AutoScraping

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+300
Clients
100%
Job succes on Upwork
+100k
Scraped websites
+3 M
Cells delivered monthly
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AutoScraping Data Products: APIs & Datasets

Explore AutoScraping’s datasets, databases, and data feeds.
Our dataset includes 10M+ U.S. properties with detailed insights like addresses, prices, Zillow estimates, bedrooms, bathrooms, and lot s...
1M records
USA covered
Autoscraping's Idealista Real Estate Data provides over 5M property listings in Spain, featuring detailed prices, comprehensive descripti...
5M records
3 countries covered
Unlock comprehensive Mexico real estate insights with Inmuebles24's dataset. Featuring 100K+ listings, detailed metadata, geolocation, pr...
100K records
Mexico covered
Comprehensive Latin American real estate dataset featuring detailed property info, pricing, and geolocation. Ideal for market analysis an...
100K records
7 countries covered
Access 150K+ property listings from 4 top real estate platforms in Mexico. Detailed pricing, geolocation, and amenities data for comprehe...
150K records
Mexico covered
Access 10M+ global Google Places reviews with ratings, comments. Ideal for consumer insights, market research, and sentiment analysis. Hi...
1M records
189 countries covered

AutoScraping Pricing & Cost

Learn about AutoScraping’s prices, subscription cost, and API pricing.

Subscription Model: For ongoing data needs, we provide a subscription service that includes regular updates and continuous access to fresh data.

One-Time Payment: For clients who require a specific dataset, we offer a one-time payment option. This is ideal for projects with defined data needs and no requirement for regular updates.

Customized Pricing: For more complex projects or large-scale data extraction, we can develop a customized pricing model based on the specific requirements of the project.

AutoScraping’s APIs and datasets range in cost from $200 / month to $10,000 / year. Get talking to a member of the AutoScraping team to receive custom pricing options, information about data subscription fees, and quotes for AutoScraping’s data offering tailored to your use case.

AutoScraping Reviews

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About AutoScraping

Learn more about AutoScraping’s data sources, use cases, and integrations.

AutoScraping in a Nutshell

We are a web scraping and data solutions company specializing in custom-built data extraction services. Our expertise lies in creating scalable, efficient, and reliable web scrapers tailored to the specific needs of our clients. Our dedicated team consists of 25 professionals, including data scientists, software engineers, and web scraping specialists. We began as a small group of colleagues, evolved into a freelance agency, and officially established ourselves as a company in 2021.

Headquarters
Argentina

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Use Cases

In the first case, we developed an automation solution for querying National ID numbers (DNI) in Colombia, where the main challenge was solving captchas and extracting accurate data from a government platform. We implemented a system that automates the insertion of DNI numbers, efficiently resolves captchas, and stores the extracted information in a database, enabling the client to verify identities quickly and reliably.

In the second case, we assisted an insurance company in automating the process of querying insurance prices for cars and homes. Our system automated the insertion of relevant data into quotation pages, extracted prices and premium calculations, and stored the results in CSV files. This allowed the client to access up-to-date quotes in an automated manner, optimizing their decision-making process and insurance management.

Account-Based Marketing (ABM)
Analytics
Audience Analytics
Audience Insights
Audience Intelligence
B2B Data Enrichment B2B Lead Generation B2B Marketing Analytics
Show 31 more

Data Sources & Collection

At Autoscraping, we obtain data directly from publicly accessible websites, APIs, and online databases, depending on the client’s needs. We collect it using custom-built web scrapers designed to efficiently navigate and extract relevant information. Once the data is collected, we apply specific transformations to clean, normalize, and structure it according to the project requirements, ensuring it’s ready for analysis or integration into your systems.

Key Differentiators

Autoscraping culture
Benefit from our culture of innovation, commitment, and excellence.

Constant innovation
Stay ahead with the latest trends and technologies, thanks to our innovative team.

Efficiency and Speed
Our engineers swiftly implement new scraping solutions and optimize existing ones.

Flexibility and scalability
Scale your operations quickly without the hassle of hiring and training new staff.

Senior mentoring
Receive support from our most experienced engineers for rapid issue resolution.

Web Scraping Specialist
We guarantee high-quality results with a focus on precision.

Integrations

What are you looking for?

100% Response rate

Frequently asked questions about AutoScraping

What does AutoScraping do?

We convert millions of unstructured data on structured, clean and precise data.

How much does AutoScraping cost?

AutoScraping’s APIs and datasets range in cost from $200 / month to $10,000 / year. Get talking to a member of the AutoScraping team to receive custom pricing options, information about data subscription fees, and quotes for AutoScraping’s data offering tailored to your use case.

What kind of data does AutoScraping have?

B2B Leads Data, Futures Price Data, Construction Project Leads Data, Business Listings Data, and 37 others

What data does AutoScraping offer?

Our data is uniquely tailored to each client’s specific needs, ensuring relevance and accuracy. We focus on high-quality, real-time data extraction, minimizing errors and maximizing reliability. Additionally, our scrapers are designed to handle complex and large-scale websites, providing comprehensive coverage and deeper insights. This combination of customization, precision, and scalability sets our data apart from the rest.

How does AutoScraping collect data?

At Autoscraping, we obtain data directly from publicly accessible websites, APIs, and online databases, depending on the client’s needs. We collect it using custom-built web scrapers designed to efficiently navigate and extract relevant information. Once the data is collected, we apply specific transformations to clean, normalize, and structure it according to the project requirements, ensuring it’s ready for analysis or integration into your systems.

What are the best use cases for AutoScraping’s data?

In the first case, we developed an automation solution for querying National ID numbers (DNI) in Colombia, where the main challenge was solving captchas and extracting accurate data from a government platform. We implemented a system that automates the insertion of DNI numbers, efficiently resolves captchas, and stores the extracted information in a database, enabling the client to verify identities quickly and reliably. In the second case, we assisted an insurance company in automating the process of querying insurance prices for cars and homes. Our system automated the insertion of relevant data into quotation pages, extracted prices and premium calculations, and stored the results in CSV files. This allowed the client to access up-to-date quotes in an automated manner, optimizing their decision-making process and insurance management.