and-moving/7295392821.html'}
    # ...

pycraigslist subclasses

Most pycraigslist classes have subclasses to allow for categorical searches. For example:

  • pycraigslist.forsale.bia         (craigslist.org > for sale > bikes)
  • pycraigslist.forsale.cta         (craigslist.org > for sale > cars & trucks)
  • pycraigslist.housing.apa         (craigslist.org > housing > apartments / housing for rent)
  • pycraigslist.housing.roo         (craigslist.org > housing > apartments / rooms & shares)

Finding pycraigslist subclasses

Use class method .get_categories() to search for subclasses. The resulting keys are the subclass names.

import pycraigslist

print(pycraigslist.housing.get_categories())

>>> {'apa': 'apartments / housing for rent',
    'swp': 'housing swap',
    'off': 'office & commercial',
    'prk': 'parking & storage',
    'rea': 'real estate',
    'reb': 'real estate - by dealer',
    'reo': 'real estate - by owner',
    'roo': 'rooms & shares',
    'sub': 'sublets & temporary',
    'vac': 'vacation rentals',
    'hou': 'wanted: apts',
    'rew': 'wanted: real estate',
    'sha': 'wanted: room/share',
    'sbw': 'wanted: sublet/temp'}

We'd choose pycraigslist.housing.vac if we're interested in searching for vacation rentals.

Finding and using filters

We can apply filters to our search. Use .get_filters() to find valid filters for a class or subclass instance.

Search filters are sensitive to the context of the pycraigslist instance and the language of the region. For example, here are applicable filters for cars & trucks for sale in Tokyo, Japan:

>> {'query': '...', 'search_titles': 'True/False', 'has_image': 'True/False', 'posted_today': 'True/False', 'bundle_duplicates': 'True/False', 'search_distance': '...', 'zip_code': '...', 'min_price': '...', 'max_price': '...', 'make_model': '...', 'min_year': '...', 'max_year': '...', 'min_miles': '...', 'max_miles': '...', 'min_engine_displacement': '...', 'max_engine_displacement': '...', 'condition': ['新品', 'ほぼ新品', '美品', '良品', '使用に問題なし', 'サルベージ'], 'auto_cylinders': ['3気筒', '4気筒', '5気筒', '6気筒', '8気筒', '10気筒', '12気筒', 'その他'], 'auto_drivetrain': ['前輪', '後輪', '4WD'], 'auto_fuel_type': ['ガソリン', 'ディーゼル', 'ハイブリッド', '電気', 'その他'], 'auto_paint': ['ブラック', 'ブルー', 'ブラウン', 'グリーン', 'グレー', 'オレンジ', 'パープル', 'レッド', 'シルバー', 'ホワイト', 'イエロー', 'カスタム'], 'auto_size': ['コンパクト', 'フルサイズ', '中型', 'サブコンパクト'], 'auto_title_status': ['クリーン', 'サルベージ', '再生', '部品のみ', '先取特権', '不明'], 'auto_transmission': ['MT', 'AT', 'その他'], 'auto_bodytype': ['バス', 'コンバーチブル', 'クーペ', 'ハッチバック', 'ミニバン', 'オフロード', 'ピックアップ', 'セダン', 'トラック', 'SUV', 'ワゴン', 'バン', 'その他'], 'language': ['afrikaans', 'català', 'dansk', 'deutsch', 'english', 'español', 'suomi', 'français', 'italiano', 'nederlands', 'norsk', 'português', 'svenska', 'filipino', 'türkçe', '中文', 'العربية', '日本語', '한국말', 'русский', 'tiếng việt']} ">
import pycraigslist

tokyo_autos = pycraigslist.forsale.cta(site="tokyo")
print(tokyo_autos.get_filters())

