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
A Wrapper for ScarletAPI

ScarletAPI A Wrapper for ScarletAPI still a work in progress Docs these are the

Amashi 0 Mar 24, 2022
This is the repository for HalpyBOT, the Hull Seals IRC Chatbot Assistant.

HalpyBOT 1.4.2 This is the repository for HalpyBOT, the Hull Seals IRC Chatbot Assistant. Description This repository houses all of the files required

The Hull Seals 3 Nov 03, 2022
A simple Telegram bot that converts a phone number to a direct whatsapp chat link

Open in WhatsApp I was using a great app to open a whatsapp chat with a given number directly without saving that number in my contact list, but I fel

Pathfinder 19 Dec 24, 2022
Slack bot to automatically delete yubisneeze / accidental yubikey presses

YubiSnooze Slack bot to automatically delete yubisneeze / accidental yubikey presses. It will search using the regex "[cbdefghijklnrtuv]{44}" and if t

Andrew MacPherson 3 Feb 09, 2022
3X Fast Telethon Based Bot

📺 YouTube Song Downloader Bot For Telegram 🔮 3X Fast Telethon Based Bot ⚜ Easy To Deploy 🤗

@Dk_king_offcial 1 Dec 09, 2021
Set up recurring buys in Gemini

Overview Set up recurring buys in Gemini. Given some keys (Create API Keys), allows you to configure a recurring buy using the reduced API maker and t

Ahmad Abuomar 3 Jan 06, 2022
The records of 42 million users from a third-party version of the popular Telegram messaging app have just been Iranian accounts leaked

TelegramDatabase About The records of 42 million users from a third-party version of the popular Telegram messaging app have just been Iranian account

Hamed Mohammadvand 10 Jan 14, 2022
simple discord token grabber with webhook hiding feature.

Token Grabber A simple Discord token grabber with base64 webhook encoding, it uses pastebin as a database to get webhook, so next time u dont get your

0 Dec 01, 2021
A Telegram Most Powerful Media Info Bot.

Media Info Bot Support 🚑 Demo For The Bot -Test Our Bot By Clicking The Button Below Deploy To Heroku 🗳 Press the Deploy Button to Get Your Own Bot.

Anonymous 5 May 16, 2022
Pincer-ext-commands - A simple, lightweight package for pincer prefixed commands

pincer.ext.commands A reimagining of pincer's command system and bot system. Ins

Vincent 2 Jan 11, 2022
A python API for BSCScan (Binance Smart Chain Explorer), available on PyPI.

bscscan-python A complete Python API for BscScan.com, available on PyPI. Powered by BscScan.com APIs. This is a gently modified fork of the etherscan-

Panagiotis Kotsias 246 Dec 31, 2022
PaddleOCR推理的pytorch实现和模型转换

PaddleOCR2Pytorch 简介 ”真·白嫖“PaddleOCR 注意 PytorchOCR由PaddleOCR-2.0rc1+动态图版本移植。 特性 高质量推理模型,准确的识别效果 超轻量ptocr_mobile移动端系列 通用ptocr_server系列 支持中英文数字组合识别、竖排文本

519 Jan 08, 2023
A simple use library for bot discord.py developers

Discord Bot Template It's a simple use library for bot discord.py developers. Ob

Tir Omar 0 Oct 16, 2022
Bypass Hcaptcha Purely based on http requests, Creates unlocked discord accounts if used correctly

hcaptcha-bypass-discord Bypass HCAPTCHA purely based on http requests Works for discord dosen't create locked accounts :)) HOW TO USE ◉ add the hcapby

Avenger 80 Dec 22, 2022
A replacement for Reddit /r/copypasta CummyBot2000 with extra measures to avoid it being banned.

CummyBot1984 A replacement for Reddit /r/copypasta's CummyBot2000 with extra measures to respect Reddit's API rules. Features Copies and replies to ev

2 Feb 21, 2022
Texting service to receive current air quality conditions and maps, powered by AirNow, Twilio, and AWS

The Air Quality Bot is generally available by texting a zip code (and optionally the word "map") to (415) 212-4229. The bot will respond with the late

Alex Laird 8 Oct 16, 2022
Pure Python 3 MTProto API Telegram client library, for bots too!

Telethon ⭐️ Thanks everyone who has starred the project, it means a lot! Telethon is an asyncio Python 3 MTProto library to interact with Telegram's A

LonamiWebs 7.3k Jan 01, 2023
A Python AWS Lambda Webhook listener that generates a permanent URL when an asset is created in Contentstack.

Webhook Listener A Python Lambda Webhook Listener - Generates a permanent URL on created assets. See doc on Generating a Permanent URL: https://www.co

Contentstack Solutions 1 Nov 04, 2021
A tool for extracting plain text from Wikipedia dumps

WikiExtractor WikiExtractor.py is a Python script that extracts and cleans text from a Wikipedia database dump. The tool is written in Python and requ

Giuseppe Attardi 3.2k Dec 31, 2022
NFTs Upload to OpenSea CuseEdition

NFTs-Upload-to-OpenSea-CuseEdition YOUTUBE VIDEO - Soon... Download Python and

Lil Cuse 2 Jan 04, 2022