>>> {'query': '...', 'search_titles': 'True/False', 'has_image': 'True/False',
    'posted_today': 'True/False', 'bundle_duplicates': 'True/False',
    'search_distance': '...', 'zip_code': '...', 'min_price': '...', 'max_price': '...',
    'make_model': '...', 'min_year': '...', 'max_year': '...', 'min_miles': '...',
    'max_miles': '...', 'min_engine_displacement': '...', 'max_engine_displacement': '...',
    'condition': ['新品', 'ほぼ新品', '美品', '良品', '使用に問題なし', 'サルベージ'],
    'auto_cylinders': ['3気筒', '4気筒', '5気筒', '6気筒', '8気筒', '10気筒', '12気筒', 'その他'],
    'auto_drivetrain': ['前輪', '後輪', '4WD'],
    'auto_fuel_type': ['ガソリン', 'ディーゼル', 'ハイブリッド', '電気', 'その他'],
    'auto_paint': ['ブラック', 'ブルー', 'ブラウン', 'グリーン', 'グレー', 'オレンジ', 'パープル',
                   'レッド', 'シルバー', 'ホワイト', 'イエロー', 'カスタム'],
    'auto_size': ['コンパクト', 'フルサイズ', '中型', 'サブコンパクト'],
    'auto_title_status': ['クリーン', 'サルベージ', '再生', '部品のみ', '先取特権', '不明'],
    'auto_transmission': ['MT', 'AT', 'その他'],
    'auto_bodytype': ['バス', 'コンバーチブル', 'クーペ', 'ハッチバック', 'ミニバン', 'オフロード',
                      'ピックアップ', 'セダン', 'トラック', 'SUV', 'ワゴン', 'バン', 'その他'],
    'language': ['afrikaans', 'català', 'dansk', 'deutsch', 'english', 'español', 'suomi',
                 'français', 'italiano', 'nederlands', 'norsk', 'português', 'svenska',
                 'filipino', 'türkçe', '中文', 'العربية', '日本語', '한국말', 'русский',
                 'tiếng việt']}

To find cars & trucks with clean titles, we'd use the filter parameter "クリーン" (pronounced 'koo-lean'):

>> {'country': 'JP', 'region': '', 'site': 'tokyo', 'area': '', 'category': 'cto', 'id': '7301105503', 'repost_of': '', 'last_updated': '2021-04-03 14:04', 'title': 'Suzuki Jimny 660 XG 4WD Keyless Entry Aluminum Wheel Non-Smoking Car', 'neighborhood': 'Chiba Ken, Noda shi, Funakata 1630-1', 'price': '¥650,000', 'url': 'https://tokyo.craigslist.org/cto/d/suzuki-jimny-660-xg-4wd-keyless-entry/7301105503.html'} # ... ">
import pycraigslist

tokyo_autos = pycraigslist.forsale.cta(site="tokyo", auto_title_status="クリーン")
for auto in tokyo_autos.search():
    print(auto)

>>> {'country': 'JP',
    'region': '',
    'site': 'tokyo',
    'area': '',
    'category': 'cto',
    'id': '7301105503',
    'repost_of': '',
    'last_updated': '2021-04-03 14:04',
    'title': 'Suzuki Jimny 660 XG 4WD Keyless Entry Aluminum Wheel Non-Smoking Car',
    'neighborhood': 'Chiba Ken, Noda shi, Funakata 1630-1',
    'price': '¥650,000',
    'url': 'https://tokyo.craigslist.org/cto/d/suzuki-jimny-660-xg-4wd-keyless-entry/7301105503.html'}
    # ...

When applying many filters, pass a dictionary of filters into the filters keyword parameter. Note: keyword argument filters will override filters if there are conflicting keys. For example:

import pycraigslist

bike_filters = {
    "bicycle_frame_material": "steel",
    # array of filter values are accepted
    "bicycle_wheel_size": ["650C", "700C"],
    "bicycle_type": "road",
}
# we'd still get titanium road bikes with size 650C or 700C wheels
titanium_bikes = pycraigslist.forsale.bia(
    site="sfbay", area="sfc", bicycle_frame_material="titanium", filters=bike_filters
)

Searching for posts

General search

To search for Craigslist posts, use .search(). .search() will return a dictionary of post attributes (type str) and will search for every post by default. Use the limit keyword parameter to add a stop limit to a query. For example, use limit=50 to get 50 posts. There is a maximum of 3000 posts per query.

Find the first 20 posts for farming and gardening services in Denver, Colorado:

>> {'country': 'US', 'region': 'CO', 'site': 'denver', 'area': '', 'category': 'fgs', 'id': '7301324564', 'repost_of': '6974119634', 'last_updated': '2021-04-03 11:47', 'title': '🌲 Tree Removal/Trimming, Stump Grind: LICENSED/INSURED! 720-605-1584', 'neighborhood': 'All Areas', 'price': '', 'url': 'https://denver.craigslist.org/fgs/d/littleton-tree-removal-trimming-stump/7301324564.html'} # ... ">
import pycraigslist

gardening_services = pycraigslist.services.fgs(site="denver")
for service in gardening_services.search(limit=20):
    print(service)

>>> {'country': 'US',
    'region': 'CO',
    'site': 'denver',
    'area': '',
    'category': 'fgs',
    'id': '7301324564',
    'repost_of': '6974119634',
    'last_updated': '2021-04-03 11:47',
    'title': '🌲 Tree Removal/Trimming, Stump Grind: LICENSED/INSURED! 720-605-1584',
    'neighborhood': 'All Areas',
    'price': '',
    'url': 'https://denver.craigslist.org/fgs/d/littleton-tree-removal-trimming-stump/7301324564.html'}
    # ...

Detailed search

Use .search_detail() to get detailed Craigslist posts. The limit keyword parameter in .search also applies to .search_detail. Set include_body=True to include the post's body in the output. By default, include_body=False. Disclaimer: .search_detail is more time consuming than .search.

Get detailed posts with the post body for all cars & trucks for sale in Abilene, Texas:

>> {'country': 'US', 'region': 'TX', 'site': 'abilene', 'area': '', 'category': 'cto', 'id': '7309894792', 'repost_of': '', 'last_updated': '2021-04-20 12:17', 'title': '2009 Mercedes GL-320', 'neighborhood': 'Brownwood', 'price': '$12,000', 'url': 'https://abilene.craigslist.org/cto/d/brownwood-2009-mercedes-gl-320/7309894792.html', 'lat': '31.729000', 'lon': '-99.019000', 'address': '', 'misc': ['2009 mercedes-benz gl-class'], 'condition': 'excellent', 'drive': 'fwd', 'fuel': 'diesel', 'odometer': '100700', 'paint_color': 'black', 'title_status': 'clean', 'transmission': 'automatic', 'body': 'BEAUTIFUL car inside and out!! Diesel with only 100k, mechanic says its in great condition.'} # ... ">
import pycraigslist

all_autos = pycraigslist.forsale.cta(site="abilene")
for auto in all_autos.search_detail(include_body=True):
    print(auto)

>>> {'country': 'US',
    'region': 'TX',
    'site': 'abilene',
    'area': '',
    'category': 'cto',
    'id': '7309894792',
    'repost_of': '',
    'last_updated': '2021-04-20 12:17',
    'title': '2009 Mercedes GL-320',
    'neighborhood': 'Brownwood',
    'price': '$12,000',
    'url': 'https://abilene.craigslist.org/cto/d/brownwood-2009-mercedes-gl-320/7309894792.html',
    'lat': '31.729000',
    'lon': '-99.019000',
    'address': '',
    'misc': ['2009 mercedes-benz gl-class'],
    'condition': 'excellent',
    'drive': 'fwd',
    'fuel': 'diesel',
    'odometer': '100700',
    'paint_color': 'black',
    'title_status': 'clean',
    'transmission': 'automatic',
    'body': 'BEAUTIFUL car inside and out!! Diesel with only 100k, mechanic says its in great condition.'}
    # ...

Additional attributes

  • __doc__: Gets category name.
  • url: Gets full URL.
  • count: Gets number of posts.
>> 'apartments / housing for rent' # 2 print(east_bay_apa.url) >>> 'https://sfbay.craigslist.org/search/eby/apa?searchNearby=1&s=0&max_price=800' # 3 print(east_bay_apa.count) >>> 56 ">
import pycraigslist

east_bay_apa = pycraigslist.housing.apa(site="sfbay", area="eby", max_price=800)

# 1
print(east_bay_apa.__doc__)
>>> 'apartments / housing for rent'

# 2
print(east_bay_apa.url)
>>> 'https://sfbay.craigslist.org/search/eby/apa?searchNearby=1&s=0&max_price=800'

# 3
print(east_bay_apa.count)
>>> 56

Exceptions

pycraigslist has the following exceptions:

  • ConnectionError : exceeded maximum retries for a query
  • HTTPError : encountered a client or server error
  • InvalidFilterValue : filter is not recognized or has an invalid value

To use pycraigslist exceptions, import / import from pycraigslist.exceptions. For example:

import pycraigslist
from pycraigslist.exceptions import ConnectionError, HTTPError, InvalidFilterValue

try:
    sf_bikes = pycraigslist.forsale.bia(site="sfbay", area="sfc", min_price=50)
    for bike in sf_bikes.search():
        print(bike)
except ConnectionError:
    print("Yikes! Something's up with the network.")
except HTTPError as e:
    print(f"Bad HTTP response encountered: {e.status_code} {e.detail}")
except InvalidFilterValue as e:
    print(f"Craigslist filter validation failed. Filter: '{e.name}', Value: '{e.value}'")

Contribute

Support

If you are having issues or would like to propose a new feature, please use the issues tracker.

License

The project is licensed under the MIT license.

Owner
Ira Horecka
Ira Horecka
TON Miner from TON-Pool.com

TON-Pool Miner Miner from TON-Pool.com

21 Nov 18, 2022
Simple Webhook Spammer with Optional Proxy Support

😎 �Simple Webhook Spammer with Optional Proxy Support:- [+] git clone https://g

Terminal1337 12 Sep 29, 2022
Decode the Ontario proof of vaccination QR code

Decode the contents of the Ontario Proof of Vaccination (the "Smart Health Card QR Code") Output This is from my QR code, hopefully fully redacted alt

Wesley Ellis 4 Oct 22, 2021
Want to play What Would Rather on your Server? Invite the bot now!😏

What is this Bot? 👀 What You Would Rather? is a Guessing game where you guess one thing. Long Description short Take this example: You typed r!rather

丂ㄚ么乙ツ 2 Nov 17, 2021
Bulk convert image types with Python

Bulk Image Converter 🔥 Helper script to convert a folder's worth of images from one filetype to another, and optionally delete originals Use Setup /

1 Nov 13, 2021
Python wrapper to simplify calls to AncestryDNA API.

AncestryDNA API wrapper Ancestry exposes an undocumented REST API for its DNA features. This Python wrapper inventories the available calls, and expos

Matt 2 Jun 10, 2022
multi-purpose discord bot

virus multi-purpose discord bot ⚠️ WARNING This project is incomplete and may not work as expected. Download & Run Install Python =3.10 Clone the sou

miten 2 Jan 17, 2022
Discord bot to monitor collection of mods on the Steam Workshop and notify on update to selected discord server via Nextcordbot API.

Steam-Workshop-Monitor Discord bot to monitor collection of mods on the Steam Workshop and notify on update to selected Discord channel via Nextcordbo

7 Nov 03, 2022
Python library for Seeedstudio Grove devices

grove.py Python library for Seeedstudio Grove Devices on embeded Linux platform, especially good on below platforms: Coral Dev Board (Wiki) NVIDIA Jet

Seeed Studio 123 Dec 17, 2022
Plazmix API wrapper for Python

An optimised, easy to use Plazmix API wrapper written in Python

Someone 2 Nov 16, 2021
Nonebot2 简易群管

简易群管 ✨ NoneBot2 简易群管 ✨ _ 踢 改 禁 欢迎issue pr 权限说明:permission=SUPERUSER 安装 💿 pip install nonebot-plugin-admin 导入 📲 在bot.py 导入,语句: nonebot.load_plugin("n

幼稚园园长 74 Dec 22, 2022
Presentation and code files for the talk at PyCon Indonesia

pycon-indonesia Presentation and code files for the talk at PyCon Indonesia. Files used for the PyCon Indonesia presentation. [Directory Includes:] Be

Neeraj Pandey 2 Dec 04, 2021
Ark API Wrapper in Python

Pythark Ark API Wrapper in Python. Built with Python Requests Installation Pythark uses Arky to create a new transaction, if you want to use this feat

Jolan 14 Mar 11, 2021
Forked from 0x36 on github who then rewrote the ida_kernelcache python framework

Forked from 0x36 on github who then rewrote the ida_kernelcache python framework. Sadly 0x36 doesn't seem to have push updates to the project and it took me a very long time to figure out why this wa

Turnerhackz1 6 Dec 13, 2022
A simple google translator telegram bot

Translator-Bot A simple google translator telegram bot Please fork this repository don't import code Made with Python3 (C) @FayasNoushad Copyright per

Fayas Noushad 14 Nov 12, 2022
This tool adds votes to strawpoll.me polls.

Strawpoll-Botter This tool adds votes to strawpoll.me polls. Usage Basic usage: py main.py -r amount of votes to put poll id option # Usage: py

MonkeySkid 2 Feb 28, 2022
REPO USERBOT YANG DIBUAT DARI BERBAGAI REPO USERBOT GITHUB.

Lord Userbot Userbot Yang Digunakan Untuk Bersenang-Senang Di Telegram Repo Lord Userbot Repo Yang Dibuat Alvin Dari Berbagai Repo Userbot Github CARA

Alvin 70 Jan 02, 2023
Compares and analyzes GCP IAM roles.

gcp-iam-analyzer I wrote this to help in my day to day working in GCP. A lot of the time I am doing role comparisons to see which role has more permis

Jason Dyke 37 Dec 28, 2022
Super Fast Telegram UserBot Made With Python.

Description Super Fast Telegram UserBot Made With Python. LOGO Made With Support of All Userbots Dev's Dark-Venom is a Light-Weight Userbot. It's unde

2 Sep 14, 2021
Data and a Twitter bot for the EPA's DOCUMERICA (1972-1977) program.

documerica This repository holds JSON(L) artifacts and a few scripts related to managing archival data from the EPA's DOCUMERICA program. Contents: Ma

William Woodruff 2 Oct 27, 2021